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6,200 | Patient Perspectives on Medications: Qualitative Interviews | Enrollment number not found | Rating not found | null | Susanne Kaae | University of Copenhagen | [] | This course teaches you how to explore the patient perspective on medicines using qualitative interviews. You will learn how to design, conduct and analyse data in a small interview study. The course is related to the course Understanding Patient Perspectives on Medications, but each course can be taken separately. Please note! In this course you will carry out a small qualitative interview study and to get the most out of this endeavour, we highly recommend that you engage in the discussions: share your thoughts and experiences – and respond to the reflections and questions of your peers.
The course is created by Susanne Kaae, Lourdes Cantarero-Arevalo, Katja Taxis, Anne Gerd Granas, Anna Birna Almarsdóttir, Lotte S. Nørgaard, Sofia K. Sporrong, Johanne M. Hansen, Martin C. Henman, Solveig N. Jacobsen and Ramune Jacobsen. This module starts with a presentation of the different stages of a qualitative interview study. Next, an insight into the different relevant themes that can be explored via interviews is introduced. Finally, you will design a small qualitative interview study to be carried out throughout Weeks 2 to 4. 6 videos2 readings1 assignment1 discussion prompt This module will support you in preparing an interview guide, and illustrates central elements to consider when creating the guide. Also, ethical considerations, strategies and practical advice for recruiting participants will be covered. 4 videos1 reading1 assignment1 discussion prompt1 plugin In this module, you will conduct an interview to gain experience in how to understand patients’ perspectives of medicines use. You will develop your skills as an interviewer and practice those skills in real life. The skills involve paying attention to body language, empathy and active listening. This module will also introduce the most common pitfalls in interview situations, and allow time for reflections on your interviewer skills. 1 video2 readings1 assignment1 discussion prompt This module will provide you with a deeper understanding of how to analyze qualitative interview data. You will learn the most important points to consider when transcribing interviews, and also get an overview of different types of analysis that are commonly used. You will practice your skills by transcribing and analyzing parts of your own interview. Finally, we will ask you to answer a questionnaire where you reflect on your experiences from all the modules of this course. 2 videos2 readings1 assignment1 peer review1 discussion prompt | 4 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/patient-perspectives-on-medications-qualitative-interviews | null |
6,201 | Natural Language Processing with Probabilistic Models | 82,266 | 4.7 | 1,709 | Younes Bensouda Mourri | DeepLearning.AI | ['N-gram Language Models', 'Autocorrect', 'Parts-of-Speech Tagging', 'Word2vec'] | In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming,
b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics,
c) Write a better auto-complete algorithm using an N-gram language model, and
d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model.
By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot!
This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper. Learn about autocorrect, minimum edit distance, and dynamic programming, then build your own spellchecker to correct misspelled words! 11 videos11 readings1 assignment1 programming assignment2 ungraded labs Learn about Markov chains and Hidden Markov models, then use them to create part-of-speech tags for a Wall Street Journal text corpus! 13 videos12 readings1 assignment1 programming assignment2 ungraded labs Learn about how N-gram language models work by calculating sequence probabilities, then build your own autocomplete language model using a text corpus from Twitter! 11 videos10 readings1 assignment1 programming assignment3 ungraded labs Learn about how word embeddings carry the semantic meaning of words, which makes them much more powerful for NLP tasks, then build your own Continuous bag-of-words model to create word embeddings from Shakespeare text. 22 videos23 readings1 assignment1 programming assignment5 ungraded labs | 4 modules | Intermediate level | null | https://www.coursera.org/learn/probabilistic-models-in-nlp | 92% |
6,202 | Inspired Leadership Specialization | 34,417 | 4.8 | 1,275 | Diana Bilimoria, PhD | Case Western Reserve University | ['Appreciative Inquiry', 'Negotiation', 'Leadership', 'Emotional Intelligence', 'Coaching'] | In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work. Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels. This course aims to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes---to lead change with more conviction and confidence---and improve our workplaces and communities for all. By offering more complex understandings of issues related to professional women and work, the course will help you increase self-knowledge about your own values and vision, as well as enhance your capabilities as a leader, manager, and team contributor. We will examine the opportunities, challenges, trade-offs, and organizational dynamics experienced by women in work organizations, as well as reflect on and practice effective individual behaviors. The course aims at answering questions such as: What are the valued attributes and behaviors of women in the workplace? How does the gendered nature of organizations impact women? What derails our career advancement and what propels us upward? What are your leadership goals and aspirations? How can you best integrate your multiple family and work life commitments? How do you define career success? What can organizations do to provide women with opportunities to excel? What opportunities could our global economy harness by advancing women to leadership? How can the full talents of the workforce be tapped into and developed?
The course is about leadership and inspiring change, but at its core it is meant to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes, to lead change with more conviction and confidence, and improve our workplaces and communities for all. Your involvement in the course activities is essential to help you learn these concepts and develop the necessary skills to implement them. If you watch the videos and read the required articles you will be introduced to some intriguing ideas. If you do the personal reflective exercises and complete the final project you will convert those ideas into relevant experiences to enhance your life and work. Going beyond your personal relevance, your potential learning will expand to understanding and working with others more effectively through either the Discussion Forums in the course or through face-to-face discussions (some of you are taking the course in groups). Each week, we will post reminders, changes, and other relevant announcements. Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective. Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. In this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice. As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole
Leading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best. The objectives of this MOOC are to enable you to learn from applying concepts, exercises and learning from the four other MOOCs in this specialization. Learners involved in our programs over the decades have repeatedly told us that going over the material several times helps them progressively delve into the meaning and application of the ideas and experiences. As a result, we have designed this capstone so that it would be the third iteration of working with the ideas and experiences about effective leadership and inspiring its development in others. The first iteration was during one of the other MOOCs in terms of the videos, readings, Forum chats and reflective exercises. The second iteration was doing one of the personal learning or action learning assignments in one of the MOOCs that involved talking to others and writing an essay about the experience. If you had not done the Action learning assignment, then one of the two projects for this MOOC would involve doing it. The third is reviewing and revising your analysis of the experience as the Capstone project to show evidence that you can Be a Leader and help another Develop as a Leader. | 5 course series | Intermediate level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/inspired-leadership | null |
6,203 | Studying Cities: Social Science Methods for Urban Research | 14,739 | 4.7 | 221 | Laura Neijenhuis | Erasmus University Rotterdam | [] | Welcome! Are you looking to learn more about how to conduct scientific research, specifically in an urban or local context? Then you have found the right course: Studying Cities: Social Science Methods for Urban Research by the Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam. During the course you will gain more insight in the different steps of the research cycle, and build a firm foundation for your own future research endeavors.
Before any (urban) researcher may start conducting research, it is crucial to understand the different aspects and elements of doing research. The course will guide you through the various steps of the research cycle to provide you with the basic knowledge necessary for any Master-level program, but with a special focus on urban and local development. The course starts with introductory lectures on the problem statement, research objective, empirical cycle and the research question. Over the following weeks you will also learn the components and criteria of the theoretical framework and operationalization, research strategies, and the collection and analysis of quantitative and qualitative data. You will be provided with the necessary tools to understand and evaluate these key steps in scientific research by watching video lectures with in-video questions and by completing the final peer review, which will use all the elements you have learnt throughout the course. By studying this week’s materials and by answering the related questions and quiz, you will gain a deeper understanding of the need and the criteria for a problem statement, the main components of the research design and how to formulate a good research question. You will learn the different aspects in order to understand these primary steps in conducting research, and be given the tools to evaluate the quality of research questions according to the criteria. 5 videos3 readings2 assignments1 discussion prompt By studying this week’s materials and by answering the related questions and quiz, you will gain more insight in how operationalization transitions theory to empirical research. You will learn how an empirical researcher creates the transformation from the research question to the conceptual framework, and from the complex concepts of this framework to measurable (unambiguous) indicators. You will also become aware of the most common mistakes inexperienced researchers make in the operationalization. 5 videos1 discussion prompt By studying this week’s materials and by answering the related questions and quiz, you will gain more knowledge about the possible strategies or approaches in empirical research. The research strategy of any research should be a coherent body of decisions concerning the way in which the researcher is going to carry out the research in order to obtain valid answers to the research questions. The main strategies in social science research will be discussed during this week’s lectures, namely the survey, quasi-experiment, case study and desk research (working with existing large data sets). You will gain basic knowledge on these 4 strategies, and how they link to research questions. By the end of the week you will understand the importance of choosing appropriate methods and techniques in relation to a research question. 10 videos1 assignment By studying this week’s materials and by answering the related questions and quiz, you will gain knowledge on the basics of collecting data. The video lectures will teach you how to deal with primary quantitative data collection (survey) and secondary quantitative data collection (existing large data sets). We’ll continue the week with qualitative data collection, both primary (interviews) and secondary (from existing literature). Therefore you will gain a basic understanding of the data collection for each of the research strategies treated last week. 9 videos By studying this week’s materials and by answering the related questions and quiz, you will gain insight in the analysis of the different types of data. From the point of data collection last week, it is important to understand the various ways to analysis the data. During this week you collect the essential knowledge on data collection that any academic researcher needs. Links to other MOOCs will be shared that can be used to broader your knowledge on specific statistics. The week concludes with the final test, encompassing all you have learned during the course. By passing this final test, you will pass the course. 10 videos2 assignments1 peer review | 5 modules | null | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/studying-cities-social-science-methods-for-urban-research | 94% |
6,204 | Building Data Lakes on AWS | 30,611 | 4.8 | 258 | Rafael Lopes | Amazon Web Services | ['Machine learning', 'Data lake architecture', 'Data Analytics', 'Data Governance', 'Amazon Web Services (Amazon AWS)', 'Data Engineering', 'Data governance', 'Data Science', 'Data science', 'Machine Learning'] | The fundamental-level course is typically designed for individuals with a basic understanding of data storage and processing concepts but little to no prior experience with building data lakes on AWS specifically. After a brief introduction to Data Lakes, we'll introduce data ingestion, cataloging and preparation, concluding with an overview of querying data with Amazon Athena. The course will continue with an AWS Lake Formation overview, including a hands-on lab where you'll build a data lake. We'll then introduce data processing and analytics leveraing AWS Glue before diving into automated data lake creatiokn using Lake Formation blueprints. Finally, we'll close with Modern Data Architectures on AWS with a lab that covers publishing and consuming data products as a service. This module provides an overview of data lakes, their purpose, and how they differ from data warehouses. It also covers the components and architectures involved in data lakes. 5 videos1 reading2 assignments1 plugin This module focuses on the processes of ingesting data into a data lake, cataloging the data, and preparing it for analysis. It covers topics such as data lake storage, data ingestion methods, crawling and cataloging data, data formatting, partitioning, compression, and querying data with Amazon Athena. 10 videos1 reading1 assignment1 plugin This module introduces AWS Lake Formation, a service that helps build and manage data lakes on AWS. It covers the basic permission model, and provides an overview of the service’s features and capabilities. 3 videos1 reading2 assignments1 app item This module covers data transformation techniques and tools like AWS Glue for processing and analyzing data in the data lake. It includes hands-on demos and a technical talk on Glue and Athena Federated Queries. 7 videos1 assignment1 discussion prompt This module explores advanced features and configurations of AWS Lake Formation, including blueprints, workflows, and fine-grained access control. It also covers data visualization with Amazon QuickSight. 5 videos2 assignments1 app item This module introduces the concept of modern data architecture and its implementation on AWS. It covers data movement scenarios, data sharing models, and relevant readings. 6 videos3 readings2 assignments1 app item1 plugin | 6 modules | Beginner level | null | https://www.coursera.org/learn/introduction-to-designing-data-lakes-in-aws | 96% |
6,205 | Fundamentals of Kubernetes Deployment | 18,992 | 4.3 | 312 | Jim Sullivan | LearnQuest | [] | This course is designed to give you a deeper understanding of Kubernetes. Over the next few weeks, you'll learn about several features of Kubernetes, the Kubernetes Architecture, how to create clusters, and different installation configurations. We'll also explore deployments and how they are scaled, updated, and rolled back. We will discuss clusters, pods, and nodes, and dive into Persistent Volumes as well as Kubernetes Authorization and Authentication.
Lastly, we'll show you how it all comes together in a Kubernetes demo, so you can see it in action. In this module, we'll explore what Kubernetes is, what it solves, and several of its different features. We will also take a look at the components of Kubernetes Architecture. 2 videos2 readings2 assignments1 discussion prompt In this module, we'll discuss how to install Kubernetes and creating your own cluster. We'll also dive deeper into Nodes and how they are managed as well as installing minikube. 4 videos4 readings2 assignments In this module, we'll explore different installation configuration strategies, deployments, and how deployments are scaled, updated, and rolled back. 3 videos4 readings2 assignments In this module, we'll look at clusters, pods, and nodes. We'll also explore Persistent Volumes, Kubernetes Authentication and Authorization. 2 videos4 readings2 assignments This module is a video demo showing how to install Kubernetes, deploy an application, and working with pods and replicasets. 1 video | 5 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/kubernetes-deployment | null |
6,206 | Product Management: Foundations & Stakeholder Collaboration | 11,016 | 4.6 | 139 | Skill-Up EdTech Team | SkillUp EdTech | ['Product Planning', 'Communication', 'Leadership', 'Product Management', 'Stakeholder Management'] | Product managers play a crucial role in driving the development and success of a product, serving as a critical link between customers, stakeholders, and the development team. They are responsible for understanding market requirements, defining product objectives and features, and overseeing the entire product lifecycle from conception to its release.
This course will provide you with valuable skills in fostering productive collaborations, engaging stakeholders effectively, and enhancing communication abilities.
You will learn about Kotler's Five Levels of product and market segmentation. In addition, you’ll explore the product manager's role in business development, SWOT analysis, and Porter's Five Forces Model for market assessment.
The course also helps you understand the concepts of innovation and ideation and equip you with crucial skills for effective communication and teamwork in the field of Product Management.
Throughout this course, several product management experts will share their insights and experiences in product management. Practice quizzes and graded quizzes will test your knowledge. You will be able to apply the concepts learned in the course in a final project.
This course is suitable for anyone who aspires to apply for product management jobs. It requires no prior experience or knowledge of product management. Module 1 provides valuable insights into the foundational skills required for success in the field of product management. It consists of two lessons. Lesson 1, "Effective Collaboration and Stakeholder Engagement," emphasizes the importance of fostering productive collaborations and engaging stakeholders effectively. Lesson 2, "Communication Skills Inventory," focuses on evaluating and enhancing your communication abilities, a fundamental requirement for success in the role of Product Managers. 15 videos4 readings3 assignments3 discussion prompts4 plugins Module 2 offers a deep dive into Product Management and Business Development. Lesson 1 explores "Product Levels and Segmentation," covering Kotler's Five Levels of a Product and Market Segmentation. In Lesson 2, "Product Management, Business Development, and Strategy," you'll learn about the Product Manager's role in business development, SWOT analysis, Porter's 5 Forces Model for market assessment, and product planning and strategy. The Hands-on labs apply these concepts, and the module concludes with quizzes and a glossary. 10 videos1 reading3 assignments2 discussion prompts2 plugins In Module 3, you will learn about driving strategy and innovation. Lesson 1 focuses on innovation, offering insights into various methodologies and challenges, while lesson 2 immerses you in analytical thinking, abstract skills, and the collaborative relationship between product managers and business analysts. 8 videos1 reading3 assignments2 discussion prompts2 plugins Different people communicate in different ways, so it’s important to understand communication styles. Lesson 1 of this module introduces the different types of communication styles and gives you the opportunity to discover your style. Lesson 2 underlines the importance of team communication as well as public relations and media planning. 9 videos1 reading3 assignments3 discussion prompts3 plugins In this module, you will complete a final project where you will review a scenario, develop an Elevator Speech, analyze market forces using the Five Forces framework, explore Product Management skills, and develop an initial public relations plan. Additionally, you will attempt a graded exam designed to evaluate your understanding of Product Management. 2 readings1 assignment1 peer review1 plugin | 5 modules | Beginner level | null | https://www.coursera.org/learn/product-management-foundations-and-stakeholder-collaboration | 96% |
6,207 | Viral Marketing and How to Craft Contagious Content | 310,916 | 4.8 | 5,212 | Jonah Berger | University of Pennsylvania | ['Social Network', 'Viral Marketing', 'Marketing', 'Marketing Strategy'] | Ever wondered why some things become popular, and other don't? Why some products become hits while others flop? Why some ideas take off while others languish? What are the key ideas behind viral marketing? This course explains how things catch on and helps you apply these ideas to be more effective at marketing your ideas, brands, or products. You'll learn how to make ideas stick, how to increase your influence, how to generate more word of mouth, and how to use the power of social networks to spread information and influence. Drawing on principles from his best-selling book, "Contagious: Why Things Catch On," Professor Jonah Berger illustrates successful strategies for you to use buzz to create virality so that your campaigns become more shareable on social media and elsewhere. By the end of this course, you'll have a better understanding of how to craft contagious content, build stickier messages, and get any product, idea, or behavior to catch on. In this module, you'll start to learn what makes products, ideas, and behaviors contagious; in other words, why they catch on. You'll explore the science behind why some things become popular while others fail. You'll also discover the key principles, or six SUCCESs” factors that make messages stick. Finally, you'll learn how to make any idea more memorable, whether it’s a pitch to your boss or a lesson you want students to remember. 8 videos1 assignment In this module, you'll examine how social influence shapes everything people do: from the products we buy and candidates we vote for to the food we like and careers we pursue. You’ll learn how people use others to help them make choices and how companies leverage this power to shape the products and services we use. You'll discover when people are more likely to conform or do the same thing as others, and when they are more likely to diverge or do something different. At the end of this module, you'll understand how to avoid being influenced by others and how to use influence to make yourself more successful. 5 videos1 assignment This module will teach you about the power of word of mouth. You’ll learn why word of mouth, or person to person communication, is 10 times as effective as traditional advertising. Further, you’ll discover why some products or ideas get talked about more than others. Why some online content goes viral or some things get more buzz. You’ll learn the six key STEPPS that drive people to share, and how by understanding those drivers, you can make anything more contagious. 8 videos1 assignment In this module, you'll learn what social networks are, and how they shape the spread of information and influence. How the patterns of social ties between people determine what we do, and what catches on. How people we’ve never even met can influence our tastes and preferences. You’ll learn about how strong and weak ties help get people jobs, and whether to concentrate or spread out marketing resources when launching a new product. By the end of this module, you'll not only be able to analyze the success of popular products, ideas, and services, but also apply these insights to make your own stuff more likely to catch on. 6 videos1 assignment | 4 modules | null | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/wharton-contagious-viral-marketing | 98% |
6,208 | Human Resource Stewardship for Churches | Enrollment number not found | Rating not found | null | Russell Elmayan | Duke University | ['Salary and Benefits Coordination', 'Theology', 'Hiring', 'Human Resource Management'] | Most clergy graduate from seminary or divinity school without coursework, training, or exposure to church administration, church management, or human resource management. Clergy commonly presume most of their time will be spent preaching, presiding at liturgies, forming their congregation in the Christian faith, ensuring the pastoral care of their congregations, and doing good work for those in need in the community. Church leaders are often surprised to find out how much of their time is spent managing staff and volunteers and handling personnel issues. This third course in the Duke Divinity+ Church Administration series is designed to enable clergy and lay leaders serving the church in congregational settings or in other church-related venues to develop healthy frameworks and practices for human resource management.
While as church leaders you rely first and foremost upon God to successfully perform your ministries, this work is accomplished through human resources—staff and volunteers. It is your responsibility, as one entrusted to minister in God’s name, to steward those human resources in the best manner possible.
In this course, you will connect human resource management to theological principles, and we will provide real-life examples and case studies of what to do and not do as a manager, all while learning the basics of human resource management in a church-related setting. If you are a pastor or ministry professional in need of Continuing Education Unit (CEU) credits for your professional development, CEU credits are available for this course. Please share your Coursera course certificate and a copy of the course description with your church denomination or employer as recognition of your earned 1.5 CEUs.
This course qualifies for 1.5 Continuing Education Unit (CEU) credits. Completion of all three courses in the “Church Administration: Human Resources” Specialization qualifies for a total of 4.5 CEU credits. This week, we will discuss how a church setting is a distinctive type of organization that requires sound human resource management. Coursera defines human resource management as “organizing, coordinating, and managing an organization’s current employees to carry out an organization’s mission, vision, and goals. This includes recruiting, hiring, training, compensating, retaining, and motivating employees.” We will explore how established secular principles of human resource management should apply to the church, and how scripture molds best practice into human resource stewardship, a distinctive theology of human resource management. 5 videos12 readings1 assignment4 discussion prompts This week will focus on the development of job descriptions for employees and volunteers, as well as the hiring process and background checks. 7 videos4 readings1 assignment1 discussion prompt This week will focus on performance evaluation, goals and objectives for employees, volunteer management, safe environment training, and misconduct and harassment prevention. 5 videos5 readings1 assignment1 discussion prompt This week will focus on having difficult conversations with employees, the benefits and detriments of the use of empathy in human resource stewardship in the church, adapting supervisory approaches to employes, and salary and benefit equity and salary compression. 6 videos8 readings1 assignment1 discussion prompt | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/human-resources-hr-church-theology | null |
6,209 | Decentralized Finance (DeFi) Primitives | 19,190 | 4.9 | 411 | Cam Harvey | Duke University | ['Address mechanics', 'Bonding curves', 'Consensus mechanisms', 'Flash loans', 'digital signature'] | DeFi and the Future of Finance is a set of four courses that focus on decentralized finance. The second course is called DeFi Primitives. It is recommended that you take the first course, DeFi Infrastructure, before this course. In this course, we talk about transaction mechanics and introduce both fungible and non-fungible tokens – or NFTs. The course explores the important issue of custody (holding private keys). The course then explores supply adjustment which includes the minting and burning of tokens. The mechanics of bonding curves are introduced. The course then explores the role of direct as well as indirect incentives in the DeFi system. We then analyze swaps or decentralized exchange. We begin by contrasting DEX with centralized exchange (e.g., Coinbase or Binance). The course details the mechanics of Automated Market Makers and provides a number of detailed examples. There is a discussion of impermanent loss as well as (legal) front-running. We end the course by exploring both collateralized and flash loans. The first module explores some key primitives such as how Ethereum transactions occur including the differences between externally owned accounts and contract accounts. We then explore fungible and non-fungible (NFT) tokens and miner extractable value. 3 videos1 reading1 assignment The second module focuses on supply adjustment (minting and burning), the atomic nature of transactions in Ethereum, as well as incentives. The concept of a keeper in the Ethereum ecosystem is introduced. 3 videos1 assignment The third module introduces decentralized exchange and explores in considerable detail Automated Market Makers. The module also introduces the idea of collateralized loans as well as uncollateralized flash loans. 5 videos1 assignment The final module shows step-by-step how to set up a MetaMask wallet allowing the student to join the world of DeFi. The second part of the module conducts a deep dive into some of the key blockchain concepts such as digital signatures and consensus mechanisms (including Proof of Stake). 7 videos1 assignment | 4 modules | Intermediate level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/decentralized-finance-primitives-duke | null |
6,210 | Managerial Accounting Fundamentals | 72,046 | 4.8 | 777 | Luann J. Lynch | University of Virginia | [] | This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. By the end of this course, you will be able to:
- Describe different types of costs and how they are represented graphically
- Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit
- Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems
- Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision
- Determine a reasonable course of action, given the financial impact, for a given management decision Welcome to the course -- we're glad you're here! During this first week, we'll distinguish managerial from financial accounting, including the financial and related information managers need to help them make decisions. We'll then move on to cost behavior including different types of costs, their classifications, and how these classifications help with decision-making. From there, we'll show how to use a scatterplot and the high-low method to estimate cost functions. Let's get started! 16 videos2 readings3 assignments1 discussion prompt Now that we've learned the fundamentals of cost behavior, we're ready to move on to discussing the relationships between cost structure, volume, price, and profit. We'll then see why these relationships matter as we conduct cost-volume-profit analyses to answer questions around breaking even and generating profit. 15 videos4 assignments1 peer review1 discussion prompt After learning how to conduct cost-volume-profit analyses, we're ready to discuss cost allocation and the different types of systems we can use: traditional and activity-based. From there, we'll learn how to calculate overhead rates and allocate overhead within both types of systems. 14 videos1 reading3 assignments In our final week, we'll discuss costs and benefits, and gain an understanding of those that are relevant for a given decision. We'll evaluate the financial impact of a given decision, then determine a reasonable course of action. 14 videos2 assignments | 4 modules | Beginner level | null | https://www.coursera.org/learn/uva-darden-managerial-accounting | 97% |
6,211 | Data Warehouse Fundamentals | 28,666 | 4.4 | 187 | Ramesh Sannareddy | IBM | ['Cubes', 'Data Warehousing', 'Snowflake Schemas', 'Data Lakes', 'Rollups', 'Data Marts', 'Star Schemas'] | Whether you’re an aspiring data engineer, data architect, business analyst, or data scientist, strong data warehousing skills are a must. With the hands-on experience and competencies, you gain on this course, your resume will catch the eye of employers and power up your career opportunities. A data warehouse centralizes and organizes data from disparate sources into a single repository, making it easier for data professionals to access, clean, and analyze integrated data efficiently.
This course teaches you how to design, deploy, load, manage, and query data warehouses, data marts, and data lakes. You’ll dive into designing, modeling, and implementing data warehouses, and explore data warehousing architectures like star and snowflake schemas. You’ll master techniques for populating data warehouses through ETL and ELT processes, and hone your skills in verifying and querying data, and utilizing concepts like cubes, rollups, and materialized views/tables.
Additionally, you’ll gain valuable practical experience working on hands-on labs, where you’ll apply your knowledge to real data warehousing tasks. You’ll work with repositories like PostgreSQL and IBM Db2, and complete a project that you can refer to in interviews. Welcome to your first module! This module provides an introduction to data warehouse systems, data lakes, and data marts. When you complete this module, you’ll be able to identify and compare data warehouse systems, data marts, and data lakes based on their architecture, and understand how organizations can benefit from each of these three data storage entities. Then, you’ll learn about three types of data warehouse systems and popular data warehouse system vendors. You will learn to help your organization assess new data warehouse system offerings when you know the five essential, critical criteria, including the total cost of ownership, to evaluate before changing to a new data warehouse system. 8 videos2 readings2 assignments2 plugins In this knowledge-packed module, you’ll explore general and reference enterprise data warehousing architecture. You’ll discover how data cubes relate to star schemas. Then, you’ll learn how to slice, dice, drill up or down, roll up, and pivot relative to data cubes. Next, you will examine the capabilities of materialized views, their benefits, and how to apply them. You’ll learn how a data organization using facts and dimensions and their related tables organizes information. Then, you will explore how to use normalization to create a snowflake schema as an extension of the star schema. You will also learn about populating a data warehouse, incremental data updates, verifying data, querying data, and interpreting an entity-relationship diagram for a star schema. Finally, the module will delve into the creation of a materialized view, the application of cube and rollup options, and examine the advantages organizations gain from implementing staging. 8 videos4 readings2 assignments5 app items In this module, you’ll complete your practice project and final course project, which bring together concepts and practices you previously learned in the first two modules. In the final project, you will design and load data into a data warehouse using facts and dimension tables. Then you’ll write aggregation queries using cube and rollup functions and create a materialized view. In the optional lesson, you will explore the workings of IBM Db2 data warehouse system architecture, view use cases, and understand the key capabilities and integrations available with IBM Db2 Warehouse. The hands-on labs in this lesson will enable you to gain practical knowledge on how to create a Db2 service instance, how to populate a data warehouse using IBM Db2, how to query the data warehouse using IBM Db2. 1 video5 readings1 assignment1 peer review5 app items5 plugins | 3 modules | Intermediate level | null | https://www.coursera.org/learn/data-warehouse-fundamentals | 86% |
6,212 | Introduction to English Common Law | 102,570 | 4.8 | 1,904 | Charlotte Crilly | University of London | [] | The common law of England and Wales is one of the major global legal traditions. This MOOC will give you an introduction to this influential legal system including its history, constitutional background, sources and institutions. You’ll learn about the different ways in which laws are made and interpreted, the English court system and the increasing importance of European Union and human rights law. Now is an especially exciting time to be learning about English common law, given the potential changes that lie ahead in today’s political, economic and social environment – all these pose challenges to and opportunities for the law.
Each week we’ll focus on one aspect of English common law, using video lectures, readings, discussion questions and activities to enable you to learn about and evaluate key issues. Whether undertaken as a standalone course, or as preparation for the University of London’s world-class LLB degree, you will find this course interesting and stimulating.
Please note that participation in or completion of this online course will not confer academic credit for University of London programmes. Welcome to the first week of the course. Week 1 is an overview of the English legal system. We will consider the history of the common law, and look at what it means to say that English law is a common law system. We will also explore some important themes in common law. 7 videos9 readings2 assignments4 discussion prompts Welcome to the second week of the course. This week will introduce you to the British Constitution and identify its sources. Week 2 will also look at the fundamental constitutional principles which underpin the English Legal System. 5 videos6 readings2 assignments5 discussion prompts Welcome to the third week of the course. This week we'll look at how the court system works in England. We'll think about different courts in the system, and also other methods of resolving legal disputes. 6 videos7 readings2 assignments5 discussion prompts Welcome to the fourth week of the course. This week will introduce you to statutes or Acts of Parliament, one of the most important sources of English law. Week 4 will cover how statutes are made and the different ways they are interpreted by the courts. You'll also consider whether statutes should be simplified. 6 videos5 readings3 assignments6 discussion prompts Welcome to the fifth week of the course. This week we'll explore another key source of English law, case law. You'll be introduced to the doctrine of judicial precedent and the question of judges as law-makers. You'll have the opportunity to read a case yourself and write a case-note. 5 videos3 readings1 assignment5 discussion prompts Welcome to the sixth and final week of the course. This week will introduce you to the European Union and to the European Convention on Human Rights. Week 6 will also consider the impact of the Human Rights Act 1998 on the English Legal System. Although the UK is no longer a member of the European Union and EU law does not have the same impact on English law as it did previously, it will almost certainly contain to exert an influence for some time. It is also interesting to consider the previous effect of EU law on English law, and the relationship to the doctrine of parliamentary sovereignty. 10 videos9 readings3 assignments1 peer review4 discussion prompts | 6 modules | Beginner level | null | https://www.coursera.org/learn/intro-common-law | 96% |
6,213 | Cybersecurity and Its Ten Domains | 179,943 | 4.4 | 2,394 | Dr. Humayun Zafar, CEH, CISM, CRISC, PCIP | Kennesaw State University | ['Cybersecurity', 'Cryptography', 'Information Security (INFOSEC)', 'Cyber-Security Regulation'] | This course is designed to introduce students, working professionals and the community to the exciting field of cybersecurity. Throughout the MOOC, participants will engage in community discourse and online interaction. Participants will gain knowledge and understanding of cybersecurity and its domains. They will engage with expertly produced videos, gain insight from industry experts, participate in knowledge assessments, practice assessing their environmental awareness, and gain access to materials that address governance and risk management, compliance, business continuity and disaster recovery, cryptography, software development security, access control, network security, security architecture, security operations, and physical and environmental security. Learning will be assessed using strategies aligned to knowledge and understanding. You do not need prior experience in IT security to do well in this course. All you need is a willingness to learn. We will point you to relevant open and free resources to assist you.
At the end of this course, you will have the option of applying for undergraduate level course credit at Kennesaw State University (dependent on admission to Kennesaw State University as a degree seeking or a non-degree seeking student). More information is available in final module "Receive Course (undergraduate) Credit at Kennesaw State University". Checkout our marquee speaker. She's the Chief Privacy Officer at Coca Cola. 2 videos4 readings1 assignment In this module we cover some of the fundamentals of security that will assist you throughout the course. We will then introduce you to two domains of cyber security: access control and software development security. Focus will be on areas such as confidentiality, integrity, and availability, as well secure software development techniques. 4 videos1 reading1 assignment1 peer review In this module we are going to delve a little deeper into cyber security by covering business continuity and disaster recovery planning and cryptography. Learners will be exposed to what a disruptive event is and how the federal government through agencies such as FEMA handles disasters. We will also covers encryption and decryption and the various techniques used. 3 videos1 reading1 assignment In this module we are going to cover some of the non-technical topics associated to cyber security: Information security governance and risk management and legal, regulations, investigations, and compliance. It is important to realize, that non-technical does not mean easy, or not important. In fact, I would like to argue that they are more important that the technical side of cyber security. 3 videos1 reading1 assignment In this module we are going to cover what amount to some of the more intuitive parts of cybersecurity: operations security and physical and environmental security. Learners will understand operations security from a competitor/enemy/hacker’s viewpoint and then develop and apply countermeasures accordingly. Learners will also be exposed to electric power issues such as brownouts, fire detection and suppression, and HVAC. 3 videos1 reading1 assignment In this module we are going to cover some of the most technical and comprehensive topics that cyber security has to offer as we look at Security Architecture and Design and Telecommunications and Network Security. Learners will be exposed to security models such as Bell LaPadula, Clark-Wilson, Mandatory Access Control (MAC), Discretionary Access Control (DAC), Role-Based Access Control (RBAC), and Access Matrix. We will also describe the Open Systems Interconnect (OSI) model and its seven layers. 3 videos2 readings2 assignments In this module we provide details about leveraging this MOOC for credit at the undergraduate level at Kennesaw State University. It is very important that learners follow directions carefully. 1 reading | 7 modules | Beginner level | null | https://www.coursera.org/learn/cyber-security-domain | 96% |
6,214 | Modern Data Warehouse Analytics in Microsoft Azure | 11,458 | 4.5 | 100 | Microsoft | Microsoft | ['Microsoft Azure', 'Data Visualization Software', 'Analytics', 'Data Warehousing', 'Data Visualization'] | In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. This is the fourth course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals. so that you can demonstrate that you have a foundational knowledge of the core database concepts in a cloud environment.
This course is ideal for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure with a view to taking up roles as Data Engineers and Database Administrators. It is also suitable for working database professionals looking for additional skills or credentials to showcase expertise in a cloud environment and IT professionals looking to specialize in the specific area of Azure data.
To be successful in this course, you need to have basic computer literacy and proficiency in the English language. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data. It is an advantage to have experience using a web browser, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet, and visualizing data using charts. In this module, you will examine the components of a modern data warehouse. Understand the role of services like Azure Databricks, Azure Synapse Analytics, and Azure HDInsight. See how to use Azure Synapse Analytics to load and process data. You will explore the different data ingestion options available when building a data warehouse, and see how to use Azure Data Factory to ingest data. You will also explore Azure services for performing data analytics. 14 videos4 readings4 quizzes1 discussion prompt1 plugin In this module, you will learn what Power BI is, including its building blocks and how they work together. 5 videos1 reading2 quizzes1 discussion prompt | 2 modules | Beginner level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/data-warehouse-analytics-microsoft-azure | null |
6,215 | English for Business B1 | Enrollment number not found | Rating not found | null | Ruth Kerr | Università di Napoli Federico II | ['Presentation Skills', 'Making small talk', 'Writing emails and reports', 'Business Skills', 'Presentation skills', 'Describing results and trends', 'Business skills'] | An essentially practical course to acquire specific skills for the English-speaking workplace. The learning approach is one of learning by doing, and learners carry out a series of real-life tasks and interactive exercises to gain experience and competence in writing emails, messages and reports, negotiation, job-hunting, presenting products and services. By the end of this week you will be able to read and understand how to look for a job effectively, describe your qualifications and competences and prepare your CV, and prepare to answer and ask questions appropriately in a job interview. 3 videos6 readings12 assignments4 discussion prompts By the end of this week you will be able to prepare, and present effectively, the relevant content, and some basic slides or materials, to introduce yourself, your company and your company’s products or services. 3 videos9 readings10 assignments3 discussion prompts By the end of this week you will be able to read and respond effectively to a variety of internal company communications, write a basic report on company results, and handle external email communications. 4 videos8 readings10 assignments4 discussion prompts This week you will study and practice a variety of communication tasks that are useful when attending an international conference. These include leaving phone messages, making small talk, arranging meetings and participating in discussions and decision-making. 4 videos11 readings9 assignments By the end of this week you will have the language to understand and talk about effective practices in the workplace like promoting employee well-being and happiness, and encouraging effective collaboration and teamwork. You will also learn and apply the language to describe charts and graphs. 4 videos8 readings9 assignments4 discussion prompts | 5 modules | Intermediate level | 16 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/english-business-b1 | null |
6,216 | IBM Full-Stack JavaScript Developer Professional Certificate | 13,110 | 4.7 | 423 | IBM Skills Network Team | IBM | ['Full-Stack Development', 'Azure DevOps', 'javascript library', 'JavaScript', 'React', 'Node'] | Prepare for a career in the high-growth field of full-stack development. In this program, you’ll learn skills like React, JavaScript, and Node to get job-ready in less than 4 months, with no prior experience needed to get started.. A full-stack JavaScript developer is responsible for both the front-end (client-side) and back-end (server side) development of web applications. In this program, you’ll learn to build, deploy, test, run, and manage cloud-native full-stack applications. Technologies covered includeHTML, CSS, GitHub, JavaScript, Node.js, Express, React, DevOps, Containers, Docker, Kubernetes, NoSQL databases, Microservices, Serverless computing, and more. You’ll alsodevelop several applications using front-end and back-end technologiesand deploy them using cloud-native methodologies. In the final course, you learn inside tips and steps to perform effectively at interviews andunlock exclusive access to career support resourcesto help you in your job search. Upon completing the full program, you will have a portfolio of projects that will not only boost your confidence but also prepare you to excel in interviews. Additionally, you will be awarded a Professional Certificate and a badge from IBM, serving as tangible proof of your skills and proficiency to potential employers. Applied Learning Project Throughout the professional certificate, you have ample opportunities to apply skills learned through labs and projects. Projects include: Developing a personal portfolio website to showcase your HTML, CSS, and JavaScript skills Creating and sharing open-source projects on GitHub Crafting a travel recommendation website using JavaScript APIs that align with your users’ preferences Designing and coding the front-end of a budget allocation application using React Writing a server-side application that stores, retrieves, and manages book ratings and reviews with Node.js and Express framework Building and deploying a multitier guestbook with rolling updates using Openshift image streams Developing a front-end React application and integrating its API endpoints with a back-end service that uses MongoDB Preparing your full-stack developer resume and portfolio Describe software engineering, Software Development Lifecycle (SDLC), and software development tools, technologies and stacks. List different types of programming languages and create basic programming constructs such as loops and conditions using Python. Outline approaches to application architecture and design, patterns, and deployment architectures. Summarize the skills required in software engineering and describe the career options it provides. Describe the Web Application Development Ecosystem and terminology like front-end developer, back-end, server-side, and full stack. Identify the developer tools and integrated development environments (IDEs) used by web developers. Create and structure basic web pages using HTML and style them with CSS. Develop dynamic web pages with interactive features using JavaScript. Describe version control and its place in social and collaborative coding and in DevOps. Explain basic Git concepts such as repositories and branches used for distributed version control and social coding. Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project. Build your portfolio by creating and sharing an open-source project on GitHub. Describe JavaScript development concepts, list ES6 features, outline data structures, and explore arrays, DOM, AJAX, and debugging techniques. Explore handling errors and exceptions, functions and events, apply string manipulation and error-handing techniques, and traverse the DOM. Compare functions, values, reference types, and strategies in promises and async/await, and discuss modifying the appearance of DOM elements. Employ JavaScript functions, services, tools, and libraries to create and style navigation and pages, and AJAX to fetch and display data from APIs. Develop interactive user interfaces (UIs) and web applications using JavaScript technologies including React, JSX, and ES6. Build dynamic front-end applications quickly and easily with reusable React components. Employ various React concepts and features, including props, states, hooks, forms, and Redux. Demonstrate your React skills by building several front-end applications such as a shopping cart. Create server-side applications using the Node.js JavaScript run time. Extend your Node.js applications with third-party packages and frameworks, including Express. Use npm to manage Node.js packages in your Node.js application. Develop asynchronous callback functions and promises to complete asynchronous operations. Explore cloud native applications concepts and methodologies, recognize CNCF’s impact, and analyse the benefits of CI/CD, Agile, and Scrum. Recognize the DevOps culture, and its significance, differentiate between TDD and BDD, and explore the principles and characteristics of MongoDB. Implement CI/CD practices and connect and integrate user stories using Zenhub to facilitate the Agile development process. Enhance application functionality using tools and techniques, store, manage, and perform basic data operations using MongoDB and CRUD operations. Using containers, learn how to move applications quickly across any environment. Build cloud native applications using Docker, Kubernetes, OpenShift, and Istio. Describe and leverage Kubernetes architecture to set up and use an entire lifecycle-based container management system. Create and leverage a YAML deployment file to configure and create resources such as pods, services, replicasets, and others in a declarative way. Summarize the fundamentals of Microservices, their advantages, and contrast with monolithic architectures. Create REST API endpoints and invoke them using cURL and Postman; Use SwaggerUI to document and test APIs. Create, and deploy microservices using Docker containers and serverless technologies like IBM Code Engine. Practice hands-on with labs and projects using a no-charge cloud-based environment. Implement fundamental back-end development concepts with Node, Express, and NoSQL databases Develop secure RESTful APIs using Node and Express to communicate with databases Apply authentication and authorization mechanisms and implement error handling Scale and deploy Node database applications on a cloud platform Integrate and apply your JavaScript, React, Node.js, Express, and MongoDB skills Build a real-world web application using front-end and back-end technologies Deploy your full-stack web application on the cloud using containers and serverless Apply DevOps and Agile practices by employing CI/CD pipelines and developing user stories Describe the role of a software engineer and some career path options as well as the prospective opportunities in the field. Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work. Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews. Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation. | 12 course series | Beginner level | 4 months (at 10 hours a week) | https://www.coursera.org/professional-certificates/ibm-full-stack-javascript-developer | null |
6,217 | Introduction to Data Networks and the Internet - Master's | Enrollment number not found | Rating not found | null | Philip Matuszak | Illinois Tech | ['Protocol Implementation', 'Network Monitoring and Security', 'Networking communication'] | This course covers current and evolving data network technologies, protocols, network components, and the networks that use them, focusing on communication to and from the Internet and Local area networks. Course content includes Internet architecture, organization, and protocols including Ethernet, 802.11, routing, switching, OSI and TCP models, DNS, SNMP, DHCP, and more. Students will be presented with Internet-specific networking tools for searching, testing, debugging, and configuring networks and network-connected host computers. At the graduate level, students will be given real-world examples, with best practice and business use cases as related to the content on hand, as well as threats and mitigation steps. Upon successful completion of this course, you will be able to:
- Introduce communication fundamentals as they relate to popular communication models such as the TCP and OSI models.
- Provide an understanding of the distributed nature of the internet.
- Discuss the requirements for communication between local area networks and internet.
- Identify and define protocols needed for LAN and WAN communication.
- Learn the basics of analyzing, inspecting, and monitoring network traffic.
- Become aware of threats to networks and networked devices.
- Utilize tools for doing basic network reconnaissance. Welcome to Introduction to Data Networks and the Internet! In this course, we will cover the topics of: Introduction to Network Concepts; OSI, TCP, and Network Addressing; Network Installation and Configuration; Network Management; Network Security Concepts; Network Analysis; Network Troubleshooting; Software Defined Networks and the Cloud. In the ever-evolving landscape of technology, computer networks have become the backbone of modern communication and information exchange. Understanding the fundamentals of networking is essential for anyone seeking to navigate the digital world effectively. In this introduction, we will explore their interplay in creating robust, efficient, and reliable networks that underpin our interconnected world. 6 videos5 readings3 assignments1 discussion prompt In the vast realm of computer networking, understanding the fundamental principles and models is paramount for anyone delving into the world of data transmission and communication. In this module, we will embark on a journey to unravel the intricacies of networking through the lens of two crucial models: the OSI (Open Systems Interconnection) model and the TCP (Transmission Control Protocol) model. These models serve as the backbone for comprehending the architecture and functioning of modern computer networks. Additionally, this module is designed to equip you with a foundational understanding of networking models, switching, and routing. These concepts are indispensable for anyone aspiring to navigate the intricate world of computer networks and contribute to the seamless flow of data in our interconnected digital age. 5 videos2 readings2 assignments The establishment and maintenance of robust and efficient networks are fundamental to the success of organizations and businesses. To embark on this journey, it is essential to first understand the foundational aspects of network installation and configuration. This introduction serves as a gateway to explore the objectives outlined in module 3, which encompass the essential elements of network setup and management. Whether you are a seasoned IT professional or a newcomer to the world of networking, this module will serve as a valuable resource to enhance your skills and knowledge in this dynamic field. 6 videos2 readings2 assignments In this module, we will embark on a journey to explore fundamental concepts and practices that are integral to effective network management. It will provide you with an overview of the key concepts and principles that form the foundation of network management, setting the stage for your journey into this dynamic field. 4 videos2 readings2 assignments Throughout this module, we will equip you with the knowledge and insights necessary to build a solid foundation in network security. By the end, you will be better prepared to navigate the complex world of networked systems security and protect the digital assets entrusted to you. 5 videos2 readings2 assignments The importance of effectively monitoring network traffic cannot be overstated. It serves as the foundation for robust cybersecurity practices, network performance optimization, and troubleshooting. By the end of this module, you will have gained valuable insights into the 'what' and 'why' of network traffic monitoring, as well as a practical understanding of how to capture and log network traffic effectively, utilizing a diverse range of tools and formats. These insights will be instrumental in ensuring the security and efficiency of your network infrastructure. 4 videos2 readings2 assignments In today's interconnected world, computer networks serve as the backbone of modern communication and information exchange. Whether in the context of a home network or a vast corporate infrastructure, maintaining the functionality and reliability of these networks is of paramount importance. However, as with any complex system, network issues can arise, disrupting connectivity and productivity. To effectively address these challenges, network professionals must possess a fundamental understanding of troubleshooting methodologies, diagnostic tools, and common causes of network-related issues. This module serves as a gateway to explore these essential aspects of network troubleshooting and problem-solving. 4 videos2 readings2 assignments The realm of networking has witnessed a transformative revolution. As organizations seek more agile, flexible, and scalable networking solutions to meet their ever-growing demands, concepts such as Software-Defined Networking (SDN), the integration of networking in cloud-based solutions, and the emergence of virtual networking devices have come to the forefront. In this module, we will gain a deeper understanding of the dynamic and ever-evolving landscape of networking, offering insights into how these concepts are shaping the future of connectivity and information exchange in our increasingly interconnected world. So, let's explore where the virtual meets the physical, and traditional networking gives way to the innovation and flexibility of the digital age. 4 videos2 readings1 assignment 1 assignment | 9 modules | Beginner level | 63 hours to complete (3 weeks at 21 hours a week) | https://www.coursera.org/learn/illinois-tech-introduction-to-data-networks-and-the-internet-mit | null |
6,218 | Getting started with TensorFlow 2 | 36,885 | 4.9 | 568 | Dr Kevin Webster | Imperial College London | [] | Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models.
You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills.
At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop an image classifier deep learning model from scratch.
Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of Tensorflow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. This course is intended for both users who are completely new to Tensorflow, as well as users with experience in Tensorflow 1.x.
The prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP/feedforward and convolutional neural networks), activation functions, output layers, and optimisation. TensorFlow is one of the most popular libraries for deep learning, and it’s widely used today amongst researchers and professionals at all levels. In this week, you will get started with using TensorFlow on the Coursera platform and familiarise yourself with the course structure. You will also learn about some helpful resources when developing deep learning models in TensorFlow, including Google Colab. This week is really about getting everything set up, ready for diving into TensorFlow in the following week of the course. 14 videos8 readings1 discussion prompt1 ungraded lab1 plugin There are multiple ways to build and apply deep learning models in TensorFlow, from high-level, quick and easy-to-use APIs, to low-level operations. In this week you will learn to use the high-level Keras API for quickly building, training, evaluating and predicting from deep learning models. The programming assignment for this week will give you the opportunity to put all this into practice and develop an image classification model from scratch on the MNIST dataset of handwritten images. 13 videos2 assignments1 programming assignment8 ungraded labs Model validation and selection is an essential part of developing any machine learning model development to help prevent overfitting and improve generalisation. In this week you will learn how to use a validation dataset in a training run and apply regularisation techniques to your model. You will also learn how to use callbacks to monitor performance and perform actions according to specified criteria. In the programming assignment for this week you will put model validation and regularisation into practice on the well-known Iris dataset. 11 videos1 assignment1 programming assignment8 ungraded labs As part of your deep learning model development, you will need to be able to save and load TensorFlow models, possibly according to certain criteria you want to specify. In this week you will learn how to use callbacks to save models, manual saving and loading, and options that are available when saving models, including saving weights only. In addition, you will practice loading and using pre-trained deep learning models. In the programming assignment for this week you will write flexible model saving and loading implementations for a model trained on satellite images. 12 videos1 programming assignment8 ungraded labs In this course you have learned an end-to-end workflow for developing deep learning models in Tensorflow. The Capstone Project gives you the opportunity to bring all of your knowledge together to develop a deep learning classifier on a labelled image dataset of street view house numbers. 2 videos1 peer review1 ungraded lab1 plugin | 5 modules | Intermediate level | null | https://www.coursera.org/learn/getting-started-with-tensor-flow2 | 96% |
6,219 | Conceptual Planning of Bridges | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['Ability to apply different bridge analysis methods, including hand computation methods and grillage analysis, through practical examples'] | This bridge engineering course equips you to transform bridge concepts into reality. It explores bridge types and their suitability for various applications. You'll delve into bridge history, appreciating how past designs influence modern practices. The course emphasizes the roles of bridge components: the superstructure and the substructure in ensuring stability and functionality. Moving forward, you'll explore conceptual bridge design. This involves analyzing the landscape where the bridge will be built, considering factors like soil conditions, traffic flow, and environmental impact. Conducting thorough investigations is crucial to ensure the bridge can withstand the elements. The course also explores how aesthetics play a role in bridge design.
Bridges are designed to endure various forces. The course explores design considerations for dead load, live load, wind, temperature changes, water currents, and even potential accidents. By the end, you'll be able to design bridges strong enough to handle these forces.
The final leg of the course delves into the engineering calculations that ensure a bridge's structural integrity. You'll be introduced to analysis methods like traditional hand calculations and advanced computer software. Techniques like grillage analysis will be explored. This equips you to analyze and design bridges that can withstand everyday use.
By completing this course, you'll gain a comprehensive understanding of the entire bridge-building process, from concept to analysis. This knowledge is valuable for careers in bridge engineering, construction, or any field where understanding structures is important. Delve into the world of bridge engineering in this introductory module! We'll explore the history of bridges, how they're classified by material, form, use, and more. We'll break down the key components that make up a bridge, from its main structure to its safety features. By the end, you'll have the ability to identify the different components and types of bridges. 12 videos1 assignment We'll delve into the intricate process of bringing a bridge from concept to reality. We'll explore the planning stages, analyzing factors like site characteristics, traffic flow, and environmental impact. Detailed investigations into soil conditions, water currents, and wind conditions ensure a safe and durable structure. Then, we'll dive into the design phase, considering bridge type, functionality, and even aesthetics. Finally, we'll cover the meticulous execution process, from construction planning to testing and commissioning. By the end of this module, you'll be able to explain the journey a bridge takes in the stage of planning. 9 videos1 assignment Dive into the world of bridge design by understanding the forces they have to withstand! The module explores various types of loads, from permanent loads to dynamic loads. We'll analyze how these loads are combined for design purposes, following IRC guidelines. You'll learn about specific loads for highway, railway, and pedestrian bridges, including construction phase considerations. Thermal effects, water current forces, and accidental impacts are factored in. By the end, you'll be equipped to design bridges that can handle the full spectrum of forces they'll encounter throughout their lifespan. 17 videos1 assignment We'll delve into the calculations that ensure a bridge's strength. We'll explore various analysis methods, from traditional hand calculations like Pigeaud's method for slabs to advanced computer-aided tools like Finite Element Analysis (FEM). You'll learn about grillage analysis, which breaks down a bridge deck into a network of beams to understand load distribution. We'll also tackle examples using grillage analysis for different bridge configurations like slab bridges and slab & beam bridges. By the end, you'll possess a strong foundation for analyzing and designing bridges that can withstand various stresses and strains. 8 videos1 assignment | 4 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/conceptual-planning-of-bridges | null |
6,220 | Fashion as Design | 273,024 | 4.8 | 2,880 | Paola Antonelli | The Museum of Modern Art | ['Art History', 'Art', 'History', 'Creativity'] | Fashion as Design focuses on a selection of garments and accessories from around the world, ranging from kente cloth and denim to turtlenecks, swimwear, and 3D-printed dresses. Through these garments, you’ll take a closer look at what we wear, why we wear it, how it’s made, and what it means. Hear directly from a range of designers, makers, historians, and others working with clothing every day—and, in some cases, reinventing it for the future. Studio visits, interviews, and other resources introduce the history and development of each garment and their changing uses, meanings, and impact over time. 1 video4 readings2 discussion prompts Wearing certain garments can inspire heroic transformations, while heroes can elevate everyday clothing to iconic status. In this module, you will discover the relationship between aspiration, achievement, adulation, and attire through a wide range of heroes—and even imagine yourself as a space hero in the future. 7 videos8 readings1 assignment2 discussion prompts When we put on clothes, we change the shape and outline of our bodies—sometimes profoundly. The silhouettes we adopt are determined by everything from shifting trends in fashion to what looks and feels good. This week, we explore how clothes shape the body and how cultural constructions of the body shape clothes. 7 videos7 readings1 assignment2 discussion prompts The French word couture means "dressmaking" or "sewing,” and often refers to one-of-a-kind, primarily handmade garments intended for a specific individual. This module approaches couture from a broader perspective, exploring the complex processes—from traditional handcrafting to the use of new technologies—that go into the making of high-end and everyday garments. 6 videos7 readings1 assignment2 discussion prompts This module examines the lifecycle of garments, an often overlooked aspect of fashion that many individuals and companies are addressing with growing urgency. How do garments begin, how do they end, and how does the cycle of production, consumption, and disposal impact the world? 9 videos7 readings1 assignment3 discussion prompts Modesty has many varied expressions that can be informed by social, religious, or political identifications, as well as by personal choice. But whether covered up or exposed, our bodies are often battlegrounds for continually shifting societal claims around morality, agency, and etiquette. 4 videos8 readings1 assignment2 discussion prompts What we wear and how we wear it can communicate messages, create group identification, borrow and remake existing styles, or subvert a garment’s traditional associations. While choosing and wearing clothes is an act of personal expression, it is also a response to many of the topics addressed in the preceding weeks of this course. In this final week, we look at the ways in which clothing allows us to feel connected to others and to stand out. 8 videos11 readings1 assignment1 peer review1 discussion prompt | 7 modules | Beginner level | null | https://www.coursera.org/learn/fashion-design | 98% |
6,221 | Strategies for Heavy Lifting Specialization | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['Ensure safe crane operations by understanding safety requirements, load testing, inspection procedures, and personal protective equipment (PPE), along with mastering crane signals and hazard mitigation strategies.'] | The specialization “Strategies for Heavy Lifting” consists of three courses: "Concepts of Heavy Lifting" "Machineries for Heavy Lifting and Design of Lifting Elements" and "Planning and Execution of Heavy Lifting." It provides a thorough exploration of heavy lifting techniques and rigging operations crucial in engineering. The program starts with basic engineering principles and advances to machinery and sector-specific applications, including power, hydrocarbon and construction industries. Key topics include force handling, friction mechanics, mechanical advantage, lifting gears, hydraulic systems and practical applications such as sky bridge installations. Further modules cover winches, pulley blocks, crane operations, oversized cargo handling and structural design principles. The course also includes feasibility studies, crane chart interpretation, rigging planning and advanced construction methods. Emphasizing practical skills and safety protocols, this specialization prepares learners for effective and safe project execution in industrial settings. Target Learners: - Undergraduate and Post-Graduate students in Civil and Mechanical Engineering - Practicing engineers involved in heavy lifting - Faculty in Civil and Mechanical Engineering - Professionals and project managers in the construction industry Prerequisites: - Basics of Civil Engineering, Mechanical Engineering, Engineering Mechanics - Understanding of Construction Techniques Applied Learning Project Learners will acquire the skills to apply strategies for heavy lifting on construction projects. This specialization offers an in-depth study of heavy lifting and rigging operations crucial in engineering, covering fundamental concepts, advanced machinery, and industry-specific applications. It includes force handling, lifting gear mechanics, hydraulic systems, crane operations, and structural design, emphasizing practical skills, safety protocols, and effective project execution in industrial settings. Learn the evolution, engineering principles, and applications of heavy lifting machinery in power, hydrocarbon, and construction industries. Master force handling, friction mechanics, and load estimation with practical case studies and real-world scenarios like sky bridge installations. Become proficient in using shackles, slings, spreaders, hydraulic systems, and jacks for efficient and safe heavy lifting operations. Acquire skills in using winches, pulleys, and crane operations, focusing on tower cranes and safety practices. Master logistics for oversized cargos using trailers, multi-axle systems, and SPMTs, optimizing transport efficiency and safety. Understand safety practices for lifting operations and apply skills to real-world engineering challenges for safe and efficient solutions. Conduct feasibility studies, interpret crane charts, and prepare detailed rigging charts for diverse engineering projects. Learn modularization, pre-fabrication, and push launching to optimize project efficiency and effectiveness. Understand crane operations, safety practices, and protocols to ensure safe and efficient lifting in engineering projects. | 3 course series | Advanced level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/strategies-for-heavy-lifting | null |
6,222 | Containerized Applications on AWS | 24,059 | 4.6 | 162 | Morgan Willis | Amazon Web Services | ['App Runner', 'Microservices', 'Kubernetes', 'Containers', 'Amazon Elastic Container Registry'] | This course introduces you to container technologies and how they can be used to modernize your applications, as well as exploring how different AWS services can be used to manage and orchestrate those containers. Container technologies have existed for years, and are still gaining popularity. Two of the most prevalent options are Docker and Kubernetes - each with its own distinct set of features. Regardless of which technology you choose, one of the biggest challenges with containers is their orchestration. Unlike traditional, monolithic applications where you can only scale at a macro level - an executable, for example - containerized applications scale at the container level. When coupled with a microservices approach, each container can contain the code necessary to execute a single task or function. While this provides a number of benefits, a single application can consist of hundreds of containerized microservices. How do you handle starting, stopping, scaling out and scaling in all of these containers?
AWS offers a number of services that help with container orchestration, including Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), Amazon Lightsail, and Amazon Elastic Container Registry (ECR). Throughout this course, expert instructors will dive deep into these services as well as general container technologies and capabilities.
This course uses a combination of video-based lectures, delivered by AWS technical trainers, demonstrations, and hands-on lab exercises to enable you to deploy and manage a containerized application. In week 1 of this course, you will learn about what containers are, their use cases, and how to build a container. Then, you will explore how to host a container on AWS by using the services Amazon Elastic Container Registry (Amazon ECR) and AWS App Runner. 11 videos9 readings1 assignment2 plugins In week 2 of the course, you will learn about multi-container deployments. Then, you will learn about Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. 15 videos9 readings1 assignment In week 3 of this course, you will explore the basic concepts behind Kubernetes and Amazon Elastic Kubernetes Service (Amazon EKS). You will also see a demonstration that uses Amazon EKS to deploy a multi-container application. 10 videos5 readings1 assignment In week 4 of this course, you will explore other container-related services, such as Amazon CloudWatch Container Insights and AWS Lambda. 8 videos5 readings2 assignments1 plugin | 4 modules | Beginner level | null | https://www.coursera.org/learn/containerized-applications-on-aws | 94% |
6,223 | Getting started in cryo-EM | 23,522 | 4.9 | 270 | Grant J. Jensen | Caltech | [] | This class covers the fundamental principles underlying cryo-electron microscopy (cryo-EM) starting with the basic anatomy of electron microscopes, an introduction to Fourier transforms, and the principles of image formation. Building upon that foundation, the class then covers the sample preparation issues, data collection strategies, and basic image processing workflows for all 3 basic modalities of modern cryo-EM: tomography, single particle analysis, and 2-D crystallography. Philosophy:
The course emphasizes concepts rather than mathematical details, taught through numerous drawings and example images. It is meant for anyone interested in the burgeoning fields of cryo-EM and 3-D EM, including cell biologists or molecular biologists without extensive training in mathematics or imaging physics and practicing electron microscopists who want to broaden their understanding of the field. The class is perfect as a primer for anyone who is about to be trained as a cryo-electron microscopist, or for anyone who needs an introduction to the field to be able to understand the literature or the talks and conversations they will hear at cryo-EM meetings.
Pre-requisites:
The recommended prerequisites are college-freshman-level math, physics, and biochemistry.
Pace:
There are 14.5 hours of lecture videos total separated into 40 individual “modules” lasting on average 20 minutes each. Each module has at the end a list of “concept check” questions you can use to test your knowledge of what was presented. As the modules are grouped into seven major subjects, one reasonable plan would be to go through one major subject each day. That would mean watching a couple hours of lecture and spending another hour or so thinking through the concept check questions each day for a week. Another reasonable plan would be to go through one module each day for a little over a month, or even three modules a week (Monday, Wednesday, and Friday) for a 3-month term.
It is likely that as you then move on to actually begin using a cryo-EM or otherwise engage in the field, you will want to repeat certain modules. Welcome to the course! 3 videos3 readings 9 videos8 readings 7 videos6 readings 7 videos6 readings 6 videos5 readings 5 videos6 readings 5 videos5 readings 5 videos4 readings | 8 modules | null | 21 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/cryo-em | 99% |
6,224 | Intro to Managing Healthcare Supply Chain Operations | 1,537 | 4.9 | 10 | Gilbert Nyaga | Northeastern University | ['Project Management', 'Operations Management', 'Quality Assessment', 'Supply Chain', 'Process Analysis'] | This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course. In this course, you will have an opportunity to explore concepts and topics related to the design and management of operations and supply chains in the healthcare sector.
After an introduction to operations and supply chain management, you will examine the different dimensions and principles of quality and reflect on approaches to operational process improvement. Throughout this course, you will be given the opportunity to apply the course concepts to an operational process improvement project. The Covid-19 pandemic brought about many supply chain challenges including material shortages, labor shortages, and capacity limitations. This highlights the need to understand and effectively manage supply chain operations. In this module we’ll focus on the definition of operations and supply chain management, the continuum of care, and other factors driving healthcare. You’ll explore the key challenges in healthcare supply chains, and examine why healthcare providers need to pay greater attention to these crucial areas of their operations. 8 videos10 readings7 assignments2 discussion prompts In many healthcare organizations, the design and management of operations processes is not clear. As a result, there are many activities done that do not necessarily add value to the process and ultimately hinder effective care delivery. In this module, the idea of process thinking is emphasized. Process thinking is a way of viewing activities in an organization as a collection of processes and that the outcome is a result of the process. To improve outcomes, you have to address the steps in the process. 6 videos7 readings7 assignments2 peer reviews1 discussion prompt Quality is an important consideration in healthcare by customers or patients, organizations, and government agencies. It has many dimensions depending on who is defining it. For example, a patient’s experience at a hospital’s waiting room will influence their perception of the quality of care received at that facility. At the same time, if they do not get well after treatment, they may perceive the treatment received and the provider as of low quality. In this module, you will examine the concept of quality and quality management in healthcare. 3 videos5 readings5 assignments1 discussion prompt Building upon the concept of quality as it was explored in the previous module, this module will now define quality in terms of waste management and quality control. Toyota Production Systems originally outlined seven lean wastes that occur in operational processes. Now, you will learn more about Lean principles, controlling waste in the healthcare setting, and how to improvement approaches to managing waste and improving quality within the organization. 4 videos6 readings4 assignments1 peer review | 4 modules | Beginner level | 17 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/intro-to-managing-healthcare-supply-chain-operations | null |
6,225 | Egypt before and after pharaohs. | 7,045 | 4.5 | 144 | Paola Buzi | Sapienza University of Rome | [] | History of Ancient Egypt. Before and after the Pharaohs: From the birth of the State (c. 3000 BCE) to the early Christian communities (4th century CE). This module aims to briefly analyze Egyptian history from the birth of the State to the Old Kingdom 2 videos2 assignments This module aims to briefly analyze Egyptian history from the Middle Kingdom to the New Kingdom 2 videos2 assignments This module aims to briefly analyze Egyptian history from during the Late Period and the discovery of Tutankhamun’s tomb 2 videos2 assignments This module aims to briefly analyze Egyptian history from Alexander the Great to the early Christian communities of Late Antiquity 3 videos2 assignments | 4 modules | Beginner level | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/egypt-sapienza | null |
6,226 | Kubernetes Fundamentals | Enrollment number not found | Rating not found | null | LearnKartS | LearnKartS | ['Scaling Applications', 'Kubernetes Architecture', 'Kubernetes', 'Pods and container'] | Welcome to the Kubernetes Fundamentals course! The course aligns with the Certified Kubernetes Application Developer certification exam preparation.
This course will provide you with the skills and knowledge necessary to effectively use Kubernetes, thereby enhancing your ability to deploy, manage, and scale containerized applications in a professional setting.
The course is specifically designed for developers, software engineers, and DevOps professionals who work with Kubernetes and want to showcase their skills in deploying and managing applications
This course needs a good understanding of Linux and a comprehensive knowledge of Kubernetes and container concepts.
By the end of this course, you will be able to:
- Understand the core principles of Kubernetes architecture, including master and node components.
- Learn various deployment strategies using pods and containers, including YAML configuration and imperative management techniques.
- Explore Kubernetes networking concepts and services and configure networking policies.
- Gain proficiency in managing storage resources in Kubernetes environments.
This course contains engaging videos, readings, and knowledge checks for a high-quality learning experience. This module covers Kubernetes fundamentals, including its architecture and the relationship between Kubernetes and containers. By the end of this module, learners will grasp Kubernetes basics, facilitating efficient deployment and management of containerized applications through orchestration. 12 videos4 readings4 assignments1 discussion prompt This module covers Kubernetes configuration and management, including YAML, pod, deployment, and replica set management, as well as networking, service, and storage management. By the end of this module, the learners will configure and manage Kubernetes objects effectively. 13 videos2 readings4 assignments1 discussion prompt | 2 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/certified-kubernetes-application-developer-kubernetes-fundamentals | null |
6,227 | Statistical Modeling for Data Science Applications Specialization | 4,675 | 4.3 | 36 | Brian Zaharatos | University of Colorado Boulder | ['Linear Model', 'regression', 'R Programming', 'Statistical Model', 'Linear Model', 'regression', 'R Programming', 'Statistical Model'] | Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models. Emphasis will be placed on analyzing real data using the R programming language. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program atOpens in a new tabhttps://www.coursera.org/degrees/master-of-science-data-science-boulder.Opens in a new tab Logo adapted from photo byVincent LedvinaOpens in a new tabonUnsplashOpens in a new tab Applied Learning Project Learners will master the application and implementation of statistical models through auto-graded and peer reviewed Jupyter Notebook assignments. In these assignments, learners will use real-world data and advanced statistical modeling techniques to answer important scientific and business questions. Articulate some recommended practices for ethical behavior and communication in statistics and data science. Interpret important components of the MLR model, including the “systematic” and “random” components of the model. Describe and implement testing-based procedures for model selections and select a “best” model based on a given procedure. Identify and interpret the two-way ANOVA (and ANCOVA) model(s) as a linear regression model. Use the two-way ANOVA and ANCOVA models to answer research questions using real data. Define and apply the concepts of replication, repeated measures, and full factorial design in the context of two-way ANOVA. Describe how to generalize the linear model framework to accommodate data that is not suitable for the standard linear regression model. State some advantages and disadvantages of (generalized) additive models. Describe how an additive model can be generalized to incorporate non-normal response variables (i.e., define a generalized additive model). | 3 course series | Intermediate level | 3 months (at 10 hours a week) | https://www.coursera.org/specializations/statistical-modeling-for-data-science-applications | null |
6,228 | Description Design for Interactive Learning Resources | Enrollment number not found | Rating not found | null | Taliesin L. Smith | University of Colorado Boulder | ['Interactive Design', 'User-Centered Design', 'Description Design for Interactive Resources', 'Inclusive Design', 'User Experience Design (UXD)'] | This course gives you easy access to an innovative description design framework used and created by experts in description design who design descriptions for highly interactive learning resources. Interactive learning resources are common, fun, and effective tools that engage learners in the classroom and in remote learning environments. Many of these interactives rely on the visual display. This limits non-visual experiences, and makes many interactive learning resources inaccessible to learners with significant visual impairments or print- and graphics-related disabilities. Descriptions are verbalized text for supporting non-visual access.
This course will show you how to create descriptions, the verbalized text, needed to make interactive learning resources (interactives) accessible to learners who are blind or have a visual impairment (learners with BVI). The course weaves together concepts from inclusive design, web accessibility, and general best practices for description design for non-visual access. The main focus of the course is learning about and using the Description Design Framework created by design researchers at PhET Interactive Simulations.
Through a series of design tasks, each preempted with examples and demonstrations, the course walks you through how to design descriptions for an interactive of your choosing. While prior experience in web accessibility, interaction design, and description is useful, it is not required for this course. We share many examples from our work, and include tips and design patterns that we have created and actively use to describe our highly interactive science and math simulations. If you have an interest in creating descriptions for interactive learning resources, join us in this course. The Description Design Framework helps us take a methodical approach to the challenging task of designing descriptions for interactives, and we want to share what we know so others can design engaging descriptions that support non-visual access to interactive learning resources. In week 1 we introduce ourselves, the field of description, challenges for description design for interactives, and most importantly give you a quick walkthrough of the Description Design Framework we have created (and use) to design descriptions for highly interactive learning resources. Before moving on to module 2 you need to decide on what screen reader is appropriate for your use, install it if necessary, and choose an interactive to work on throughout the course. Choose a PhET Interactive from our list of suggestions, choose one from our website, or choose an interactive of your own. Make sure it is relatively simple. Let’s start small and learn big! Description design for interactives is both challenging and fun. 9 videos11 readings5 assignments3 discussion prompts This week we define and explore the framework’s State Descriptions: Static States (the descriptions that do not change) and Dynamic States (the descriptions that change to maintain an accurate current state). Inclusive design and web accessibility concepts are woven in as needed as we begin to focus on access for non-visual learners. We cover design patterns 1, 2, 3, and 4, and share examples from our work. You will gain an understanding of the different ways we use State Descriptions to frame and encourage interaction. This week we will also focus on the static side of State Descriptions, defining Static State Descriptions (the descriptions that do not change). The Design Tasks this week focus on analyzing the visual design and using the design patterns and examples to get you drafting Static State Descriptions. You will draft names for interactive objects, draft an introductory summary (or scene summary), decide on the best navigation order, and draft hints and help texts. We have Interactive Description Design Templates that you can use to organize your descriptions, so you are able to share your design ideas with your peers in the course and elsewhere. You are encouraged to use the discussion area to engage with others taking the course, and to submit examples of your descriptions for peer review, so you can get feedback. 7 videos10 readings6 assignments2 discussion prompts This week we focus on the dynamic side of State Descriptions, defining Dynamic State Descriptions (the descriptions that change to maintain an accurate current state), and cover State Description design patterns 5, 6, and 7. We introduce “Qualitative Scales” and provide examples on how to design and document dynamic parameters for dynamic state descriptions. We use examples of the scales we have already designed and encourage you to explore, reuse, and adapt these in your own designs. The Design Tasks focus on analyzing different states of your chosen interactive. You will draft dynamic state descriptions and the associated scales needed for them in the Design Tasks. In the second half of the week we begin to discuss strategies for refinement starting with Design Pattern 7, and then outline aspects of the writing style we embrace in our work. We encourage you to keep your design doc up-to-date and organized as you iterate and work through your ideas. You are encouraged to use the discussion area to engage with others taking the course, and to submit examples of your descriptions to get feedback. In week 5 and 6 we cover more formal evaluation methods. 7 videos11 readings7 assignments5 discussion prompts This week we change our perspective to what happens when a learner takes action. We define and explore the framework’s Responsive Descriptions: the descriptions that communicate changes to interactive objects as they happen (Object Responses) and communicate simultaneous changes happening to the surrounding context as a result (Context Responses). Taking an interactive perspective is key to learning how to describe "what's happening as it happens". Through demonstrations we highlight how Object and Context Responses come together to capture the “relevant changes”. The design tasks challenge you to carefully analyze what changes happen in your interactive as you interact with it, then ask you to draft Object and Context responses. Be sure to review the learning goals of your interactive, and we recommend starting with simple or standard interactions that may even be secondary to the interactive’s learning goals. Once simple interactions are clear focus on the primary interactions - the interactions that are required for exploring concepts that may lead to achieving the learning goals. 5 videos7 readings5 assignments2 discussion prompts This week we begin to evaluate how the State and Responsive Descriptions work together to create an interactive story-like experience. We want our designs to support learners to intuitively interact, ultimately enabling them to freely explore the learning concepts presented in the interactive. We will cover two specific evaluation methods that are particularly useful for evaluating description designs without a working prototype. We encourage learners to evaluate and iterate on the description designs for their chosen interactive and to organize them in such a way that the ideas can be shared with others (reminder: we provide templates of our Description Design Documents). In addition, we cover some things that description designers may be asked to do once the description design is implemented and being prepared for publication (e.g., sharing with an intended audience). 5 videos8 readings4 assignments3 peer reviews1 discussion prompt | 5 modules | Beginner level | 41 hours to complete (3 weeks at 13 hours a week) | https://www.coursera.org/learn/description-design-for-interactive-learning-resources | null |
6,229 | The Art and Science of Self Leadership | Enrollment number not found | Rating not found | null | Lata Dhir | S.P. Jain Institute of Management and Research | ['Self Strategies for Enhancing Emotional Intelligence', 'Understanding and Exploring the Concept of EI', 'Interpersonal Needs and Drives', 'Perception and Johari Window'] | The "Art and Science of Self Leadership" course is designed to empower individuals with the essential skills and insights needed to navigate personal and professional challenges effectively. By exploring the dynamics of self-concept, emotional intelligence, and interpersonal relations, learners will develop a deeper understanding of themselves and their interactions with others. The course is structured into three comprehensive modules. In the first module, participants will examine the VUCA environment and its impact on self-leadership while enhancing their self-concept through practical strategies and reflective exercises. The second module focuses on emotional intelligence, offering tools to recognize, understand, and manage emotions in themselves and others, promoting healthier workplace dynamics. Finally, the third module emphasizes mastering interpersonal relations and personality, equipping learners with the skills to build meaningful connections and create a personal vision that drives impactful leadership.
Through engaging videos, practical strategies, and self-reflective activities, this course aims to cultivate effective self-leaders prepared to thrive in an ever-changing world.
Learning Objectives
-Analyze the components of self-concept and their influence on personal and professional development in a VUCA environment.
-Evaluate emotional dynamics in the workplace and develop strategies for enhancing emotional intelligence to improve interpersonal relationships.
-Assess individual personality traits using frameworks such as the 16 Personality Types and synthesize this understanding to enhance workplace interactions.
-Create a personal vision statement based on self-awareness and reflection on interpersonal needs and personality traits to drive impactful leadership. The "Knowing My Self Concept" module delves into exercises and discussions aimed at fostering self-awareness. Participants explore their strengths & limitations cultivating a deeper understanding of their self-concept. This module will help the participants embrace their uniqueness for personal growth and fulfilment. 16 videos3 readings3 assignments1 discussion prompt The "Enhancing Emotional Intelligence" module helps to empower individuals in understanding, managing, and leveraging emotions effectively. It aims to enhance self-awareness, empathy, and interpersonal relationships. Participants will learn strategies to regulate emotions and navigate conflicts more effectively. 15 videos4 readings5 assignments The Developing Interpersonal Relations at Work module is tailored to provide participants with a comprehensive understanding of interpersonal dynamics. Participants will gain insights and learn strategies to enhance communication and collaboration in group settings by understanding different Personality types 20 videos4 readings5 assignments | 3 modules | Beginner level | 19 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/the-art-and-science-of-self-leadership | null |
6,230 | Transmedia Writing | 16,468 | 4.4 | 61 | David Wheeler | Michigan State University | [] | Do you have a desire to write a novel, write a screenplay, design a video game? In this project-centered course you will develop your own, original, intellectual property (IP) into a transmedia project containing written versions of your IP on various platforms. You will begin your novel, adapt the first chapters of your novel into the opening scenes of a film or TV show and create a game design concept of your IP. Learner review: "So much AMAZING information! The teacher and content are wonderful. Learned so much!"
This is a course is based in "Active Learning" so that most of the actual learning takes place within your own activities - that is, writing! You will learn by doing.
I am a proponent of experiential learning (also known as active learning). My lectures are short and succinct, designed in a step-by-step process essential to your success as a writer. I will guide you, I will show you how to get there, hopefully I will inspire you, but I won’t show you how to write or what to write. That is up to you, you are the only one who can illustrate your creative thoughts, by writing them! I firmly believe that the only way to become a writer is to write, write, write. You need to unleash your creativity and my plan is to help you to do exactly that!
Learner review: "This is the most challenging writing course that I have done so far! But, it actually made me write the first two chapters of my novel and now, I am now looking forward to finishing the novel and getting it published."
All of the assignments on this course are peer review. At each stage of the process, whether creating your novel, your screenplay or your video game, you will post your written work and review the works of your peers. Peer review is an extremely important element of this course. Giving feedback and getting feedback is essential to the development of your critical thinking and your growth as a writer. It is as important as the writing itself.
This course is designed to tap into your creativity and help you to develop your skills in expressing that creativity through written words.
Learner review: "It made me stay up to 4AM a few times, but its incredible. You will learn a lot, and it is a very fun class"
Writing is a truly beautiful, amazing, satisfying thing. Imagine, putting your own words on a page to tell a story which enters your readers minds and allows them to share the thoughts, emotions and lives of your characters. It is a very rewarding experience.
Learner review: "This course really pushed me to my limits and it is an eye opener for me that there are goals that I can still achieve and accomplish through the world of writing." In Module 1 you will create your Transmedia Intellectual Property (your IP), you will write a logline (a single sentence that describes the essence of your IP) and define the Dramatic Question of your IP 4 videos3 peer reviews1 discussion prompt In Module 2 you will begin your novel. You will design a Profile of your Main Characters, create an outline for your First Chapter, you will learn about point of view and syntax for writing a novel and you will write the First Chapter of your Novel. 3 videos3 peer reviews In Module 3 you will outline the second chapter of your novel and you will write Chapter Two 2 videos2 peer reviews In Module 4 you will begin your screenplay. You will write an outline of your adaptation of Chapter One of your novel into the opening scenes of your screenplay, you will learn about screenplay format and film grammar, you will become familiar with free screenplay software and you will write the opening scenes of your screenplay. 3 videos2 peer reviews In Module 5 you will write a detailed outline of your screenplay adaptation of Chapter Two of your novel, then you will write the scenes for the screenplay version of Chapter Two. 2 videos2 peer reviews In Module 6 you will create a Design Document to pitch your video game concept. You will learn about various types of video games with a focus on narrative games, write a description of the game version of your IP and you will create a full pitch document for your video game. 3 videos2 peer reviews | 6 modules | Beginner level | 22 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/transmedia-writing | null |
6,231 | Data-Driven Decision Making (DDDM) Specialization | 11,545 | 4.6 | 242 | Akshay Sivadas | The State University of New York | ['Data Collection', 'Gap assessment', 'Business Process Mapping', 'KPIs', 'Data-Driven Decision Making', 'Lean', 'Six Sigma', 'ISO 9001: 2015', 'Data storytelling', 'Data analysis tools', 'Statistical process control (SPC)'] | This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success. To learn more about the
specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11. Applied Learning Project Each course concludes with a project whereby learners apply DDDM theory to real-world scenarios, while concurrently considering implications for their own organizations. Projects may lead to measurable improvements in quality, cost, efficiency, operational flexibility, capital investments, time-to-market, customer satisfaction, or other key performance indicators. Develop a plan to align operational and performance goals Devise a data collection strategy and validate data integrity Understand how to create current and future state process maps Prioritize data gaps for root cause analysis Identify stakeholders and key components imperative to an analytics project plan Name strengths and weaknesses of different analysis and visualization tools Visually identify, monitor, and remove process variation Explain how to create a compelling data story Describe techniques to Identify root causes of variation and tools for evaluating potential solutions Apply the Design of Experiments (DOE) technique to test improvement options Evaluate, for a specific organization, which operational excellence methodology provides the maximum value Explain how to foster a culture of data literacy | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/data-driven-decision-making | null |
6,232 | Blockchain Revolution in Financial Services Specialization | 16,793 | 4.7 | 815 | Don Tapscott | INSEAD | ['Collaborative Working Environment', 'Blockchain (Database)', 'Open Collaboration', 'Access Structure', 'Object Binding', 'Alcatel Business Communications', 'Centurylink', 'Base Address', 'Collaborative Working Environment', 'Blockchain (Database)', 'Open Collaboration', 'Access Structure', 'Object Binding', 'Alcatel Business Communications', 'Centurylink', 'Base Address'] | As the Internet was the first digital medium for information, blockchain is the first native digital medium forvalue. Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations. This four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary. Students learn about various categories of cryptoassets and the ways they can be transacted on a blockchain. They learn how blockchain is transforming the economy and society at large—redefining workflows, global payments, and prosperity. As an outcome of this specialization, students produce a Strategic Action Plan wherein they identify and evaluate a promising application of blockchain technology within the financial services industry. The Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book, “Blockchain Revolution.” It also includes various industry experts and practitioners who will share their experiences within the blockchain ecosystem. Applied Learning Project Upon completion of this Specialization, learners will produce a Strategic Action Plan, in which you identify and evaluate a promising application of blockchain technology within the financial services industry. The goals of this project are twofold: One, it’s for you to identify a specific need or problem within the financial services industry that can potentially be solved using blockchain technology. Two, it’s for you to investigate possible solutions to this problem, and to develop a strategic plan for how these solutions might be executed. You will accomplish different project milestones each week, and will be introduced to several tools to organize your findings. The limitations of the Internet for business and economic activity, and how trust is established in a pre- and post-blockchain world Terms such as miner, hash, nonce, proof-of-work, and public key cryptography, as well as the steps of a blockchain transaction Seven design principles for blockchain technology Ten challenges associated with implementing blockchain technology Describe seven types of cryptoassets, and explain what it means to “tokenize” an asset Explain what a smart contract is, as well as various applications of smart contracts Explore the features of a distributed, self-sovereign identity system Describe eight core functions of the financial services industry and explain how blockchain will disrupt each of these functions Identify eight functions of the financial services industry and explain how blockchain will disrupt each of these functions Describe how blockchain will transform the roles of financial managers and the CFO Describe the inefficiencies associated with global payments infrastructure, and the solutions blockchain technologies could offer Identify the threats and opportunities of blockchain technology for central banks Identify new ideas or opportunities for blockchain within the financial services industry Explain how you will position your idea, including how your idea will create new value for your customers Identify the business model decisions that would need to be made in order to assess the feasibility of your idea Develop an execution plan for your idea, including a budget and project roadmap, and consolidate your work into a coherent Strategic Action Plan | 4 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/blockchain-financial-services | null |
6,233 | Business Problem Solving Specialization | Enrollment number not found | 4.7 | 17 | Alton Henley | Howard University | ['Modeling', 'Spreadsheet', 'Microsoft Excel', 'Business Analysis', 'Business Strategy'] | This Specialization is for learners who want to learn how to identify, analyze, and solve business problems using spreadsheet models. In addition, learners will use mathematical tools to discover key relationships in business data and develop the skills to build and manage data-driven business decisions. Applied Learning Project Throughout this Specialization, learners will engage in quizzes and practice spreadsheet modeling to solve business problems. For the Capstone (final) project, learners will combine spreadsheet modeling with analysis tools in Microsoft Excel to solve a business problem. Develop an understanding of the business process, including how to identify opportunities and risks. Utilize Microsoft Excel to create and manipulate spreadsheets. Interpret and analyze spreadsheet modeling outputs. This course introduces learners to the Data Analysis tools in Microsoft Excel. More specifically, learners will focus on how to build and use single regression and multiple regression to solve business problems. In this course, learners will be introduced to the capstone project and how to use advanced Data Analysis Tools to build spreadsheet models to solve a real-world business problem. In addition, learners will learn how to perform Correlation Analysis and Sensitivity Analysis using Microsoft Excel. | 3 course series | Intermediate level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/hu-business-problem-solving | null |
6,234 | Intel® Technical Pro – Principles of AI Software & Ecosystem | Enrollment number not found | Rating not found | null | Jennifer James | Intel | ['AI Deployments', 'Xeon Phi', 'AI Everywhere', 'AI deployments', 'Edge Computing', 'AI Capabilities'] | In the era of AI everywhere, businesses are reimagining every aspect of their operations, from finance to compliance, to see how AI can augment and automate workflows. Intel is helping businesses think differently about their enterprise AI strategies from the client to the edge to the cloud, helping customers maximize the value of their investments, reduce total cost of ownership (TCO), and get to market faster with enterprise-ready solutions. From this curriculum, you will learn how to expedite AI development using open standards and harness data to drive business transformation. Explore a wide range of security solutions within the broad Intel AI ecosystem to ensure data integrity and protection. Delve into the breadth of Intel's AI-based products with a deep focus on Intel’s AI software stack, toolkits, and Intel Developer Cloud for ease of AI solution deployments.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming. What does AI Everywhere mean? What product should I consider for what applications or AI development stage? Learn all this and get sales guidance around AI from client to edge and cloud. 1 reading1 assignment1 plugin oneAPI AI ToolKit, IPEX, OpenVINO™ - Learn the basics of positioning Intel AI Softwar 1 reading1 assignment1 plugin This module will provide a foundational overview of Intel® Gaudi® AI accelerators, ensuring that everyone can grasp the core concepts including MLPerf results. 2 readings1 assignment1 plugin This module will guide users through the initial steps of using Intel® Gaudi® AI accelerators and address model migration, making it accessible to a wide audience. 1 reading1 assignment1 plugin Intel® Gaudi® AI Accelerator is our AI-specific training and inference solution covering the largest foundational models and is competitive with Nvidia H100. The primary objective of this course is to provide comprehensive education to experienced deep learning engineers and data scientists who possess prior expertise in PyTorch and DeepSpeed. Throughout this course, participants will gain insights into the numerous advantages and exceptional capabilities offered by the Intel Gaudi AI accelerator for PyTorch training and inference workloads. 1 reading1 assignment1 plugin Learn how you can build computer vision models with Intel® Geti™ platform and deploy with OpenVINO™ toolkit using cross-platform solutions. OpenVINO toolkit has seen 111% YOY increase in downloads... learn why. It's a toolkit that is easy to use when implementing compression and optimization techniques for your deep learning inferencing needs. Most recently, in the 2023.1 release, the toolkit has expanded to support more LLM models, making Gen AI workloads more accessible on client and edge. Learn how customers can benefit from this great toolkit. 1 reading1 assignment1 plugin Learn where to find and how to deploy Intel's open-source AI software optimizations for 4th and 5th Gen Intel® Xeon® Scalable processors to ensure you're maximizing AI performance on the systems that are running your business. 1 reading1 assignment1 plugin We are witnessing the convergence and use of Artificial Intelligence (AI) in High-Performance Computing (HPC) due to the availability of large amounts of data and the rapid development and use of AI frameworks and models. This convergence has begun to reshape the landscape of scientific computing, enabling scientists to address problems in ways that were not possible before. A large number of HPC workloads are governed by the laws of physics, medical science, material science, etc. For example, take fluid flow using numerical methods for partial differential equations. 2 readings1 assignment1 plugin You have likely heard that AI runs well on Intel® Xeon® processors. Customers are looking to deploy AI on the general computing systems they already have, but they need solutions that they can deploy within their time, resource, and expertise constraints. Learn about AI reference solutions that are optimized on Intel Xeon CPUs based on both the infrastructure and software stacks that are predominantly used by enterprise customers. 2 readings1 assignment1 plugin Ushering in the AI PC era takes leadership products at scale coupled with a broad software ecosystem to deliver the best AI experiences. Come immerse yourself in the AI PC journey. Learn about the Intel® products, ISV partners, and how Intel is leading this new era of client computing. 1 reading1 assignment1 plugin Congratulations on completing this course. 1 reading | 11 modules | Intermediate level | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/intel-technical-pro-principles-of-ai-software-ecosystem | null |
6,235 | Physics 102 - Electric Charges and Fields | 13,330 | 4.7 | 83 | Jason Hafner | Rice University | ['Force Fields', 'Problem Solving', 'Physics', 'Electronic Circuits', 'Electrical Engineering'] | This first course serves as an introduction to the physics of electricity and magnetism. Upon completion, learners will understand how mathematical laws and conservation principles describe fields and how these fields are related to electrical circuits. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This first course covers Charge, Electric Forces, and Electric Fields. Each of the three modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus at Rice. It will thoroughly prepare learners for their upcoming introductory physics courses or more advanced courses in physics. 17 videos5 readings13 assignments 16 videos3 readings8 assignments 17 videos3 readings10 assignments 1 assignment | 4 modules | Intermediate level | 22 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/physics-102-electric-charges-fields | null |
6,236 | Figma for UI/UX: Master Web Design in Figma | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['Figma components', 'professional web design tools', 'online UI/UX training', 'UI/UX Figma course', 'web designer skills development'] | This course is designed to help you master Figma, the industry-standard tool for UI/UX design, by guiding you through the entire process of creating professional web designs. You'll start by learning the basics of Figma’s interface, understanding how it compares to other design programs, and diving into your first website design. We then build on this foundation, covering essential design concepts such as working with colors, text, icons, and effects. You’ll gain hands-on experience through exercises that simulate real-world design challenges, ensuring you feel confident navigating Figma’s workspace. As you progress, the course delves deeper into advanced design features, introducing you to Figma's components, grids, and various effects that add depth and interactivity to your designs. You’ll learn how to create buttons, galleries, collages, and more, while also tackling real-life design issues that beginners often face. By following step-by-step guidance, you’ll develop a comprehensive understanding of web design best practices, from typography to layout, ensuring your designs are both beautiful and user-friendly.
The final sections of the course focus on applying your new skills to real projects. You’ll work on your first complete web design project, from setting up headers and navigation menus to crafting responsive designs that work seamlessly across devices. By the end of this course, you will not only be proficient in using Figma but also possess a strong foundation in web design, positioning you as a skilled UI/UX designer ready to take on professional projects.
This course is ideal for aspiring UI/UX designers, web designers, and developers looking to master Figma for web design. No prior experience with Figma is required, though a basic understanding of web design principles will be helpful. In this module, we will introduce you to the Figma platform and its web design capabilities. You’ll begin by exploring what sets Figma apart from other design tools, followed by hands-on guidance in creating and solving your first web design. Additionally, you will learn how to navigate Figma’s interface and discover tips to enhance your design efficiency. 14 videos1 reading In this module, we will dive into the most essential aspects of Figma that set it apart as a leading design tool. You’ll learn how to create interactive buttons, work with colors like a professional, and utilize images effectively. We’ll also explore text properties, grids, components, and advanced design techniques like masking. By the end, you will be well-versed in Figma's core features for professional web design. 16 videos In this module, we will guide you through your first full web design project in Figma. You’ll learn how to properly set up your desktop version and create essential components like headers, menus, and cards. Interactive elements such as dropdown menus and search boxes will also be covered, along with tips for improving your design. By the end, you’ll have a fully designed website and a solid foundation in web design principles. 14 videos1 assignment In this module, we will explore the foundational elements that lead to great web design. You’ll dive into settings and components, with case studies showcasing both standard and non-standard layouts. Key techniques such as element sizing, text formatting, and color contrast will be covered, along with practical tips for aligning elements and ensuring visual balance. By the end, you’ll have a solid understanding of essential web design principles. 14 videos In this module, we will focus on the second key to great web design: understanding the website’s purpose and its audience. You’ll explore the balance between user experience and business objectives, and how analytics can inform design. We’ll dive deep into e-commerce design, covering essential elements from homepage layout to checkout. Additionally, the module will highlight the role of landing pages, their impact on lead generation, and why they sometimes receive a bad reputation. Through case studies, you’ll see how client needs shape design choices. 18 videos In this module, we will explore the third key to great web design: mastering User Experience (UX). You’ll learn how attention to detail can significantly impact sales, especially through improvements in the checkout process and mobile optimization. We’ll cover specific website tweaks that elevate the user experience and demonstrate how collaboration with coders can bring your designs to life. By the end, you’ll have actionable strategies to enhance UX and create polished, high-performing websites. 9 videos1 assignment In this module, we will guide you through the complete process of redesigning an e-commerce website. Starting with foundational research, you’ll move through designing essential elements such as headers, navigation menus, and product cards. You’ll also learn how to implement advanced features like auto-layout and calls to action, ensuring a seamless user experience. Through detailed design improvements and content strategies, you’ll optimize product and interior pages for conversions, culminating in a polished, high-performing e-commerce site. 26 videos In this module, we will focus on transforming your desktop design into a fully responsive mobile version. You’ll learn how to start by adapting the homepage, creating a mobile-friendly header, and rearranging critical sections like the hero area and product grids. Additionally, we’ll cover essential steps for designing product cards, FAQs, and newsletters in a mobile context, ensuring your website is optimized for smaller screens without sacrificing functionality or aesthetic appeal. 10 videos In this module, we will explore the process of transforming your design into a live website. You’ll learn how to properly prepare your design for coding, including setting up projects for developers and clients. We’ll introduce Zeplin as a key tool for facilitating collaboration between designers and coders. Additionally, the module will cover important technical aspects like server-side content and multi-layer graphics, ensuring that your design is ready for development. 7 videos2 assignments | 9 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/packt-figma-for-ui-ux-master-web-design-in-figma-essgs | null |
6,237 | Arranging and Visualizing Data in R | 1,514 | Rating not found | null | Philip S. Boonstra | University of Michigan | ['Data Wrangling', 'R Coding', 'Data Visualization', 'Exploratory Data Analysis', 'Data Exploration'] | This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide variety of concepts will be covered, including sorting rows of data, grouping by variables, summarizing over variables, pivoting, and creating new variables. Then, learners will visualize their data, creating publication-ready plots with relatively little effort. Finally, learners will understand how to set up a project workflow for their own analyses. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured practice. Module 1 will cover all of the tasks to get you up and running in R. You’ll learn how to access R, how to navigate it, how to install R packages, and how to create scripts that keep a record of your work. We will also learn about The Global Findex Database 2017, a population-based survey and report that provides a wealth of information on financial access for persons all over the world. Your assessments will use data from The Global Findex Database 2017 to create a table and figure from the report. 9 videos8 readings4 assignments1 discussion prompt In Module 2, you will develop insight into how functions work as you are introduced to various functions from the tidyverse, which is a collection of eight R packages useful in data science. The lessons will guide you through performing common data wrangling tasks, such as filtering observations of a dataset and joining data from different sources. By the end of the module, you will have used these tools to reproduce the Indicator Table from The Global Findex Database 2017, which estimates account ownership statistics, including gender and income gaps, for all of the surveyed countries. 15 videos13 readings5 assignments1 discussion prompt Module 3 introduces you to R graphical capabilities. You will both learn about different types of plots – including scatterplots, lineplots, barplots, boxplots, and histograms – and how to make them in R. You’ll learn how to create multipanel plots. And you’ll continue to learn good overall R “hygiene” by keeping your code tidy. You’ll put these newly learned skills to work re-creating Figure 1.1 from The Global Findex Database 2017, which shows how account ownership varies by the income level of a country. 19 videos7 readings4 assignments Having worked through the first three modules, you’ve (re)produced a table and figure from The Global Findex Database 2017. Now what? In Module 4, you will learn about sharing your work with others: exporting tables and figures from R onto your computer. You’ll be introduced to a means of writing reports in R using RMarkdown. And finally we’ll talk about what happens when you get stuck: how to ask questions and where to get help. 5 videos4 readings1 peer review | 4 modules | Intermediate level | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/arranging-visualizing-data-r | null |
6,238 | Types of Conflict | 57,689 | 4.5 | 1,137 | Najla DeBow | University of California, Irvine | ['Assertiveness', 'Active Listening', 'Communication', 'Management'] | Conflict is everywhere and it is impossible to avoid conflicting viewpoints. However, not all conflict is bad, nor is it inherently negative. How conflict is handled makes all the difference. It is through proper identification and understanding of conflict that allows for effective resolutions, some of which may yield positive outcomes. In this course, we will examine the different types of conflict, how to understand and embrace the positive aspects of conflict, and how to successfully navigate conflict to positive resolution. This course presents the material though video lessons, case studies, and interviews. In each module students will be presented with in-video quiz questions to test their understanding. To further their mastery of the content students will also be asked to complete two peer reviewed assignments.
Upon completing this course, you will be able to:
1. Identify the different types of conflict
2. Illustrate the positive aspects of conflict
3. Provide examples of positive ways to deal with conflict Get started with the course! Begin by reading the Course Overview and completing the Pre-Course Survey. 1 video3 readings In this module we will describe the different types of conflict, identify the sources of conflict, and explain the levels of conflict. 11 videos In this module we will discover the positive aspects of conflict, identify appropriate ways of managing conflict, and differentiate among the causes of conflict. 9 videos1 peer review In this module we will develop positive ways of dealing with conflict, evaluate the cost of conflict, and analyze the impact of conflict to employee engagement and performance. 10 videos1 peer review Congratulations! You've made it to the end of the course. Please watch the end of course video, read the message from UCI Extension, and complete the post-course survey. 1 video2 readings | 5 modules | null | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/types-of-conflict | 96% |
6,239 | The ABC's of GDPR: Protecting Privacy in an Online World | 2,101 | 4.9 | 30 | Keith Gibson | Knowledge Accelerators | ['Data Security', 'Marketing Information Systems', 'Data Privacy Laws', 'Data Management', 'Marketing Ethics'] | This course is aimed at business professionals, web designers, and other interested professionals who collect, process, use, or otherwise encounter personal data subject to the European Union's General Data Protection Regulation. By the end of this course, learners will be familiar with roles involved in assuring compliance with GDPR standards, the rights of GDPR data subjects, responsibilities of organizations regarding GDPR and the consequences for failure to comply. Welcome! This course is aimed at business professionals, web designers, and other interested professionals who collect, process, use, or otherwise encounter personal data subject to the European Union's General Data Protection Regulation. By the end of this course, learners will be familiar with roles involved in assuring compliance with GDPR standards, the rights of GDPR data subjects, responsibilities of organizations regarding GDPR and the consequences for failure to comply with the law. 7 videos2 readings7 assignments4 discussion prompts | 1 module | Beginner level | 2 hours to complete | https://www.coursera.org/learn/the-abcs-of-gdpr-protecting-privacy-in-an-online-world | null |
6,240 | Cultural intelligence: Become a global citizen | 8,587 | 4.8 | 205 | Professor Fei Guo | Macquarie University | [] | We now live in a truly global, interconnected world in which every manager requires a high level of cultural intelligence. In a diverse work environment, a successful leader must understand the cultural backgrounds, beliefs and attitudes of the people around them – or run the risk of failing to achieve the organisation’s goals. This course, via structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments), will teach you that those with high ‘cultural intelligence’ – are good at spotting cultural differences and adapt their behaviour accordingly. You’ll develop cultural intelligence and sensitivity – key future-focused capabilities required of every leader. We are living in an increasingly globalised world, with growing flows of capital/business and people across national boundaries. What are the current state of development of global migration of capital and people? What are the important implications to businesses, communities and individuals? This week you will be introduced to the recent development in global migration of capital and people; the contributing factors to the changes over time; and consequences of global migration of capital and people. You will start by review the contemporary literature in these areas. You will also be exposed to the theoretical perspectives such as institutional approach and structural inequality framework in understanding global migration of business and people. 6 videos4 readings2 assignments Our communities and workplaces have become more diverse in terms of gender, age, ethnicity, religion, and country of origin. How do you perceive diversity in your communities and workplaces? Does diversity mean different? This week you will be introduced the concepts of affinities in addition to diversities. You will have the opportunities to examine the commonalities that diverse groups of people share in their daily life and in workplaces. You will also apply the theoretical framework “cultural capital” (in Pierre Bourdieu’s “The Forms of Capital”) in understanding how diversity contribute to the societies and businesses. 4 videos1 reading2 assignments Employees and business leaders nowadays are constantly interacting with people and stakeholders from diverse backgrounds. The cultural inclusion approach is adopted by many businesses and organizations to promote equity and fairness. What is your understanding of cultural diversity? Is diversity inclusion approach only for promoting the rights and opportunities for those who are disadvantaged? Are you aware of the values and benefits that people from diverse cultural backgrounds could bring to an organization? Do you know how to develop your cultural intelligence (CQ)? This week you will learn the importance of cultural intelligence (CQ) and the steps that you will need to take to develop your cultural strategic thinking and to cultivate your behavioural cultural intelligence. 4 videos2 readings2 assignments Being culturally intelligent is a key future-focused capability for today’s business leaders. In addition to developing their own cultural intelligence, business leaders need to learn how to leverage their cultural intelligence to effectively motivate and lead others in workplaces. This week you will learn the approaches and programs through which you apply cultural intelligence to effectively manage and lead culturally diverse teams or effectively interact with culturally diverse stakeholders. You will develop the competencies of evaluating cultural environments and strategizing responses accordingly. Attention will also be on the approach and framework for developing high-performing global teams 4 videos1 reading2 assignments Being a citizen of our globalised and interconnected world could also face a series of challenges. Traditional institutions, such as the state, community, workplace, and family have all been affected one way or another by the global forces. The boundaries of nation states become increasing blurry and weakened with increasing dominance of transnational business activities and migration of people. For many, traditional family structures are disrupted and family members scattered around globe. All these changes affect individual behaviour and the interactions with each other. This week you will examine the major challenges brought about by globalised forces and develop the awareness of these challenges in a range of institutional settings. 4 videos1 reading2 assignments Cultural intelligence (CQ) is a competitive advantage that current and future business leaders need to acquire and cultivate. By consciously or unconsciously practicing and applying CQ in your workplace and daily life, you will become a true global citizen and business leader in a globalized world. In the final week of this course, you will apply all the knowledge we have learned so far and focus on some practical exercises on how to develop the mindset that is globally oriented and culturally sensitive. You will also further develop some skills in translating your individual global mindset to ethical conducts of businesses and organizations. 4 videos1 reading2 assignments | 6 modules | null | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/cultural-intelligence | 96% |
6,241 | Bioinformatic Methods I | 111,026 | 4.7 | 1,724 | Nicholas James Provart | University of Toronto | ['Genetic Analysis', 'Bioinformatics Analysis', 'Evolution', 'Comparative Genomics'] | Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts.
The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics.
The second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions.
This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there.
These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course.
Bioinformatic Methods I is regularly updated, and was completely updated for January 2024. In this module we'll be exploring the amazing resources available at NCBI, the National Centre for Biotechnology Information, run by the National Library of Medicine in the USA. We'll also be doing a Blast search to find similar sequences in the enormous NR sequence database. We can use similar sequences to infer homology, which is the primary predictor of gene or protein function. 4 videos4 readings1 assignment In this module we'll continue exploring the incredible resources available at NCBI, the National Centre for Biotechnology Information. We will be performing several different kinds of Blast searches: BlastP, PSI-Blast, and Translated Blast. We can use similar sequences identified by such methods to infer homology, which is the primary predictor of gene or protein function. We'll also be comparing parts of the genomes of a couple of different species, to see how similar they are. 4 videos2 readings1 assignment In this module we'll be doing multiple sequence alignments with Clustal and MUSCLE (as implemented in MEGA), and MAFFT. Multiple sequences alignments can tell you where in a sequence the conserved and variable regions are, which is important for understanding the biology of the sequences under investigation. It also has practical applications, such as being able to design PCR primers that will amplify sequences from a number of different species, for example. 4 videos2 readings1 assignment 1 assignment In this module we'll be using the multiple sequence alignments we generated last lab to do some phylogenetic analyses with both neighbour-joining and maximum likelihood methods. The tree-like structure generated by such analyses tells us how closely sequences are related one to another, and suggests when in evolutionary time a speciation or gene duplication event occurred. 4 videos2 readings1 assignment In this module we'll take a set of orthologous sequences from bacteria and use DataMonkey to analyze them for the presence of certain sites under positive, negative or neutral selection. Such an analysis can help understand the biology of a set of protein coding sequences by identifying residues that might be important for biological function (those residues under negative selection) or those that might be involved in response to external influences, such as drugs, pathogens or other factors (residues under positive selection). 4 videos2 readings1 assignment In this module we'll explore some of the data that have been generated as a result of the rapid decrease in the cost of sequencing DNA. We'll be exploring a couple of RNA-Seq data sets that can tell us where any given gene is expressed, and also how that gene might be alternatively spliced. We'll also be looking at a couple of metagenome data sets that can tell us about the kinds of species (especially microbial species that might otherwise be hard to culture) that are in a given environmental niche. 4 videos2 readings1 assignment 1 reading2 assignments | 8 modules | Beginner level | null | https://www.coursera.org/learn/bioinformatics-methods-1 | 98% |
6,242 | Cortex-M Software Development Fundamentals | 3,661 | 4.5 | 28 | Uma Maheswari Ramalingam | Arm | [] | This course delves into software development topics such as working with Arm C/C++ compilers and Arm debug tools to optimize your software, whether it's for performance or code size. This course also looks more closely at the Common Microcontroller Software Interface Standard and how it helps ensure that software targeted at Cortex-M devices can be written using a consistent approach. This course delves into software development topics such as working with Arm C/C++ compilers and Arm debug tools to optimize your software, whether it's for performance or code size. This course also looks more closely at the Common Microcontroller Software Interface Standard and how it helps ensure that software targeted at Cortex-M devices can be written using a consistent approach.This module describes the essential compiler and linker options required in order to develop applications targeted at different Arm embedded systems. The presentation includes information about Arm Compiler for Embedded and the GNU toolchain. 1 video 19 videos8 readings1 assignment This module describes the debug and trace features available in the Armv8-M Mainline architecture. 10 videos1 reading1 assignment The Booting and Initialization module takes you through essential startup code that can ensure that the processor and system are configured and initialised appropriately before the 'main' function is reached in the C program. 19 videos1 reading1 assignment This module introduces Tarmac trace from Fast Models, and uses that to walk through everything a Cortex-M3 device would do if used with CMSIS code from Reset to the main() function, to triggering an interrupt using the NVIC. Although the module is related to a Cortex-M3 device, the details presented also apply to any Armv7-M / Armv8-M device, acting as a recap of all the content covered in this M-profile course. 11 videos4 readings1 assignment | 5 modules | Intermediate level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/cortex-m-software-development-fundamentals | null |
6,243 | The Art and Science of Producing Vocals and Instruments | Enrollment number not found | Rating not found | null | Carolyn Malachi | GRAMMY GO | [] | Dive deeper into the art and science of music production with 'The Art and Science of Producing Vocals and Instruments.' This comprehensive four-week course empowers you to bring your musical visions to life with confidence and finesse. Hone your pre-production skills, gain proficiency in using a Digital Audio Workstation (DAW), and delve into the intricacies of producing an artist’s vocals and instrumentation. By the end of this course, you'll be adept at music pre-production, DAW usage, and vocal and instrumental production. In this module, you'll learn how to initiate song production, participate in song selection, composition, and arrangement, and master the art of transforming samples. Discover best practices for collaborative music production. Engage in quizzes, discussions, and activities to solidify your knowledge. In "The Impact of Sampling," explore how sampling transforms tracks, and in "Exploring Song Structure and Collaborative Music Production," deconstruct songs and collaborate effectively. Assess your understanding with a Knowledge Check Quiz. 8 videos6 readings2 assignments2 discussion prompts1 plugin In this module, you'll master vocal production, understanding the goals of vocal producers and best practices to elevate vocal performances. You'll select the perfect microphone and set up a vocal chain to meet your production needs. Through activities like "Coaching Vocalists," you'll develop coaching skills, while "Create Your Comp Vocal" will hone your comping abilities. Analyzing award-winning songs will refine your production skills. With quizzes, discussions, and activities, You'll gain crucial knowledge and practice these essential skills. 8 videos3 readings1 assignment1 peer review1 discussion prompt In this module, you'll explore instrumental production, understanding its goals and four different types. You'll also learn best practices to guide musicians in delivering quality performances. Through activities like "Musical Excellence in Instrumental Production," you'll analyze award-winning songs and refine your own production skills. In "Coaching Musicians," you'll develop coaching strategies, while the peer review assignment "Create Your Instrumental" will expand your production capabilities. Engage in quizzes, discussions, and activities to build knowledge and practice these skills. 7 videos3 readings1 assignment1 peer review2 discussion prompts In this module, you'll work on a musical instrument production, understanding its key priorities like balancing vocals and instruments. You'll learn to blend vocals with instrumentals using strategies such as dynamic control, spatial placement, and frequency allocation. Explore EQ techniques to enhance vocal prominence by addressing frequency overlaps with instruments, and discover how automation, faders, and knobs can elevate a music production. In the peer-review assignment, "Create Your Original Production," apply these principles to create or enhance a production using various elements. Engage in quizzes, discussions, and activities to build knowledge and skills. 4 videos2 readings1 peer review | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/the-art-and-science-of-producing-vocals-and-instruments | null |
6,244 | Population Health: Responsible Data Analysis | 6,307 | 4.6 | 41 | Mar Rodriguez Girondo | Universiteit Leiden | ['Data Analysis', 'Data Reporting', 'R Programming', 'Statistical Data', 'Regression Analysis'] | In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. First, you will learn how to obtain, safely gather, clean and explore data. Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical methods are needed to make claims about the whole population of interest. You will discover how statistical inference, hypothesis testing and regression techniques will help you to make the connection between samples and populations.
A final important aspect is interpreting and reporting. How can we transform information into knowledge? How can we separate trustworthy information from noise? In the last part of the course, we will cover the critical assessment of the results, and we will discuss challenges and dangers of data analysis in the era of big data and massive amounts of information.
In this course, we will emphasize the concepts and we will also teach you how to effectively perform your analysis using R. You do not need to install R on your computer to follow the course, you will be able to access R and all the example data sets within the Coursera environment.
This course will become part of the to-be-developed Leiden University master program Population Health Management. If you wish to find out more about this program see the last reading of this Course! Welcome to the course Responsible Data Analysis! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in class and look forward to your contributions to the learning community.To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course! 2 videos3 readings1 discussion prompt1 plugin In this module, we will discuss how to obtain, store, clean and explore the data necessary to answer your research question. First, we will see how to collect data of good quality. Second, we will see how to address privacy and security when dealing with personal data. Then, we will see how to first describe and summarize your data. Finally, we will discuss the principles of initial data analysis. 6 videos4 readings6 assignments In this module, we will see how to deal with data obtained from a limited number of individuals. You will discover how statistical inference can make the connection between samples and populations. First, we will discuss important concepts such as random variation, sampling distribution and standard error. Second, we will discuss the principles of hypothesis testing. Then, we will review the moist commonly used statistical tests. Finally, we will discuss how to decide how large your study sample should be. 6 videos4 readings6 assignments In this module, we will discuss the basic principles of regression modeling, a collection of powerful tools to analyze complex data. We will start simple, and increase the complexity of the models step by step. We will start with linear regression, used with continuous outcomes. Then we will continue with logistic regression, which can be used to model binary variables, and finally we will consider regression with time to event outcomes. 6 videos5 readings6 assignments In this module , we will cover the critical assessment of data analysis results, and we will discuss challenges and dangers of data analysis in the era of big data and massive amounts of information. First, we will see how bad data analysis practice can dramatically impact scientific progress. Second, we will address the hot topic of how to report uncertainty in scientific findings. This has been object of big controversy in the scientific literature. We invited two experts to present their different points of view. Then, we will discuss different forms of bias. Finally, we will give you tips and tricks to write a perfect statistical plan.
Special about this week is that we are working with a discussion group about some difficult social situations you might encounter when doing your own research. Most of us who have worked in research might have been through those, and if you feel comfortable, please do share your thoughts about what you think is appropriate, and follow the threads as the rest of us reply! 7 videos4 readings4 assignments2 discussion prompts | 5 modules | Beginner level | 27 hours to complete (3 weeks at 9 hours a week) | https://www.coursera.org/learn/responsible-data-analysis | null |
6,245 | Strengthening Your Widening Network | 11,492 | 4.7 | 113 | Sarah Chong | National University of Singapore | [] | In this course, you will learn strategies not only on how to communicate effectively but also how to strengthen your relationships with co-workers and other stakeholders from diverse cultural backgrounds, both inside and beyond the organisation. In particular, "Strengthening your widening network" aims to equip you with a workplace discourse that facilitates familiarity with practices in the working environment and to help you appreciate the complexities inherent in the organisational structure and hierarchy. You will learn to write effective emails demonstrating a keen awareness of your audience and the 7 communication principles. In addition, you will learn to voice your views and assert your position at various communication contexts such as formal meetings and work-related discussions.
By the end of the course, you should demonstrate a greater communicative and linguistic competence, with a better grasp of interpersonal and intercultural communication in a globalised workplace. In this Module, you will find out more about the four courses that are offered in this Specialisation. 2 videos3 readings We will look at getting to know our colleagues, the physical work place, as well as the different levels of people on the organisational chart. 5 videos1 reading2 assignments1 discussion prompt We will look at how to connect with people appropriately and on the right note, as well as using the right mode, bearing in mind the 7Cs of effective communication as well as some theoretical constructs of intercultural communication. We will also look at effective email writing. 6 videos1 reading2 assignments1 peer review We will look at appropriate meeting behaviours and skills, how to participate at meetings effectively so as to be a contributing member of your organisation. We shall also be looking briefly at how you can build trust and credibility, two very important elements in interpersonal relationships. 9 videos1 reading3 assignments1 peer review | 4 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/strengthening-your-widening-network | null |
6,246 | Capstone Project: Predicting Safety Stock | Enrollment number not found | Rating not found | null | Rajvir Dua | LearnQuest | ['SARIMA modeling', 'Machine Learning', 'timeseries', 'Safety Stock', 'demand prediction'] | In this course, we'll make predictions on product usage and calculate optimal safety stock storage. We'll start with a time series of shoe sales across multiple stores on three different continents. To begin, we'll look for unique insights and other interesting things we can find in the data by performing groupings and comparing products within each store. Then, we'll use a seasonal autoregressive integrated moving average (SARIMA) model to make predictions on future sales. In addition to making predictions, we'll analyze the provided statistics (such as p-score) to judge the viability of using the SARIMA model to make predictions. Then, we'll tune the hyper-parameters of the model to garner better results and higher statistical significance. Finally, we'll make predictions on safety stock by looking to the data for monthly usage predictions and calculating safety stock from the formula involving lead times. In this module, we'll get acquainted with our dataset by exploring some of the most obvious groupings and identifying the variation in products. We'll discover which products sell where and prepare ourselves to use timeseries forecasts and safety stock predictions. 4 videos1 programming assignment2 discussion prompts1 ungraded lab In this module, we'll use the SARIMA model to make predictions on future sales. We'll then visualize some of these predicted sales before evaluating the accuracy and viability of our chosen model. 2 videos1 reading1 programming assignment1 ungraded lab In this module, we'll finish the project by calculating safety stock from monthly usage and lead times. We'll start by grouping products in order to find more accurate usage numbers. Then, we'll conclude by using the known formula along with our insights from the data in the calculation of safety stock for each product. 2 videos1 programming assignment1 ungraded lab | 3 modules | Intermediate level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/ml-safety-stock | null |
6,247 | Introduction to Vertex AI | Enrollment number not found | Rating not found | null | Fractal Analytics | Fractal Analytics | ['Critical Thinking', 'MLOps (Machine Learning Operations)', 'Complex Problem Solving', 'Machine Learning', 'Generative AI'] | Welcome to "Introduction to Vertex AI"! In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills.
We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects.
The course is best suited for aspiring data scientists, machine learning enthusiasts, and professionals eager to harness the potential of AI.
Understanding of Programming, Understanding of AI, and GenAI technology, and understanding Cloud computing, ML platform, DevOps, or LLMOps would be an added advantage.
You'll walk away with a clear understanding of Vertex.AI's basics, mastering its interface, and acquiring strategic insights to leverage this tool effectively. Elevate your AI journey and stay ahead in the dynamic landscape of machine learning with "Introduction to Vertex AI."
Let's get started!
Note: To be able to explore Vertex AI and its features, you would need a Gmail account and Vertex AI access. In case you want to create a free trial account before you start, you can follow the link (https://cloud.google.com/vertex-ai?hl=en) and create your account. Please read the information page before This module is designed to provide a comprehensive understanding of Vertex AI, a powerful and unified platform for machine learning. Participants will gain insights into the fundamental concepts, components, and applications of Vertex AI, equipping them with the knowledge needed to leverage its capabilities in real-world scenarios. 4 videos6 readings2 assignments1 discussion prompt This module provides a comprehensive exploration of Vertex AI platform, emphasizing its interface, key components, and practical applications in developing AI/ML solutions. Participants will gain insights into foundational models, their advantages, and the pivotal role of Vertex AI in enhancing machine learning operations (MLOps). 5 videos3 readings1 assignment1 peer review2 plugins | 2 modules | Beginner level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/introduction-to-vertex-ai | null |
6,248 | Concurrency in Go | 25,285 | 4.6 | 738 | Ian Harris | University of California, Irvine | [] | Learn how to implement concurrent programming in Go. Explore the roles of channels and goroutines in implementing concurrency. Topics include writing goroutines and implementing channels for communications between goroutines. Course activities will allow you to exercise Go’s capabilities for concurrent programming by developing several example programs. This course introduces the concept of concurrency in Go. The first module sets the stage by reviewing the physical factors that can restrict microprocessor performance increases in the future. 2 videos5 readings1 assignment1 peer review This module looks at basic concurrency concepts and race conditions in preparation for a discussion of threads coming up in the next module. 2 videos5 readings1 assignment1 peer review In this module, you’ll work with threaded goroutines and explore the benefits of synchronization. The week’s assignment has you using a threaded approach to create a program that sorts integers via four separate sub-arrays, then merging the arrays into a single array. 3 videos7 readings1 assignment1 peer review This last module ties together the various features – including threads, concurrency, and synchronization – covered in this course. The week’s programming assignment requires you to use concurrent algorithms in the implementation of the “dining philosopher’s problem and then address the ensuing synchronization issues. 3 videos8 readings1 assignment1 peer review | 4 modules | Intermediate level | null | https://www.coursera.org/learn/golang-concurrency | 87% |
6,249 | Geographic Information Systems (GIS) Specialization | 96,349 | 4.8 | 5,947 | Nick Santos | University of California, Davis | ['Spatial Analysis', 'Analytics', 'Workflow', 'Data Management', 'Data Analysis', 'Data Visualization', 'Software', 'arcgis', 'geoprocessing analysis', 'Geospatial Analysis', 'arcgis pro'] | Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. Applied Learning Project Learners will work through the various course projects to gain experience and skills related to geographic information systems. Each course builds on the knowledge of the previous and the final course provides you a survey of the various industries GIS is being used. Define core geospatial concepts Practice with subset data using selections and feature attributes Create map books using advanced mapping techniques Create layer and map packages Design data tables and use separating and joining data in a relational database Write query strings to subset data Create and work with raster data Create web maps Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products. In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules:
Week 1: How to represent spatial data and analyze spatial relationships using ArcGIS Pro
Week 2: Conduct Network-Based Analysis
Week 3: Demonstrate Heatmaps and Hotspot Analysis in ArcGIS Pro
Week 4: Expand your knowledge of data storytelling. Learn how to visually display your data and sharing your maps in ArcGIS Online.
Take Geospatial Analysis with ArcGIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first and second courses in this specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", before taking this course. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program. Expand their knowledge for geospatial analysis and develop new skills on how to use the advanced geoprocessing tools inside of ArcGIS Pro. | 4 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/gis | null |
6,250 | Incident Response and Digital Forensics | 66,205 | 4.7 | 1,777 | IBM Skills Network Team | IBM | ['Incident Response', 'Digital Evidence Handling', 'Security Analysis and Reporting', 'Cybersecurity Incident Management', 'Digital Forensics'] | This IBM course will teach you the critical skills needed to manage and investigate cybersecurity incidents. You will learn about key topics, including incident response frameworks (NIST and SANS), digital forensics methodologies, and best practices for handling digital evidence. Through hands-on labs and projects, you’ll gain practical experience in detecting, analyzing, and mitigating cybersecurity threats, as well as conducting forensic investigations using industry-standard tools. By the end of the course, you will be equipped to implement incident response plans, collect and analyze digital evidence, and report findings to support cybersecurity efforts. This course is ideal for learners looking to strengthen their expertise in digital forensics and incident response, making it an essential component for those aiming to advance in the cybersecurity field. This module focuses on the concept and importance of incident response. You’ll learn about the key preparatory steps for incident response and the importance of thorough documentation throughout the incident response process. You will delve into detection and analysis techniques used to identify and understand security incidents, followed by containment, eradication, and recovery strategies to prevent further damage and restore systems. The module also highlights the tools and automation technologies that enhance response efforts and covers post-incident activities. By the end of this module, you will be well-equipped to manage and mitigate security incidents effectively. 6 videos2 readings2 assignments6 plugins This module explores the essential aspects of digital forensics and investigation. It provides an overview of digital forensics and highlights its importance in investigating cyber incidents. You'll learn the data collection and examination methods, including using Cowrie for log investigation. The module covers key topics about handling digital evidence to ensure integrity, analyzing and reporting findings, and understanding forensic data files.
The module introduces various digital forensics tools and includes practical activities to apply knowledge in simulated investigations. Additionally, it covers the factors influencing data recovery. By the end of this module, you will be able to conduct thorough digital forensic investigations. 4 videos1 reading2 assignments1 app item4 plugins 1 video2 readings1 peer review3 plugins | 3 modules | Intermediate level | null | https://www.coursera.org/learn/ibm-incident-response-digital-forensics | 94% |
6,251 | IBM Data Warehouse Engineer Professional Certificate | 16,014 | 4.7 | 681 | IBM Skills Network Team | IBM | ['Data Warehousing', 'Data Warehousing'] | This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position. Throughout the online courses in this program, you will immerse yourself in the in-demand role of a Data Warehouse Engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize and manage Enterprise Data Warehouses (EDW). By the end of this Professional Certificate, you will be able to perform the key tasks required in a data warehouse engineering role. You will work with Relational Database Management Systems (RDBMS) and query data using SQL statements. You will use Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines with tools like Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You will gain experience with managing databases and data warehouses. Finally, you will design and populate data warehouse systems and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards. This program is suitable for anyone with a passion for learning and is suitable for you whether you have a college degree or not and does not require any prior data engineering, or programming experience. Applied Learning Project Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills. You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2. You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts. You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards. List basic skills required for an entry-level data engineering role. Discuss various stages and concepts in the data engineering lifecycle. Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines. Summarize concepts in data security, governance, and compliance. Describe data, databases, relational databases, and cloud databases. Describe information and data models, relational databases, and relational model concepts (including schemas and tables). Explain an Entity Relationship Diagram and design a relational database for a specific use case. Develop a working knowledge of popular DBMSes including MySQL, PostgreSQL, and IBM DB2 Analyze data within a database using SQL. Create a relational database on Cloud and work with tables. Write SQL statements including SELECT, INSERT, UPDATE, and DELETE. Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins. Describe the Linux architecture and common Linux distributions and update and install software on a Linux system. Perform common informational, file, content, navigational, compression, and networking commands in Bash shell. Develop shell scripts using Linux commands, environment variables, pipes, and filters. Schedule cron jobs in Linux with crontab and explain the cron syntax. Create, query, and configure databases and access and build system objects such as tables. Perform basic database management including backing up and restoring databases as well as managing user roles and permissions. Monitor and optimize important aspects of database performance. Troubleshoot database issues such as connectivity, login, and configuration and automate functions such as reports, notifications, and alerts. Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes. Explain batch vs concurrent modes of execution. Implement ETL workflow through bash and Python functions. Describe data pipeline components, processes, tools, and technologies. Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential. Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views. Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics. How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard. Explore the purpose of analytics and Business Intelligence (BI) tools Discover the capabilities of IBM Cognos Analytics and Google Looker Studio Showcase your proficiency in analyzing DB2 data with IBM Cognos Analytics Create and share interactive dashboards using IBM Cognos Analytics and Google Looker Studio Demonstrate proficiency in skills required for an entry-level data warehouse engineering role. Design and implement various concepts and components in the data warehouse engineering lifecycle such as data repositories. Showcase working knowledge with relational databases, data warehouses, and data pipelines. You can use your expertise in Linux shell scripting, SQL, and business intelligence Cognos dashboard design, to tackle data warehousing problems. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. | 9 course series | Beginner level | 4 months (at 10 hours a week) | https://www.coursera.org/professional-certificates/data-warehouse-engineering | null |
6,252 | Introduction to Political Citizenship | Enrollment number not found | 4.6 | 10 | Marco Giugni | University of Geneva | ['Youth Activities', 'Political Sciences', 'Political Philosophy', 'Immigration Issues', 'Political Sociology'] | This course provides a comprehensive introduction to political citizenship from both a theoretical and empirical perspective, with a particular emphasis on its participatory dimension. Participants will engage with fresh teaching materials, alongside insightful interviews and case studies, thanks to contributions from researchers in the Department of Political Science and International Relations at the University of Geneva as well as international experts on political participation, citizenship, and migration. The various components of the MOOC offer a diverse and well-rounded approach to understanding citizenship. Citizenship consists of membership in a political community and involves both rights and duties, including the duty to actively engage with and contribute to that community. It also entails addressing the challenges encountered by specific groups, such as migrants and young people, in relation to their citizenship status, rights, and participation. This course aims to offer a deeper comprehension of the features and complexities of citizenship in today's globalized world, while also fostering the development of critical thinking.
Whether you are already familiar with the notion of citizenship or not, this course offers you fresh insights into some of the key contemporary challenges surrounding citizenship and their far-reaching social impacts on citizens. This module will provide you with the basic theoretical tools for the entire course. You will discover how the concept of citizenship has come into being, the values that can justify different views of citizenship and its components (membership, rights, participation). Together, we will examine how citizenship can hold diverse meanings and implications for various groups, such as migrants, young people and the unemployed. After completing the module, you will be able to identify various models of citizenship and understand the impact of being a citizen on people's lives, both in general and within democracies. 15 videos8 readings3 assignments2 app items1 discussion prompt This module focuses on the participatory dimension of citizenship from a general point of view. You will discover the various forms of political participation (electoral and non-electoral, voting and social movements), how they have evolved over time, and how they help to define the outline of citizenship in contemporary societies. We shall touch upon, amongst other, concepts such as "active citizenship" and "participatory citizenship". After completing this module, you should be able to identify the main issues related to the relationship between citizenship and political participation. 15 videos2 readings6 assignments3 app items This module examines the conceptual and practical connections between citizenship and participation in the field of migration. You will discover how the conceptions and institutional practices of citizenship, as seen in the first module, shape the migration field and how they relate to both discourses and actions that influence the degree of political inclusion of immigrant groups. You will gain familiarity with the historical emergence of integration policies and observe how these relate to collective mobilization and individual participation in migration politics. The module will allow you to assess key determinants of the political inclusion of immigrants in contemporary democracies. After completing this module, you should be able to identify the main issues related to the relationship between citizenship and political participation with respect to migration politics. 17 videos4 readings4 assignments3 app items1 discussion prompt This module examines the conceptual and practical connections between young citizens and political participation. You will discover how young people are seen in the public sphere and how they challenge the conceptions of citizenship. Specifically, you will understand how young people relate to both discourses and actions pertaining to young people, and how this affects their political inclusion. Moreover, you will gain familiarity with the social and political inclusion of young people, how and under what circumstances young people are socialized to the public life, and how they relate to collective mobilization and individual participation. After completing this module, you should be able to identify the main issues related to the relationship between citizenship and young people. 15 videos3 readings6 assignments1 discussion prompt | 4 modules | Beginner level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/introduction-to-political-citizenship | null |
6,253 | Power BI Data Analyst Associate Prep | Enrollment number not found | Rating not found | null | Skill-Up EdTech Team | SkillUp EdTech | ['Data Analysis', 'SQL Queries', 'Data Visualization', 'Data cleaning and shaping', 'Data Analysis Expressions (DAX) functions'] | This short course will guide you on preparing for the PL-300: Microsoft Power BI Data Analyst exam. This exam is the requirement for Microsoft Certified: Power BI Data Analyst Associate certification. The course provides you with a detailed understanding of the Power BI concepts, its features, and capabilities. By the end of this course, you will be able to:
- Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI.
- Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions.
- Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature.
- Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI.
The PL-300 exam is intended for data professionals who want to collaborate closely with business stakeholders, enterprise data analysts, and data engineers to identify and acquire data, transform the data, create data models, visualize data, and share assets using Power BI.
Having experience with data analysis, reporting, Power BI, proficiency in writing expressions by using Data Analysis Expressions (DAX), and understanding how to assess data quality is a must. The module begins with an overview of the features and components of Power BI that make it a great tool for data analysis. You’ll be able to explain how to retrieve data from different data sources and import it into Power BI by using Power Query. You’ll also learn how to clean and shape data for analysis purposes and load it into Power BI before getting into data modeling.
Additionally, you will gain insight into Power BI data model frameworks, their benefits, limitations, and features that help optimize the selection of a Power BI data model. You will also learn to simplify the process of designing data models with an emphasis on the use of tables and dimensions and the significance of correct data granularity.
Finally, you will gain insight into advanced data modeling features and how to perform advanced model calculations by using Data Analysis Expression (DAX) functions. You’ll also learn to add measures to Power BI Desktop models for enhancing the visualization of model data. 12 videos3 readings4 assignments1 discussion prompt In this module, you’ll explore various visualization strategies that enable you to implement effective data visualization. You will learn how to use core desktop visualization types to design visually appealing reports. Additionally, you will gain insight into formatting and configuring visualizations and discover techniques to perform data analytics by using the Analyze feature in Power BI.
Finally, you’ll dive into how to use the Analytics feature for performing data analytics within Power BI, which helps you perform tasks such as identifying outliers, grouping data, and applying time series analysis. 6 videos2 readings3 assignments In this module, you’ll explore asset deployment by creating a Power BI service workspace and dynamic dashboards. Additionally, you will learn how to manage and promote datasets and implement essential measures to ensure row-level security (RLS) in Power BI. 4 videos3 readings2 assignments | 3 modules | Intermediate level | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/power-bi-data-analyst-associate-prep | null |
6,254 | IBM AI Engineering Professional Certificate | 105,305 | 4.5 | 6,727 | Sina Nazeri | IBM | ['Keras (Neural Network Library)', 'Transformers', 'LLMs', 'PyTorch (Machine Learning Library)', 'Deep Learning', 'Artificial Intelligence', 'Neural Networks', 'Keras (Neural Network Library)', 'Transformers', 'LLMs', 'PyTorch (Machine Learning Library)', 'Deep Learning', 'Artificial Intelligence', 'Neural Networks'] | AI is expected to grow 37.3% by 2030 (Forbes).This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer. During this program, you’ll learn to build, train, and deploy different types ofdeep architectures, includingconvolutional neural networks,recurrent networks, autoencoders,andgenerative AI modelsincludinglarge language models (LLMs). You’ll master fundamental concepts of machine learning and deep learning, includingsupervised and unsupervised learning, using Python. You’ll apply popular libraries such asSciPy, ScikitLearn, Keras, PyTorch,andTensorFlowto industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications usingLLMsandRAGwith frameworks likeHugging FaceandLangChain. You’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks. If you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out! Applied Learning Project Hands-on, Practical Project Work to Showcase Your Skills to Employers The best way to convince employers you’re the right person for the job is to highlight your relevant hands-on experience in an interview. This PC is specifically designed to help you build the practical experience employers look for. Throughout the program, you’ll apply your skills in hands-on labs and projects that fine-tune your new competencies. You’ll: Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow. Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn, positional encoding, masking, attention mechanism, and document classification. Create LLMs like GPT and BERT. Develop transfer learning applications in NLP using major language model frameworks like LangChain, Hugging Face, & PyTorch. Set up a Gradio interface for model interaction and construct a QA bot using LangChain and LLM to answer questions from loaded documents. Describe the various types of Machine Learning algorithms and when to use them Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to:
• Describe what a neural network is, what a deep learning model is, and the difference between them.
• Demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines.
• Demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks.
• Build deep learning models and networks using the Keras library. Create custom layers and models in Keras and integrate Keras with TensorFlow 2.x Develop advanced convolutional neural networks (CNNs) using Keras Develop Transformer models for sequential data and time series prediction Explain key concepts of Unsupervised learning in Keras, Deep Q-networks (DQNs), and reinforcement learning Job-ready PyTorch skills employers need in just 6 weeks How to implement and train linear regression models from scratch using PyTorch’s functionalities Key concepts of logistic regression and how to apply them to classification problems How to handle data and train models using gradient descent for optimization Key concepts on Softmax regression and understand its application in multi-class classification problems. How to develop and train shallow neural networks with various architectures. Key concepts of deep neural networks, including techniques like dropout, weight initialization, and batch normalization. How to develop convolutional neural networks, apply layers and activation functions. Build a deep learning model to solve a real problem. Execute the process of creating a deep learning pipeline. Apply knowledge of deep learning to improve models using real data. Demonstrate ability to present and communicate outcomes of deep learning projects. Differentiate between generative AI architectures and models, such as RNNs, Transformers, VAEs, GANs, and Diffusion Models. Describe how LLMs, such as GPT, BERT, BART, and T5, are used in language processing. Implement tokenization to preprocess raw textual data using NLP libraries such as NLTK, spaCy, BertTokenizer, and XLNetTokenizer. Create an NLP data loader using PyTorch to perform tokenization, numericalization, and padding of text data. Explain how to use one-hot encoding, bag-of-words, embedding, and embedding bags to convert words to features. Build and use word2vec models for contextual embedding. Build and train a simple language model with a neural network. Utilize N-gram and sequence-to-sequence models for document classification, text analysis, and sequence transformation. Explain the concept of attention mechanisms in transformers, including their role in capturing contextual information. Describe language modeling with the decoder-based GPT and encoder-based BERT. Implement positional encoding, masking, attention mechanism, document classification, and create LLMs like GPT and BERT. Use transformer-based models and PyTorch functions for text classification, language translation, and modeling. Sought-after job-ready skills businesses need for working with transformer-based LLMs for generative AI engineering... in just 1 week. How to perform parameter-efficient fine-tuning (PEFT) using LoRA and QLoRA How to use pretrained transformers for language tasks and fine-tune them for specific tasks. How to load models and their inferences and train models with Hugging Face. In-demand gen AI engineering skills in fine-tuning LLMs employers are actively looking for in just 2 weeks Instruction-tuning and reward modeling with the Hugging Face, plus LLMs as policies and RLHF Direct preference optimization (DPO) with partition function and Hugging Face and how to create an optimal solution to a DPO problem How to use proximal policy optimization (PPO) with Hugging Face to create a scoring function and perform dataset tokenization In-demand job-ready skills businesses need for building AI agents using RAG and LangChain in just 8 hours. How to apply the fundamentals of in-context learning and advanced methods of prompt engineering to enhance prompt design. Key LangChain concepts, tools, components, chat models, chains, and agents. How to apply RAG, PyTorch, Hugging Face, LLMs, and LangChain technologies to different applications. Gain practical experience building your own real-world gen AI application that you can talk about in interviews. Get hands-on using LangChain to load documents and apply text splitting techniques with RAG and LangChain to enhance model responsiveness. Create and configure a vector database to store document embeddings and develop a retriever to fetch document segments based on queries. Set up a simple Gradio interface for model interaction and construct a QA bot using LangChain and an LLM to answer questions from loaded documents. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ Illinois Tech Degree · 12-15 months University of London Degree · 3 – 6 years Ball State University Degree · 24 months ¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information. | 13 course series | Intermediate level | null | https://www.coursera.org/professional-certificates/ai-engineer | null |
6,255 | Supporting Families and Caregivers | 3,058 | 4.4 | 37 | Kavitha Ramchandran | Stanford University | ['Caregiver Support', 'Palliative Care', 'Psychosocial Support', 'Child Guidance'] | This course takes a deep dive into the challenges families and friends of a patient with serious illness face and how you can care for and support them as a provider, social worker or family friend. Supporting Families and Caregivers especially focuses on the children of a patient with serious illness and their caregiver, and teaches you the best way to empower them to get the support they need. By the end of this course, you will be able to provide critical avenues of support for the people who are instrumental to your patients care, wellbeing and quality of life. Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content. Welcome to Supporting Families and Caregiver, the fourth course in the Palliative Care Always specialization. This course takes a deep dive into the challenges families and friends of a patient with serious illness face and how you can care for and support them as a provider, social worker or family friend. Supporting Families and Caregivers focuses especially on the children of a patient with serious illness and their caregiver, and teaches you the best way to empower them to get the support they need. By the end of this course, you will be able to provide critical avenues of support for the people who are instrumental to your patients care, wellbeing and quality of life. This module will provide you with information on the course structure and first steps. 3 readings2 assignments This module provides a review of the key concepts learned in the courses Essentials of Palliative Care, Symptom Management in Palliative Care, and Transitions in Care from Survivorship to Hospice. We realize that some learners are interested in only completing specific courses while others are moving through the entire specialization. The following videos are meant as a review for those who have not completed the other courses. You are not required to watch these videos if you feel you have a strong handle on the material. You can check your knowledge with the ungraded quiz in the next section and review the summary videos if necessary. Also contained in this module are the Sarah case study videos from Essentials of Palliative Care, Symptom Management in Palliative Care, and Transitions in Care from Survivorship to Hospice for those who want to review her story. 18 videos3 readings1 assignment Clinicians can support families experiencing cancer by regularly assessing both the child’s adjustment and the parents’ ability and confidence in helping their children cope. Child and family guidance professionals can act as a resource. This module will review basic screening and assessment of child adjustment, and offer practical strategies to help families talk about difficult topics and maintain a sense of normalcy during serious illness. 5 videos7 readings4 assignments1 discussion prompt In this module we discuss the caregiver experience in detail, learn how to screen for caregiver distress and provide advice to support caregivers. 4 videos6 readings3 assignments1 discussion prompt3 plugins Congratulations on completing the course content. You have a few more step to complete the course. First review your reflection, next complete a peer-reviewed course project and then take the final exam. We hope you have enjoyed the course and look forward to seeing you in other classes! 1 reading2 assignments1 peer review | 5 modules | Beginner level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/supporting-families-and-caregivers | null |
6,256 | Teaching Impacts of Technology: Data Collection, Use, and Privacy | 3,167 | 4.6 | 10 | Beth Simon | University of California San Diego | [] | In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level. This course is part of a larger Specialization through which you’ll learn impacts of computing concepts you need to know, organized into 5 distinct digital “worlds”, as well as learn pedagogical techniques and evaluate lesson plans and resources to utilize in your classroom. By the end, you’ll be prepared to teach pre-college learners to be both savvy and effective participants in their digital world.
In this particular digital world (personal data), you’ll explore the following Impacts & Technology pairs --
Impacts (Show me what I want to see!): Internet Privacy, Custom Ads, Personalization of web pages
Technologies and Computing Concepts: Cookies, Web vs Internet, https, Web Servers
Impacts (Use my data…. But protect it!): Common Cybersecurity knowledge levels, ISP data collection, Internet design, finding out what is known about you online, software terms and services
Technology and Computing Concepts: DNS, Cryptography (ciphers, hashing, encryption, SSL), Deep and Dark Web
Impacts (What could my data do for me in the future?): What is Big Data, Machine Learning finds new music, Wearable technologies.
Technology and Computing Concepts: AI vs ML, Supervised vs Unsupervised learning, Neural Networks, Recommender systems, Speech recognition
In the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn how to apply Bloom’s taxonomy to create meaningful CS learning objectives, the importance of retrieval-based learning, to build learning activities with online simulators, and how to use “fun” books to teach computing.
In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept. Practices we cover include “fostering and inclusive computing culture”, “recognizing and defining computational problems”, and “communicating about computing”. Welcome! Are you interested in teaching about the impacts of your personal data in the digital world? To learn more about the computation and computing concepts that underlie the technologies using that data? We'll be using a problem-based approach to explore interesting ways to teach concepts of networks and the internet, data and analysis, and even algorithms and data representation. Finally, we'll read a chapter from a children's fiction book -- "The Secret Code Menace" and identify some computer science learning outcomes for that chapter. 2 videos3 readings1 assignment1 discussion prompt Why is it that when you are shopping for an item on one website, you start seeing ads for it other in other places? How do websites know (and quite well) what products and services to recommend their customers and users? We'll look at how the internet has evolved to personalize people's experiences while online. Then to finish up this week, we will learn about how cookies and web servers work, as well as how HTTPS keeps connections secure. 7 videos5 readings2 assignments6 app items2 discussion prompts This week we'll look at aspects of our personal data such as -- when we we do not want it used, how we can keep it safe, and what control we have. In this Technology Exploration, we'll learn about ciphers, hashing, cryptography, and encryption. Also, do you know the difference between the "deep" web and the "dark" web? (You will know by the end of this week!) 5 videos8 readings2 assignments1 app item2 discussion prompts So far we have learned about data collection and privacy. Now we will spend the week covering some ways that data is used, so we must introduce big data. Along with our exploration of this progressive concept, we will help you connect the use of big data to machine learning though an activity designed to guide your understanding in a fun way! 4 videos3 readings2 assignments4 app items Next we'll let you choose what you want to explore around "impacts of computing" for the technologies we've explored in this world. Along with that, we'll introduce another "Formative Classroom Assessment Technique" (FACT) and have you practice how you would use this in the classroom. For our pedagogical focus, we'll look at how retrieval practice helps you learn far more effectively than "re-studying" and how to define the learning objectives for a given learning activity using Bloom's taxonomy. Finally, you'll get to read a short chapter from a children's fiction book "The Secret Code Menace" and identify for yourself what kids can learn from reading it! 6 videos5 readings2 assignments1 app item1 discussion prompt | 5 modules | Beginner level | 12 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/teach-impacts-technology-data | null |
6,257 | Design Concepts in Metro Rails | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['Design of Metro Stations', 'Cladding (Construction)', 'Planning'] | This course has been created for Civil and Transportation Engineers. The "Design concepts in Metro Rail systems" course is intended for entry level Engineers, those who want to comprehend and navigate the concepts in design of Metro rail systems. Throughout this course, participants will learn about the fundamental principles of design of Metro Rail systems in five modules. Tailored by industrial experts, this course is for the consumption of entry level Engineers in the Indian Subcontinent. The first module focuses on elevated metro stations, encompassing a detailed examination of station components, loads exerted on the station, modeling, and analysis concepts utilizing software. Learners will gain insights into the intricacies of designing station components, emphasizing practical applications and the utilization of software for effective modeling and analysis in the metro station design process.
The second module delves into the elements of elevated viaducts, exploring topics such as Indian codes of practice governing metro viaducts, the various loads acting on these structures, and the application of modeling and analysis concepts using software. It further addresses the design intricacies of the superstructure, substructure, and foundations of metro viaducts. Additionally, the module introduces the learners to modeling software specific to metro rails, providing a comprehensive overview of tools essential for effective design and analysis in the field.
The third module on underground stations- Earth retaining structures encompasses the elements comprising an underground metro station, its configuration and different earth retaining systems used in underground metros.
The fourth module focusing on Underground Metro Stations analysis involves the exploration of Indian codes of practice governing the design of metro components and the evaluation of loads impacting underground stations.
The fifth module centered on the design of underground stations includes considerations of SOD restrictions and the sizing of elements for underground stations. It encompasses the modeling of underground stations using software and the design of station components in accordance with the relevant code of practice. This module focuses on elevated metro stations, encompassing a detailed examination of station components, loads exerted on the station, modeling, and analysis concepts utilizing software. Learners will gain insights into the intricacies of designing station components, emphasizing practical applications and the utilization of software for effective modeling and analysis in the metro station design process. 14 videos1 assignment This module delves into the elements of elevated viaducts, exploring topics such as Indian codes of practice governing metro viaducts, the various loads acting on these structures, and the application of modeling and analysis concepts using software. It further addresses the design intricacies of the superstructure, substructure, and foundations of metro viaducts. Additionally, the module introduces the learners to modeling software specific to metro rails, providing a comprehensive overview of tools essential for effective design and analysis in the field. 9 videos1 assignment This module on underground stations- Earth retaining structures encompasses the elements comprising an underground metro station, its configuration and different earth retaining systems used in underground metros. It also includes the design and analysis of diaphragm walls using specialized software. 14 videos1 assignment The module focusing on Underground Metro Stations analysis involves the exploration of Indian codes of practice governing the design of metro components and the evaluation of loads impacting underground stations. It also includes outline of the software used in the analysis of underground metro station 10 videos1 assignment The module centered on the design of underground stations includes considerations of SOD restrictions and the sizing of elements for underground stations. It encompasses the modeling of underground stations using software and the design of station components in accordance with the relevant code of practice. 8 videos1 assignment | 5 modules | Intermediate level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/design-concepts-in-metro-rails | null |
6,258 | Managing as a Coach | 63,500 | 4.8 | 2,109 | Kris Plachy | University of California, Davis | ['Active Listening', 'Communication', 'Management', 'Coaching'] | Do you (or do you want to) manage employees? Have you ever wondered how to get better performance out of those you manage? Are you unsure if you are communicating effectively with your employees? If you answered “yes” to any of these questions, then this course – and its associated specialization – is for you! Leadership and management responsibilities have changed dramatically, particularly in the last decade. In order to be an effective manager in increasingly fast-paced and complex organizational environments, coaching has become essential.
In this course, you will learn what coaching is and learn how to differentiate between it and all of the other myriad roles managers are expected to perform – managing, mentoring, leading, and training. You’ll learn about the importance of strong leadership and learn to describe your current point of view as a leader, and evaluate when to adjust your thinking in order to be more effective in managing and leading in a rapidly evolving workplace.
And finally, you’ll be introduced to the Thought Model, a coaching technique you can use to develop better thinkers and better performers. So if you’re ready to learn all about how to be a more effective and valued manager using coaching techniques, join us as we explore more successful managing through coaching! This module defines coaching as well as the 4 other roles modern managers are expected to play in their organizations: leader, manager, mentor, and trainer. Many examples are provided to help illustrate each role and common pitfalls associated with the overuse of each role will be covered. The module wraps up with a comparison of all the roles managers have and then asks you to identify and explain why you would go to one role over another in particular situations. 8 videos3 readings1 assignment1 discussion prompt This module covers the many influences on the manager role and how managing and coaching should work together. We'll also discuss why managers are necessary to organizations, and why so many managers don't coach. This module features a great reading on the importance of managers to Google and wraps up with another quiz to check your understanding of the material. 5 videos2 readings1 assignment1 discussion prompt This module is all about exploring how your life experiences influence your management approach. In lesson 3, you'll learn how to differentiate between facts about experiences in your life and the stories you tell yourself about those facts, identify your own point of view in a situation, and analyze how that may influence decisions you make. And in lesson 4, we'll discuss the interrelationship between point of view and belief systems and introduce you to the Thought Model. 9 videos3 readings3 assignments1 discussion prompt Now that you're familiar with the Thought Model, this final module is devoted to you practicing how to use the Thought Model in the final course peer review. This activity asks you to reflect on everything you've learned in the course and apply the Thought Model to a situation occurring in your life. 3 videos1 reading1 peer review1 discussion prompt | 4 modules | null | 12 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/managing-as-a-coach | 98% |
6,259 | Anatomy of the Abdomen and Pelvis; a journey from basis to clinic. | 65,255 | 4.8 | 454 | Marco De Ruiter, PhD | Universiteit Leiden | ['Anatomy'] | In this anatomy course you will explore the organs involved in our food digestion and discover the common causes of abdominal and pelvic pain. The latest graphics and animations will help you to find new insights and understanding of this part of the body, that has been the focus of anatomical research for centuries and presently arouses renewed scientific interest. You will explore the 3D anatomy of the organs from a basic level, providing thorough anatomical understanding, to its advanced application in surgical procedures. This course will challenge you to discover and help you to understand the anatomy of the abdomen and pelvis in all its aspects, ranging from its embryological underpinnings, via digital microscopy to gross topography and its clinical applications.
The course is unique in that it continuously connects basic anatomical knowledge from the lab with its medical applications and current diagnostic techniques. You’ll get the chance to discuss anatomical and clinical problems with peers and experts in forum discussions and you will receive guidance in exploring the wealth of anatomical information that has been gathered over the centuries. Follow us on an exciting journey through the abdomen and pelvis where you digest your food but also where new life starts! This course is about Anatomy of the Abdomen and Pelvis. Before you dive into the content however, we invite you to read this introduction so you can improve your study success. We hope you enjoy learning in this course. 3 videos2 readings1 discussion prompt1 plugin Welcome to the first week of the course. Have you ever wondered what lies inside your abdomen? Do you know where the spleen or appendix is situated? Would you like to know how the physician looks at it and get the basics of a physical examination of the abdomen? Do you want to understand how all these structures can be seen on scans or X-rays? During this week you will get a better understanding of these things. We also lay the foundation for the following weeks of the course, like basic things to know about vascularization, the nervous system, embryology, and the wonderful membrane holding all these structures together: the peritoneum. 9 videos4 readings6 assignments1 discussion prompt After the first introduction of the abdomen with all its organs, this week we will focus at some microscopy and the first stages of gut development in the embryo. The gut starts as a simple straight tube which differentiates further into a internalized tract with specialized sections, each with its own function. You will learn how the esophagus transports your food, while its lower sphincter prevents food from returning - even if you're upside down! Then you will focus on how the stomach drenches all food in an extremely acid pool, attacking ingested bacteria and starting the digestion. That same acid would also damage the duodenum, so protective action is required. You will follow the digestion further down the tract, with its extensive folds and specialized cells and end up with more and more solid bowel contents when water is extracted in the colon. In order to demonstrate some functions further, we also have to dive into the world of microscopy. Join us on this trip into the gut with all its ingenious structural specializations along the way! 10 videos9 readings4 assignments2 discussion prompts We discussed some microscopy before and the embryonic origin of the initial gut tube and how it differentiates into specialized sections for digestion. We will now focus on the question why the bowels are not arranged symmetrically left and right, like in the rest of our body, but are closely encircling and crossing over each other. With a unique 3D animation you will learn about the rotation of the gut during development. This key concept will help you to understand the anatomical relationships of the gut with its suppliers and purchasers. The gut cannot do it alone; it needs additional organs which supply digestive chemicals such as enzymes and bile and organs that process the absorbed food further. Both the gut and these organs also need a blood supply. You will learn where their blood vessels are situated. Also, the less prominent, but very important 'sewage' system, the lymphatics, will be dealt with. In the gut area, the lymphatics are specialized in transporting fats that are absorbed from the food! Lymphatic vessels also keep an eye on pathological invaders. Unfortunately they may also spread tumor cells. In short, this week's module is for everyone who is interested in the collaboration between the abdominal organs and the gut. 10 videos7 readings5 assignments You have already learned that the bowels are not arranged symmetrically left and right. The rotation processes of the gut and its suppliers have important consequences for the peritoneal coverings of the gut and the abdominal wall. It determines why some structures lie easily accessible in the abdomen and others are more hidden away. In this week you will get a grip on difficult concepts as 'intraperitoneal' and 'retroperitoneal'. It is also a starter week about abdominal surgery. You will also learn a secret: The best way to mobilize the abdominal and pelvic organs is to separate what got adhered when the patient was just an embryo! Please feel free to dive into these embryonic matters and enjoy all the twists and turns! 13 videos1 reading4 assignments The abdominal body wall and the pelvis are the topics of this week. What happens if you push hard to pass a stool, or in reverse, how do you prevent unwantedly passing a stool when you sneeze or cough hard? It may not seem the most attractive area of the body, but the rectum and anus hold many intricacies and even nowadays new things are discovered! Weak areas in the body wall are a frequent cause of problems, for instance they can lead to inguinal hernias. You will learn about their complicated anatomy. And finally, we will dive deep in the pelvis and learn about its hidden gems: the internal genitals. 19 videos5 readings8 assignments2 discussion prompts1 plugin The course comes to an end with this last topic: Pain in my belly! Probably all of us have experienced abdominal pains and have witnessed its many different forms. Sometimes it can just be a slight discomfort, or it can come in waves of agony. The aches can develop gradually over several days, or strike suddenly as severe abdominal pain. In many cases the patient cannot easily locate the pain. Even shoulder pain can be caused by something going on in the abdomen! Abdominal pain is one of the most frequent reasons to seek medical attention. However, diagnosing the cause of the pain can be very difficult. Many different diseases may cause abdominal pain. Many of those do not require immediate treatment, yet others are life-threatening. The challenge is to correctly identify those dangerous cases that require prompt surgical intervention. You will learn the anatomical basis of pain and how to apply this knowledge in the diagnostic process. We will wrap up with an overview of several abdominal diseases that might all present themselves with pain. 11 videos5 readings6 assignments1 discussion prompt 1 assignment | 8 modules | null | 42 hours to complete (3 weeks at 14 hours a week) | https://www.coursera.org/learn/abdomen-anatomy | 97% |
6,260 | GenAI for UX Designers | Enrollment number not found | Rating not found | null | Karlis Zars | Coursera Instructor Network | ['Productivity Enhancement', 'User Experience (UX) Design', 'UI/UX Design Systems', 'Problem-Solving with GenAI', 'UI/UX Design Patterns'] | "GenAI for UX Designers" is a comprehensive exploration of how Generative Artificial Intelligence (GenAI) is transforming the field of user experience (UX) design. This course will guide you through the key capabilities of GenAI and provide practical strategies to leverage these powerful tools in your daily tasks. Through discussions, video demos, guided hands-on activities, and readings, you will understand how GenAI can enhance productivity in designing user interfaces, creating user personas, and performing usability testing. This course is designed for UX designers, user interface designers, and team leads who are looking to enhance their workflows and boost productivity by incorporating GenAI-powered tools and techniques into their daily tasks. It is also ideal for aspiring UX designers who want to future-proof their skills and gain a competitive edge by mastering the integration of GenAI in UX design.
To make the most of this course, you should have familiarity with fundamental UX design concepts and workflows, including user research, wireframing, prototyping, and usability testing. Experience with UX design tools (e.g., Sketch, Figma, Adobe XD) and a basic knowledge of design principles and user psychology are also recommended.
By the end of this course, you will be equipped with the knowledge and skills to harness the transformative potential of GenAI to enhance your productivity and creativity. This course will guide learners through the key capabilities of GenAI and provide practical strategies to leverage these powerful tools in their daily tasks. Through discussions, video demos, guided hands-on activities, and readings, learners will understand how GenAI can enhance productivity in designing user interfaces, creating user personas, and performing usability testing. 6 videos5 readings1 assignment1 peer review | 1 module | Beginner level | 2 hours to complete | https://www.coursera.org/learn/genai-for-ux-designers | null |
6,261 | Generative AI: Unleash Your Project Management Potential | Enrollment number not found | 4.3 | 25 | Daniel C. Yeomans | SkillUp EdTech | ['Prompts', 'Idea generation', 'Generative AI', 'Generative AI Tools', 'Project Management lifecycle'] | By 2030, 80 percent of project management work will be done by AI (Gartner), enabling project managers to boost efficiency by automating tasks, generating insights from vast data sets, and speeding up tasks. This course gives existing and aspiring project managers the job-ready skills in gen AI tools needed to significantly enhance their effectiveness. During the course, you ’ll explore how to use gen AI techniques and tools such as ChatGPT, Copilot, Gemini, and DALL-E throughout the project management lifecycle. You’ll also learn about the challenges and ethical considerations of using gen AI in project management.
Through hands-on labs, you’ll get valuable practical experience using ChatGPT and other gen AI tools. You’ll work on a Project Charter and Work Breakdown Structure (WBS), and you’ll summarize documents. Plus, you’ll complete a project to assess how gen AI can be leveraged in a project.
If you’re a project manager, project coordinator, scrum master, or other related professional looking to harness the power of gen AI, this course will give you the job-ready skills you need to leap ahead.
Enroll today and boost your project management career with skills employers want. In this module, you will learn how AI is rapidly evolving in the world of project management. AI is significantly transforming the landscape of project management. Most project managers are using generative AI to improve project management effectiveness. You will learn how AI tools and techniques have improved project management tasks' streamlining, idea generation, and overall efficiency. 11 videos2 readings3 assignments1 discussion prompt8 plugins In this module, you will gain the essential skills to use generative AI tools for project management effectively. Additionally, you will explore and gain hands-on experience with some popular AI tools employed by project managers. The module will also discuss challenges and ethical dilemmas you may face when using generative AI. Finally, you will learn about the best practices for implementing AI in a manner that ensures transparency and fairness. 7 videos1 reading3 assignments1 discussion prompt6 plugins In this module, you will showcase your project management skills. Our primary course instructor, Daniel Yeomans, will provide an overview of the key course highlights and takeaways. Additionally, you will get an opportunity to work on a practical project scenario. The module will provide a case study and guide you in applying Generative AI to create essential project documents. You will also receive a "prompt cheat sheet" for project management process groups. The module concludes by congratulating you for the next steps for your career and a thank you from our development team. 1 video2 readings1 assignment2 plugins | 3 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/generative-ai-unleash-your-project-management-potential | null |
6,262 | Chatbots for Beginners: A Complete Guide to Build Chatbots | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['Amazon Lambda', 'Deep Learning', 'Machine Learning', 'Amazon Lex', 'Chatbot'] | Embark on a journey to master chatbot development with this detailed course designed for beginners. Starting with an introduction to chatbots, you’ll learn their history, applications, and benefits. Understand the differences between rule-based and self-learning chatbots, and explore their mechanisms and challenges. Dive into machine learning-based chatbots, exploring the Natural Language Toolkit (NLTK) and developing a rule-based chatbot. Progress to advanced concepts with deep learning, including generative and retrieval chatbots. Develop chatbots using TensorFlow, Keras, and other powerful tools.
The course also covers chatbot development with Amazon Lex, guiding you through creating, integrating, and deploying chatbots using AWS services. Learn to connect chatbots with Lambda, Twilio, and other platforms to enhance functionality and user experience.
By the end of this course, you’ll have the expertise to build sophisticated chatbots, ready to implement in various industries and applications.
This course is perfect for beginners, software developers, and tech enthusiasts interested in learning how to build intelligent chatbots. No prior experience in chatbot development is necessary. In this module, we will lay the groundwork for the course by introducing the objectives, the instructor, and the fundamental concepts of AI sciences. You'll get a clear understanding of the different types of chatbots, including those based on machine learning and deep learning, and explore the tools used for building chatbots, with a specific focus on Amazon Lex. 7 videos1 reading In this module, we will delve into the fundamentals of chatbots, covering their history, applications, and the various types, including rule-based and self-learning chatbots. We will also explore the architecture of machine learning-based chatbots and their revolutionary features. By the end of this module, you will gain hands-on experience in developing a conversational chatbot using Python, focusing on data input, text processing, and response generation. 39 videos In this module, we will explore the advanced concepts of chatbot development using deep learning. You will learn the differences between conventional and AI chatbots, as well as the distinctions between generative and retrieval chatbots. We will discuss the benefits of deep learning chatbots in fields such as medicine, business, and e-commerce. This module will also guide you through the architecture and development of deep learning-based chatbots, including steps for data preparation, vocabulary development, and model training. By the end of this module, you will have the skills to build and test a sophisticated deep learning chatbot using Python. 24 videos In this module, we will cover the fundamentals of AWS and its services, focusing on Amazon Lex for chatbot development. You will gain an in-depth understanding of the features and benefits of using Amazon Lex. The module will guide you through the step-by-step process of developing a chatbot with Amazon Lex and AWS Lambda, including creating intents, utterances, and slots. We will also cover integration with Twilio for deployment on WhatsApp and using Boto for advanced responses. By the end of this module, you will be able to build, test, and deploy a complete chatbot with enhanced user experiences. 31 videos1 assignment | 4 modules | Intermediate level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/packt-chatbots-for-beginners-a-complete-guide-to-build-chatbots-d4pcg | null |
6,263 | U.S. Health Law Fundamentals | 10,322 | 4.9 | 233 | Theodore Ruger | University of Pennsylvania | ['Healthcare Management', 'Health Insurance', 'Affordable Care Act', 'Health Policy Analysis'] | This course explores how statutes, regulations, common law, and market forces help or hinder three major goals of policy makers: increasing access, reducing cost, and improving quality. We will examine the Supreme Court’s rulings on the ACA and other legal aspects of modern health care reform. Learners who successfully complete this course will be able to describe the laws, regulations, common law and market forces that shape our health care system and identify areas where ideas and innovation are needed; explain the malpractice system and how it influences medical practice; and analyze legal aspects of the ACA. This introductory module begins with an overview of the U.S. legal system as context for the complex patchwork that is U.S. health law. We then look in detail at how administrative law functions to regulate modern medical care. Then we take a close look at our first specific law - EMTALA, which guarantees screening and stabilization in emergency situations. 6 videos3 readings1 assignment2 discussion prompts The second module closely examines the doctor-patient relationship: how it is formed, terminated, and in some cases, abandoned. We then examine the rise of conscientious objection as a right of medical providers. 4 videos3 readings1 assignment1 discussion prompt This module explores the various mechanisms in place to ensure quality control in the U.S. healthcare system, including licensure and accreditation as a preventative measure, and tort law and liability as a remedial measure. 5 videos2 readings1 assignment1 discussion prompt This final module focuses on the role of the federal government in administering Medicare and Medicaid as well as the effects of the recently passed Affordable Care Act. 5 videos3 readings1 assignment | 4 modules | Beginner level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/health-law-fundamentals | null |
6,264 | Introduction to Machine Learning | 214,282 | 4.7 | 3,616 | Lawrence Carin | Duke University | ['Convolutional Neural Network', 'Python Programming', 'Machine Learning', 'pytorch', 'Natural Language Processing'] | This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more). The focus of this module is to introduce the concepts of machine learning with as little mathematics as possible. We will introduce basic concepts in machine learning, including logistic regression, a simple but widely employed machine learning (ML) method. Also covered is multilayered perceptron (MLP), a fundamental neural network. The concept of deep learning is discussed, and also related to simpler models. 23 videos2 readings10 assignments3 ungraded labs In this module we will be discussing the mathematical basis of learning deep networks. We’ll first work through how we define the issue of learning deep networks as a minimization problem of a mathematical function. After defining our mathematical goal, we will introduce validation methods to estimate real-world performance of the learned deep networks. We will then discuss how gradient descent, a classical technique in optimization, can be used to achieve this mathematical goal. Finally, we will discuss both why and how stochastic gradient descent is used in practice to learn deep networks. 6 videos3 assignments2 ungraded labs This week will cover model training, as well as transfer learning and fine-tuning. In addition to learning the fundamentals of a CNN and how it is applied, careful discussion is provided on the intuition of the CNN, with the goal of providing a conceptual understanding. 8 videos4 assignments2 ungraded labs This week will cover the application of neural networks to natural language processing (NLP), from simple neural models to the more complex. The fundamental concept of word embeddings is discussed, as well as how such methods are employed within model learning and usage for several NLP applications. A wide range of neural NLP models are also discussed, including recurrent neural networks, and specifically long short-term memory (LSTM) models. 13 videos4 assignments2 ungraded labs This week we'll cover an Introduction to the Transformer Network, a deep machine learning model designed to be more flexible and robust than Recurrent Neural Network (RNN). We'll start by reviewing several machine learning building blocks of a Transformer Network: the Inner products of word vectors, attention mechanisms, and sequence-to-sequence encoders and decoders. Then, we'll put all of these components together to explore the complete Transformer Network. 12 videos This week will cover Reinforcement Learning, a fundamental concept in machine learning that is concerned with taking suitable actions to maximize rewards in a particular situation. After learning the initial steps of Reinforcement Learning, we'll move to Q Learning, as well as Deep Q Learning. We'll discuss the difference between the concepts of Exploration and Exploitation and why they are important. 10 videos3 assignments2 ungraded labs | 6 modules | Intermediate level | null | https://www.coursera.org/learn/machine-learning-duke | 97% |
6,265 | Positive Psychiatry and Mental Health | 290,153 | 4.8 | 3,642 | Sonia Kumar | The University of Sydney | [] | In today’s world, mental illness and distress are common and these account for a significant burden of disability within our community. At the same time, there is a growing interest in understanding and enhancing positive mental health and wellbeing; particularly from developments in the fields of positive psychology and mental health promotion. Positive Psychiatry is a new term (Jeste et al 2016) that describes a dual approach to mental health, where we build strengths, supports and healthy lifestyles as well as treating illness and distress. In this course, we will explore different aspects of good mental health as well as provide an overview of the major kinds of mental disorders, their causes, treatments and how to seek help and support. The course will feature a large number of Australian experts in psychiatry, psychology and mental health research, and we will also hear from “lived experience experts”, people who have lived with mental illness, and share their personal stories of recovery.
We take an evidence-based approach to a range of strategies that anyone can use to enhance their own mental health and that of others, from exercise and relaxation techniques through to the role of love, relationships and 'good' types of work. We cover topics from creativity and yoga through to psychiatric medications and psychotherapies. Welcome to the MOOC! Get yourself acquainted. This module is about positive mental health, stress and recovery, and some of the important findings from Aristotle through to recent research on the correlates to happiness. 8 videos8 readings1 assignment1 app item This module is about the body and mind. We will learn about the central importance of physical health and lifestyle, and how exercise can be used as an evidence-based treatment for common mental health conditions. We will cover basic relaxation and mindfulness strategies, as well as personality strengths, and how to identify your own strengths. 9 videos9 readings1 peer review1 app item Mental health has sometimes been described simply as the capacity to love and to work. Psychiatry still uses similar concepts today. In this module, we talk about love and work, and introduce the complementary ideas of rest and play. We hear about attachment theory, social connections and the ancient wisdom of Australian Aboriginal views on wellbeing. We discuss the importance of contributing and here you find out whether or not work is good for you. 9 videos7 readings1 peer review In this module, we cover the major categories of mental illness: their symptoms, causes and treatments. This includes the more common conditions such as anxiety, depression and addictions, as well as less common mental illnesses such as psychosis, schizophrenia and bipolar disorder. 10 videos11 readings1 peer review1 app item In this module, we will detail some of the many paths to recovery. From early intervention through the philosophy of personal recovery, consumer support networks, creative arts as therapy as well as spiritual and religious practices. 10 videos3 readings1 assignment1 app item | 5 modules | null | 19 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/positive-psychiatry | 98% |
6,266 | Digital Footprint | 23,854 | 4.6 | 640 | Dr Louise Connelly | The University of Edinburgh | ['Digital Footprint', 'E-Professional', 'Social Media', 'Privacy'] | If I Googled you, what would I find? As we move around the online world we leave tracks and traces of our activity all the time: social media accounts, tagged images, professional presences, scraps of text, but also many artefacts we don't always realise we are leaving behind, or that others leave about us.
In this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. We will introduce you to some of the tools and approaches to effectively manage your online presence (or digital footprint).
The course will focus on the different dimensions of a digital footprint, including developing an effective online presence, managing your privacy, creating opportunities for networking, balancing and managing professional and personal presences (eprofessionalism). By the end of this course (MOOC) you should be equipped to ensure that your digital footprint works for you, whether you want to be more private online, or are looking to create a more effective and impactful presence.
You can also join the conversation on Twitter using the hashtag #DFMOOC and follow us @DFMOOC
We hope you enjoy the course! In week 1 we provide information on how to engage with the course as well as our Twitter account, using #DFMOOC. This week, we will introduce you to the topic of Digital Footprint. There are a range of activities, videos and resources for you to work through. By the end of week 1, you will have the opportunity to critically reflect on your own online presence and consider how you can make better informed choices as well as setting appropriate personal goals around your digital footprint. 8 videos5 readings3 assignments This week, there is a range of experts who focus on why a digital footprint matters and how to create an effective online presence. The themes explored include data after death, privacy online and managing your online data. The activity and quizzes will help you to consider your own online presence and what you might do to make it more effective and work for you! 17 videos5 readings2 assignments1 peer review This week, we examine the idea of a professional online presence and what this might mean for different people and professions. Understanding whether your personal and professional online presence should blur or be kept separate can be a challenge. We will hear from experts in Business, Nursing, Science, Education, and a Careers Consultant. They will provide useful advice on what you can do to make your online presence more professional and potentially help you with finding a job, standing out from the crowd, complying with professional bodies' guidelines, and much more. The activities, including the quizzes and peer assessment will help you to reflect on your own online presence. There will also be an opportunity to get advice from your peers and consider putting into action what you have learned during this course. 13 videos6 readings1 assignment | 3 modules | Beginner level | null | https://www.coursera.org/learn/digital-footprint | 98% |
6,267 | From Freedom Rides to Ferguson: Narratives of Nonviolence in the American Civil Rights Movement | 16,127 | 4.8 | 315 | Bernard LaFayette, Jr. | Emory University | [] | The Modern Civil Rights Movement is a significant landmark in United States history. This movement was a struggle for human rights directly challenging the nation to extend its democratic principles to African Americans and all peoples. This course sheds light on the often overlooked strategic planning that supported the direction of the events and is told by a voice intimately involved in the organization of movement—Dr. Bernard LaFayette, Jr. Topics include the history of the campaigns, the different coalitions and groups, philosophy and methods of nonviolent direct action, and the contemporary application of nonviolent conflict transformation. The course hosts several guest speakers, including Andrew Young, Reverend C.T. Vivian, Henry "Hank" Thomas, and Constance Curry. Upon completion of this course, learners will be able to:
● Discuss the contributions and involvement of civil rights activists and leaders in the Civil Rights Movement (CRM) campaigns in the United States.
● Examine the chronology and phases of the Movement and CRM campaigns.
● Recognize and characterize the diverse activist groups involved in the CRM.
● Discuss Martin Luther King Jr.’s philosophy of nonviolence from a historical perspective.
● List and define the principles and strategies of nonviolence.
● Examine organizational and social change applications related to nonviolence.
● Identify the role of nonviolence in modern activism along with additional resources to broaden knowledge of principles of nonviolence.
● Recognize the application of nonviolence theories to activism, current issues, and everyday life. Upon completion of this module, learners will be able to: 1) discuss the contributions and involvement of civil rights activists and leaders in the Civil Rights Movement (CRM) campaigns in the United States, and 2) examine the chronology and phases of the Movement and CRM campaigns. 14 videos5 readings1 assignment Upon completion of this module, learners will be able to: 1) list the major groups of the American Civil Rights Movement, 2) discuss the impact of CRM groups, 3) discuss the importance of having multiple groups involved in the CRM, and 4) analyze the importance of strategy in organizing groups. 16 videos2 readings1 assignment Upon completion of this module, learners will be able to: 1) list and define the six principles of nonviolence, 2) identify the six strategies of nonviolence, and 3) analyze the social dynamics of nonviolence. 11 videos2 readings2 assignments Upon completion of this module, learners will be able to: 1) describe the various applications of nonviolence, 2) outline the academic foundations of nonviolence, and 3) define and discuss social action. 8 videos2 readings1 assignment Upon completion of this module, learners will be able to: 1) recognize current nonviolence initiatives involving Dr. LaFayette, 2) examine the work of Emory University's Center for Advancing Nonviolence (ECAN), 3) differentiate between the various modern applications of nonviolence, and 4) assess the future of nonviolence and education for change. 8 videos2 readings | 5 modules | null | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/nonviolence | 99% |
6,268 | ELL Success in the Content Classroom: Teacher Toolbox Series Specialization | 4,491 | 4.6 | 171 | Claire McLaughlin | Arizona State University | [] | This Specialization covers lesson planning and assessing with the ELL in mind as well as engaging the ELL student and their families in the school and community. In the final Capstone Project, you’ll apply the skills you learned by creating an annotated lesson plan and assessment with appropriate modifications for the ELL students. You will also develop a bank of resources for engaging the ELL in your school and community. In this course you will learn how to design lesson plans around the needs of your ELL students and their language level through the analysis of content language and cognitive demands. You will learn how to align language objectives to the adopted standards of your school and content area. You will learn how to modify existing course materials as well as develop graphic organizers and languages frames to support ELLs’ access to content. Analysis of second language acquisition theories will be applied to lesson planning. Upon completing this course, you will be able to:
* Conceptualize theories of second language acquisition as they apply to the planning of lessons through annotation
* Assess the linguistic needs of your students using BICS and CALP
* Identify content specific vocabulary, grammatical structures, and language functions necessary for a student to succeed in your
classroom
* Write language learning outcomes that align to your student’s linguistic and cognitive ability and your school’s adopted
standards
* Adapt a lesson plan that accomplishes the learning outcomes outlined in the lesson objectives
* Modify materials to support ELLs’ access to content
* Use a wide variety of graphic organizer templates and language frames to support ELLs’ access to content
* Develop activity types appropriate to the cognitive and linguistic abilities of ELLs
* Incorporate community and culture into lesson planning In this course, you will learn how to design assessments around the needs of your ELL students and their language level. You will learn how to incorporate language and content requirements for both formative and summative assessment types. You will learn to assess your ELL students through the use of project and task-based assignments. You will learn to use and modify rubrics to align to and measure student achievement of your language and content learning objectives. The course will also briefly cover strategies for supporting ELL students during standardized testing. Upon completing this course, you will be able to:
* Conceptualize theories of authentic assessment as they apply to second language learners
* Design formative assessment types incorporating language and content objectives
* Design summative assessment types incorporating language and content objectives
* Incorporate project and task-based assignments as assessment tools for ELLs
* Design rubrics that align to language and content objectives for your ELL(s)
* Apply the use of rubrics, both language and content, to the work of your ELL(s).
* Support your ELL(s) as they participate in standardized testing In this course, you will learn how to better and more successfully engage your ELL(s) and their families in the school and community. You will learn how to engage your ELL student in the classroom setting as well as in various aspects of the school including extracurricular activities and the inner workings of the school and education system. You will also be introduced to strategies for engaging the families of your ELL students in the school community and the wider community of your city and state. You will interact with a variety of case studies that highlight teachers, schools, and communities in different cities throughout the United States and the ways in which they successfully engage ELLs and their families. From sharing their experience, you will have the tools necessary to implement strategies and procedures for engaging your ELLs and their families. Upon completing this course, you will be able to:
* Define the culture of ELLs in K-12 classrooms across the U.S.
* Recognize cultural impact on learning and formal education
* Assess your school’s engagement of ELLs and their families
* Incorporate culturally sensitive techniques to engage ELLs in the classroom and school
* Implement strategies for engaging ELLs’ families in the school and larger community
* Design a plan for engagement of ELLs and their families in your school
* Create a checklist for school and community resources for engaging ELLs and
their families As teachers, it is so important to have a plethora of resources to draw upon for modification for specific students and classroom contexts. In this capstone project, you are tasked with applying the concepts learned throughout the specialization, to create your own toolbox designed with the ELL in Mind. In this two-part capstone, you will first create an annotated lesson plan comprising both formative and summative assessments. The lesson plan will include any modified materials for ELLs such as graphic organizers or writing frames pertinent to the lesson's activities. The annotation will include a rationale for lesson elements based on information presented in Lesson Planning with the ELL in Mind and Assessing Achievement with the ELL in Mind.
Second, you will use your checklist of resources, personalized to your school and community, to create an engagement plan of action. This should include specific milestones for creating a more engaging environment for your students and their families. You will also include a rationale for elements of engagement based on information presented in Engaging the ELL and Their Families in the School and Community.
In this capstone, you will create a personalized toolbox for ELL success in the content classroom.
This toolbox will include:
* Annotated Lesson Plan
- Modified Materials
- Formative and Summative Assessment
- Lesson Plan and Materials Rationale
* Engagement Action Plan and Rationale
The materials created in this project should be immediately useful in your classroom. Your capstone project should be tailored to your teaching context, content area, and students.
By the end of this course, you will be able to:
* Design a lesson plan with attention to the needs of your ELLs
* Create appropriate modified materials to support your ELLs
* Create formative and summative assessments to measure both content mastery and language development as specified by
your lesson plan's learning and language objectives
* Rationalize your application of selected methodologies
* Create and implement an engagement action plan specified for your teaching context | 4 course series | Intermediate level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/ell-teaching | null |
6,269 | Enhance your Writing with Adverb Clauses | 9,470 | 4.8 | 54 | Meg Parker | University of California, Irvine | [] | If you struggle to express complex ideas in English, don’t worry! This course will lead you step-by-step on your journey to more advanced writing. In the first part of the course, you’ll learn some basic information about adverb clauses. Then, we’ll dive into the categories of ideas that adverb clauses express, and you’ll practice using subordinating conjunctions--the many grammar words that start adverb clauses. At the end of the course, you’ll learn how to use varied types of sentences in your writing, and you’ll show off all that you’ve learned by writing a paragraph. We’ll compare this final paragraph with one that you’ll write at the beginning of the course, and you’ll see the difference that adverb clauses can make. This week, before you start learning about adverb clauses, you’ll write a paragraph. Why? Because at the end of the course, you’re going to compare what you can write now with what you’ll be able to write then--after you’ve learned about adverb clauses.
After writing, you’ll start learning new lessons. You’ll learn how to identify adverb clauses, to create sentences with them, and to punctuate them correctly with commas. For each lesson, you’ll learn from some videos, practice exercises on your own, and take a quiz to check your understanding.
Are you ready? There’s a lot to learn, so let’s get started! 9 videos3 readings3 assignments1 discussion prompt Welcome to Week 2! This week, we’ll examine some common connecting words called subordinating conjunctions. We’ll specifically focus on conjunctions of time, place, cause, and contrast. You’ll watch lesson videos and videos that give you guided practice with using these types of adverb clauses correctly. At each step, you’ll practice on your own, check your answers, and complete quizzes to test your knowledge. Finally, you’ll apply what you learned by writing complex sentences with adverb clauses.
We’ll go step-by-step so that you can feel confident using new adverb clauses. Let’s get started! 5 videos2 readings2 assignments1 discussion prompt This week, we’ll continue in our exploration of the meaning and use of adverb clauses. First, we’ll learn about clauses of condition, which are very common in the everyday language of fluent English speakers. After conditional clauses, you’ll learn about common mistakes with adverb clauses, and this knowledge will help you to check and edit your own writing when you write conditional sentences in a discussion post. By the end of this week, you’ll have learned what you need to know in order to successfully write with adjective clauses in the last part of the course. Good luck! 4 videos2 readings2 assignments1 discussion prompt This week, we’ll focus more on writing. First, you’ll learn about writing with a variety of sentence structures. Then, you’ll write a paragraph about your routine--again! You did this in Week 1, but now, you’re going to show off everything you’ve learned about sentence types and adverb clauses. After writing, you’ll compare this week’s writing with Week 1’s writing, and you’ll be able to see how much more advanced your writing is now--thanks to adverb clauses. Finally, you’ll finish by evaluating another learner’s use of adverb clauses. You’ve worked hard, and now’s the time to see the results of your effort. Congratulations! 3 videos2 readings1 peer review1 discussion prompt | 4 modules | Intermediate level | 12 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/english-writing-grammar-adverb-clauses | null |
6,270 | American Politics, Foreign Policy, and US-India Ties Specialization | Enrollment number not found | 4.2 | 8 | Dr. Rajdeep Pakanati | O.P. Jindal Global University | ['analytical thinking', 'Political Knowledge', 'Cultural Awareness', 'analytical thinking', 'Political Knowledge', 'Cultural Awareness'] | This specialization is intended for people interested in politics and international affairs. You will learn about the United States and how its history, culture, politics, and foreign policy leave a significant impact on the world. You will also gain insights into US-India relations - which is the most important bilateral relationship among democracies of the world. Applied Learning Project Learners will be required to complete the formative assessments in each module, auto-graded quiz questions at the end of each week, and five discussion prompts, which will guide and support learning, deepen their understanding of new concepts, and measure their progress toward the learning objectives. Describe American polity, culture, and society in interdisciplinary and historically informed ways. Explain social factors like race, ethnicity, and gender in the US. Demonstrate interpretive and analytical arguments clearly through discussions. Describe the origins of United States Foreign Policy and how history, domestic institutions, and trade have defined it. Analyze American foreign policy and its impact on the world order. Demonstrate interpretive and analytical arguments clearly through discussions. Describe the scope and breadth of India-US relations focused on government-to-government interactions and through people-to-people contacts. Describe the nuances of US-India relations and the development of the relations over the years. Identify the multiple stakeholders in the India-US relationship—businesses, think tanks, academia, diaspora, popular culture, etc. Demonstrate interpretive and analytical arguments clearly through discussions. | 3 course series | Beginner level | 3 months (at 10 hours a week) | https://www.coursera.org/specializations/us-india-relations | null |
6,271 | Microsoft Azure Machine Learning | 15,713 | 4.4 | 203 | Microsoft | Microsoft | ['Artificial Intelligence (AI)', 'Microsoft Azure', 'Machine Learning'] | Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the second course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them.
This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this module, you'll learn how to identify different kinds of machine learning model and how to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model. 3 videos8 readings1 quiz2 assignments1 discussion prompt1 plugin Regression is a supervised machine learning technique used to predict numeric values. in this module, you will learn how to create regression models using Azure Machine Learning designer. 2 videos8 readings1 quiz2 assignments Classification is a supervised machine learning technique used to predict categories or classes. In this module, you will learn how to create classification models using Azure Machine Learning designer. 2 videos8 readings3 assignments Clustering is an unsupervised machine learning technique used to group similar entities based on their features. In this module, you will learn how to create clustering models using Azure Machine Learning designer. 2 videos9 readings3 assignments1 discussion prompt | 4 modules | Beginner level | null | https://www.coursera.org/learn/microsoft-azure-machine-learning | 81% |
6,272 | Advanced Microsoft Power BI | 3,654 | 4.2 | 30 | Edureka | Edureka | ['Creating Reports', 'Publishing Reports', 'Automated Machine Learning', 'Incident Reporting', 'Data Transformation'] | Welcome to Advanced Microsoft Power BI, where you'll embark on a journey to acquire practical expertise in data handling and machine learning which later used to harness the power of Microsoft Power BI for data visualization and decision making skills. Throughout this course, you'll explore the industry-specific applications of Power BI and use advanced Power BI features. By the end of this course, you will be able to:
1. Compose different data models by re-structuring the data
2. Interpreting Data models
3. Create dashboards and Publish them on Service
4. Demonstrate machine learning and advanced features in Power BI Service
5. Analyze the scorecard and results from the binary prediction model
This course is designed for a diverse audience: Freshers, Project managers, Business Analysts, and IT professionals who are looking to enhance their skills in Power BI.
Prior experience with MS Excel, RDBMS applications, Power BI and charts can be beneficial
Embark on an educational voyage to master Power BI and enhance your skills in creating efficient reports and dashboards within the Power BI ecosystem. Welcome to Advanced Microsoft Power BI. In this course, we will learn some advanced features of Power BI covering cognitive services and machine learning concepts. Create scorecards to manage and assign metrics with timelines to track them against key business objectives. 20 videos4 readings4 assignments4 discussion prompts | 1 module | Advanced level | 2 hours to complete | https://www.coursera.org/learn/advanced-microsoft-power-bi | null |
6,273 | High Stakes Leadership: Leading in Times of Crisis | 26,950 | 4.7 | 427 | Mike Barger | University of Michigan | ['Change Management', 'Communication', 'Strategy & Operation', 'Crisis leadership', 'Leadership & Management'] | This course has been designed to help leaders, like you, learn how to effectively navigate the challenges of significant organizational disruptions. As a participant in this course, you’ll discover why an understanding of various stakeholder perspectives can inform and dramatically improve a leader’s response to events that threaten an organization’s very survival. This course is also about understanding and developing individual and organizational resilience—the ability to anticipate potential threats; to cope effectively with adverse events when they occur; and to adapt to changing conditions, ensuring a viable path forward for yourself, your team, and your organization. These topics are particularly relevant in the wake of the global COVID-19 pandemic. Many course examples will reference lessons leaders around the world have learned during this far-reaching healthcare crisis. During the eight course modules, which are distributed over four weeks, participants will explore topics such as: Why the VUCA world is making crises more common; Characteristics of resilient organizations and ways to increase resilience; Stakeholder value propositions and how these are threatened during a crisis; Organizing frameworks for estimating the types of crises an organization might encounter; the Unique and challenging nature of the crisis environment; the Fundamentals of crisis leadership; and Building a plan to prepare yourself, your team, and your organization for your next major crisis—which, in today’s world, is not so much an “if”, as a “when”.
Professor Mike Barger, your faculty member for this course, has served as a TOPGUN instructor in the United States Navy and as a founder and executive at JetBlue Airways. His professional experience has helped him learn a great deal about crisis leadership and to gain a true sense of what it means to be resilient. Throughout the course, Professor Barger will draw upon many practical examples that will make the content of this course easy to appreciate, understand, and translate into practical lessons that you will be able to apply immediately at your organization.
Crisis leadership is a topic that’s exciting, daunting, and almost impossible to master. With some time and effort over the four weeks of the course, however, you can develop an exceptional set of crisis-leadership tools that will serve you well throughout your professional career. During the first course week, participants will gain an appreciation for the volatile, uncertain, complex, and ambiguous environment in which their businesses must operate and how these conditions have dramatically increased the likelihood of an organizational crisis. Participants will also gain a deep understanding of organizational stakeholders and how the perspectives of these stakeholders become vitally important frames of reference for leaders during a crisis. 13 videos16 readings1 assignment4 app items3 discussion prompts During the second week of the course, participants will learn how to increase their organization’s capacity for resilience, defined as the ability to anticipate potential threats; to cope effectively with adverse events when they occur; and to adapt to changing conditions, ensuring a viable path forward for everyone involved. Participants will also explore this week a model for understanding and predicting how stakeholders will respond to crises that threaten their value proposition with an enterprise. 16 videos15 readings2 assignments7 app items3 discussion prompts During the third course week, participants will examine a collection of different crisis types and how each type requires a unique response from crisis leaders. This week will also present a detailed look at the nature of the crisis environment, which will explain why crisis leadership is one of the most challenging aspects of any leader’s set of responsibilities. 14 videos11 readings1 assignment8 app items1 discussion prompt During the fourth and final week of the course, participants will explore the key characteristics of effective crisis leaders and how to effectively demonstrate leadership before, during, and after a crisis. Then, to bring the course to a close, participants will work through a collection of steps that will help them effectively prepare for their next inevitable crisis. 17 videos7 readings1 assignment11 app items1 discussion prompt | 4 modules | Intermediate level | null | https://www.coursera.org/learn/high-stakes-leadership | 99% |
6,274 | Business English: Management and Leadership | 77,914 | 4.7 | 1,442 | Wanda Huber | Arizona State University | ['Communication', 'English Language', 'Management', 'Writing', 'Meeting', 'Emailing'] | Are you a business executive or a manager who uses English in your career? Then you know that good business communication in English requires focus, vocabulary, and specific linguistic structures. In this course, you will follow along a recently promoted manager as she builds and leads her team to success. Together, you will practice the language and styles of communication needed in English for • Recruiting and training a professional team to work together with integrity and respect
• Managing and participating in well-organized meetings
• Making telephone conferences more efficient
• Writing professional emails that are easy to read
The activities in this course will give you the opportunity to share your experience and receive immediate feedback from other business professionals around the world. In this module, you’ll follow Elizabeth through the process of building her team. You’ll look at the way she communicates depending on the situation. From this observation, you’ll be better equipped to make requests using direct and indirect approaches. by analyzing her interactions with her team, her language choices, and the communication patterns she follows. Through the discussion boards and peer reviewed assignment you will synthesize your new skills in real life conversations and activities. 7 videos4 readings6 assignments2 peer reviews Effective business meetings require planning, leadership, and language skills and without these skills, meetings can be unproductive or even boring. Although this module covers topics related to meeting management, it’s definitely not boring because we we have Elizabeth and her team to guide us through the learning process. In this module, you’ll watch and learn from Elizabeth and her team. After completing Meeting Management, you’ll be able to plan and facilitate an effective meeting; summarize key points of an agenda item; and begin to develop strategies to help you to be better understood. 6 videos6 readings6 assignments1 peer review Interrupt with confidence, ask for clarification and get the answer you want; hold the floor and keep it: these are some of the skills you’ll learn and apply in Leading and Teaming. 6 videos7 readings5 assignments1 peer review Keeping the business or project running as projected requires planning. This requires information to be organized in convenient packages, like status reports and emails. Planning, Organizing, and Delegating focuses on the language of both. After completing this module, you’ll be able to use concise language to summarize key pieces of information into smaller packages. 7 videos5 readings6 assignments1 peer review Facilitating employee success is a management skill that can be even more challenging when communicating in a second language. After completing Managing and Coaching, you’ll be able to recognize the importance of active listening, use key phrases and language to facilitate the coaching and mentoring process. 6 videos4 readings6 assignments This module will help you to complete the panel discussion successfully. 2 videos1 reading1 assignment1 peer review | 6 modules | Intermediate level | null | https://www.coursera.org/learn/management-leadership-english | 98% |
6,275 | Introduction to Structured Query Language (SQL) | 230,903 | 4.8 | 5,388 | Charles Russell Severance | University of Michigan | ['Phpmyadmin', 'Relational Database', 'SQL', 'MySQL'] | In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses. Our first technical task is to work through the installation steps including installing a text editor, installing MAMP or XAMPP (or equivalent), creating a MySql Database. 5 videos5 readings1 app item1 discussion prompt We learn about single table queries and the basic syntax of the SQL language. 6 videos1 reading1 assignment1 app item Covering database design with multiple tables, foreign keys, and the JOIN operation.. 6 videos1 reading1 assignment1 app item We learn how to model many-to-many relationships like those needed to represent users, roles, and courses. 2 videos3 readings1 app item | 4 modules | Intermediate level | null | https://www.coursera.org/learn/intro-sql | 96% |
6,276 | Cannabis, Chronic Pain, and Related Disorders | 6,619 | 4.7 | 145 | Kent Hutchison | University of Colorado Boulder | ['psychology research', 'mood and anxiety disorders', 'cannabis and health', 'Chronic Pain Management', 'CBD and THC'] | This Cannabis, Chronic Pain, and Related Disorders course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of chronic pain, opioid use disorder, obesity, sleep dysfunction and cancer. We'll learn about the epidemiology and etiology of these conditions, the harms/benefits of current treatments, and learn how to evaluate the literature on cannabis for these conditions. We will discuss special considerations for using cannabis for these conditions, such as dose, timing, side effects, and drug interactions. Lastly, we'll discuss how it is being used in the context of palliative care. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products. In this module, we will review the different types of chronic pain. We will also discuss the costs and epidemiology of pain, as well as the current treatments used to treat pain. Lastly, it will cover the research on the effects of cannabis on chronic pain. 7 videos7 readings1 assignment In this module, we will review the symptoms and risk factors for Opioid Use Disorder (OUD). We will also discuss the costs and epidemiology of OUD, as well as the current treatments used to treat OUD. Lastly, it will cover the research on the effects of cannabis on OUD. 7 videos10 readings1 assignment In this module, we will review the symptoms and risk factors for obesity, type II diabetes, and sleep dysfunction. We will also discuss the costs and epidemiology of these conditions, as well as cover the research on the effects of cannabis on these conditions. 8 videos9 readings1 assignment1 peer review In this module, we will review the different types of cancer. We will also discuss the etiology and risk factors for cancer, as well as the common symptoms of cancer and cancer treatment. Lastly, it will cover the research on how cannabis may impact the symptoms of cancer. 7 videos5 readings1 assignment1 discussion prompt | 4 modules | Beginner level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/pain-cannabis-cbd-thc | null |
6,277 | Data Mining Specialization | 62,781 | 4.5 | 1,983 | John C. Hart | University of Illinois Urbana-Champaign | ['Data Clustering Algorithms', 'Text Mining', 'Data Visualization', 'Data Mining'] | The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the onlineMaster of Computer Science Degree in Data ScienceOpens in a new tab. You can apply to the degree program either before or after you begin the Specialization. This course will teach you how to make more effective visualizations of data. Not only will you gain deeper insight into the data, but you will also learn how to better communicate that insight to others. You will learn new ways to display data, applying some fundamental principles of design and human cognition to choose the most effective way to display different kinds of data. This course not only teaches you how to use popular applications like Tableau to connect to data warehouses to extract and visualize relevant data, but also teaches you how Tableau works so you can use the same techniques to make effective data visualizations on your own with any visualization system. Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text. This course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines. This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications. Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns. Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications. Note: You should complete all the other courses in this Specialization before beginning this course. This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the previous courses in the Specialization, including Pattern Discovery, Clustering, Text Retrieval, Text Mining, and Visualization, to solve interesting real-world data mining challenges. Specifically, you will work on a restaurant review data set from Yelp and use all the knowledge and skills you’ve learned from the previous courses to mine this data set to discover interesting and useful knowledge. The design of the Project emphasizes: 1) simulating the workflow of a data miner in a real job setting; 2) integrating different mining techniques covered in multiple individual courses; 3) experimenting with different ways to solve a problem to deepen your understanding of techniques; and 4) allowing you to propose and explore your own ideas creatively.
The goal of the Project is to analyze and mine a large Yelp review data set to discover useful knowledge to help people make decisions in dining. The project will include the following outputs:
1. Opinion visualization: explore and visualize the review content to understand what people have said in those reviews.
2. Cuisine map construction: mine the data set to understand the landscape of different types of cuisines and their similarities.
3. Discovery of popular dishes for a cuisine: mine the data set to discover the common/popular dishes of a particular cuisine.
4. Recommendation of restaurants to help people decide where to dine: mine the data set to rank restaurants for a specific dish and predict the hygiene condition of a restaurant.
From the perspective of users, a cuisine map can help them understand what cuisines are there and see the big picture of all kinds of cuisines and their relations. Once they decide what cuisine to try, they would be interested in knowing what the popular dishes of that cuisine are and decide what dishes to have. Finally, they will need to choose a restaurant. Thus, recommending restaurants based on a particular dish would be useful. Moreover, predicting the hygiene condition of a restaurant would also be helpful.
By working on these tasks, you will gain experience with a typical workflow in data mining that includes data preprocessing, data exploration, data analysis, improvement of analysis methods, and presentation of results. You will have an opportunity to combine multiple algorithms from different courses to complete a relatively complicated mining task and experiment with different ways to solve a problem to understand the best way to solve it. We will suggest specific approaches, but you are highly encouraged to explore your own ideas since open exploration is, by design, a goal of the Project.
You are required to submit a brief report for each of the tasks for peer grading. A final consolidated report is also required, which will be peer-graded. | 6 course series | Intermediate level | 3 months (at 10 hours a week) | https://www.coursera.org/specializations/data-mining | null |
6,278 | Airport Infrastructure | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['Plan layouts for smooth passenger flow and integrate essential services.', 'Conduct site surveys, allocate resources, and plan construction phases'] | The course provides a comprehensive understanding of the planning, design, and construction aspects of modern airports. It covers the fundamental concepts, regulations, and considerations involved in the development of airport facilities. It offers insights into airport master planning, airside works, terminal building planning, utilities, and the construction phases of runways and taxiways. Target Learners:
• Undergraduate students of Civil Engineering
• Post-Graduate Students of Transportation Engineering
• Practicing Engineers in Civil Engineering and Transportation Engineering
• Diploma Students of Civil Engineering
Prerequisites:
• Transportation Engineering
• Basics on Building Materials This module introduces the key features of a modern airport. It covers important codes and regulations set by aviation organizations. Essential key terms and definitions related to airport infrastructure are also included. An overview of the International Civil Aviation Organization (ICAO) master planning process is presented, including site selection considerations. 14 videos1 assignment The module explores the location and planning considerations for airside works. It also covers the configuration, orientation, and design of runways. Design aspects of taxiways, aprons, drainage systems, ducts, and lighting are discussed. Navigational and meteorological aids, as well as runway marking, are explained in detail. 9 videos1 assignment This module focuses on the layout and planning considerations of terminal buildings. Functions and passenger conveniences within the terminal are discussed. Topics include the design of travellators, departure and arrival gates, MEP, HVAC services, and a walkthrough of Building Information Modeling (BIM). 7 videos1 assignment The planning of approach roads, landscaping, and drainage are included in this module. Landside access, arrival/departure planning, and multi-level/surface car parking are covered. Utility planning includes air traffic control towers, water harvesting, supply management, fuel storage, power supply, renewable energy, and the airport fire & rescue station. 13 videos1 assignment This module addresses pre-construction activities, including resource deployment and site infrastructure setup. Estimation of plant and equipment requirements is discussed. Key construction equipment, such as earthmoving plants, dumpers, compaction equipment, hoists, and tower cranes, is covered. 6 videos1 assignment The module begins with an overview of airport layout and grading plans. Execution and estimation of various layers of flexible pavements and rigid pavements are explained. Construction aspects of drainage, ducts, and approach lighting systems are discussed in detail. 10 videos1 assignment | 6 modules | Intermediate level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/airport-infrastructure | null |
6,279 | OWASP Top 10 - Welcome and Risks 1-5 | 4,023 | 4.5 | 63 | John Wagnon | Infosec | [] | In this course, we will look at the OWASP organization and what its purpose is. We’ll dive into the details of how they create the Top Ten list: where it comes from, how they calculate the severity of each risk and how they determine where each risk ranks. We also review the possible disparity between OWASP’s ranking and your own organization’s ranking, depending on your needs. We will also examine Broken Access Control, Cryptographic Failures, Injection Attacks, Insecure Design and Security Misconfiguration. We’ll use demos, graphics and real-life examples to help you understand the details of each of these risks. 2 videos 1 video 1 video 1 video 1 video 1 video1 assignment | 6 modules | Intermediate level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/owasp-top-10-risks-1-5 | null |
6,280 | Dimensions of Sustainable Infrastructure in a Project | Enrollment number not found | Rating not found | null | Alfred Hans Grunwaldt | Banco Interamericano de Desarrollo | [] | This course presents the four dimensions of sustainable infrastructure and explains the relationship and impact of sustainable infrastructure on nature-based solutions, gender equity, and employment. Additionally, it describes how public-private partnerships (PPPs) can be a valuable resource for the implementation of sustainable infrastructure. Upon completing the course, you will be able to identify how each dimension of sustainable infrastructure is articulated, as well as its operation during the planning and implementation of a project. Moreover, you will recognize the role of institutions, as well as the support strategies and technical assistance from the IDB to favor the implementation of sustainable infrastructure projects.
Guided by professionals who are experts in the field, you will be able to recognize critical infrastructure projects and their characteristics of interdependence, sustainability, and resilience that are essential for achieving the goals of the Paris Agreement and the Sustainable Development Goals. In this way, you will learn about the role of sustainable infrastructure in employment, gender equity, and nature-based solutions. This course introduces the four dimensions of sustainable infrastructure and explains the relationship and impact of sustainable infrastructure on nature-based solutions, gender equity, and employment. It also describes how public-private partnerships (PPPs) can constitute a valuable resource for the implementation of sustainable infrastructure. 5 videos4 readings2 assignments1 discussion prompt1 plugin 5 videos9 readings5 assignments1 plugin | 2 modules | Beginner level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/dimensions-of-sustainable-infrastructure-in-a-project | null |
6,281 | PMP Exam Prep Certification Training Specialization | Enrollment number not found | Rating not found | null | University of Maryland Faculty | University of Maryland, College Park | ['Power Skills', 'Risk Management', 'Project Monitoring', 'Ways of Working', 'Project Schedules', 'Project Management', 'Business Acumen', 'Compliance Management', 'Project Planning', 'Risk Management Planning', 'Power Skills', 'Risk Management', 'Project Monitoring', 'Ways of Working', 'Project Schedules', 'Project Management', 'Business Acumen', 'Compliance Management', 'Project Planning', 'Risk Management Planning'] | This specialization reflects the most current version of the PMP exam, based on the Project Management Institute, Inc’s (PMI) current exam content outline (ECO). This will not only prepare you for the PMP, but also teach you valuable project management skills useful for program managers and project managers in this PMP training course. The entire course will include the following: Earn 35 PDUs/Contact Hours by completing the entire course as required by PMI Content based on the current PMP Examination Content Outline Explanation of the project management processes Discussion on key project management topics and how to use key formulas, charts, and graphs Strong foundation in Agile project management such as scrum, XP, and Kanban Exposure to challenging exam questions on practice exams—including "wordy" questions, questions with formulas, and questions with more than one correct answer Guidance on the logistical details to sit for the exam such as information on the exam fee for PMI members and non-members, paying for PMI membership, prerequisites, and information on test centers. Applied Learning Project After watching the lesson videos, the learner will get a chance to demonstrate their understanding of the material through knowledge checks. At the end of each week there is a quiz with elaborate explanations on why the correct answer should be selected. After completing all of the course videos, there is a final exam to tie the information together. Learners will also be exposed to a real-life case study throughout all of the courses. The instructor will walk them through the steps that should be taken as a project manager from beginning to end. Bonus process checks are sprinkled within the courses, to allow students to test themselves further. Project management is a skill that is essential in today's business world. With this skill set, project professionals can help organizations manage and track projects effectively, ensuring that tasks are completed on time and within budget. Additionally, project management skills can be applied to a variety of other fields, such as marketing, engineering, accounting, non-profit, and even the creative arts. This course will provide an overview of various project management methodologies. Learners will gain a comprehensive review of key methods, concepts, and roles in project management and achieve a solid understanding of the methodologies behind predictive, agile and hybrid project management.
In this course we'll cover the practices and management skills that can improve your organization's ability to deliver high-quality products and services:
Improved coordination of the efforts of teams and ensure that projects are completed on time and on budget.
Enhance the organization's ability to stay organized and on track, while meeting deadlines and delivering products or services on time.
Manage larger projects with more accuracy and precision.
Improved efficiency in your work.
The varied management approaches of agile and "traditional" project management methodologies. How they differ and how to identify the best approach for any project.
Project management is a critical skill for any business that can add significant value to any organization. In addition, effective project management can help foster team collaboration and communication. Learning project management is a valuable investment for any business and to the individuals taking the journey to develop their project management skills and effectively apply them in your organization.
There are many reasons to learn project management, but perhaps the most compelling is the ability to successfully manage complex projects. With proper planning and execution, a project can be completed on time, meeting the desired budget goals,, and with the desired result.
There’s not one right way to manage projects. There is a way and having knowledge of the various methodologies and techniques can help project professionals successfully achieve the goals of the project.
This course offers a fundamental understanding of predictive and agile project management principles based on better practice guidelines provided in the PMBOK® Guide and other major text books referenced by the PMP® Exam Content Outline (ECO). Learners will finish this course more than ready to continue their project management and PMP® journey, which we hope either completes your certificate with us.
By the end of the course, learners will be able to rapidly and successfully apply the principles of various project management methods in their organizations. Additionally, upon successful completion of this course, learners can earn 10 contact hours of project management education which are recognized by the Project Management Institute (PMI). A total of 35 contact hours in project management education are a requirement to those looking to achieve the Project Management Professional (PMP®)certification. As the PMBOK® Guide aptly states, “projects are performed by people and for people,” (page 9, 7th Edition). People drive projects. Period.
As experienced project managers, we are continuously working with stakeholders to maintain good relationships to ensure that their expectations are in alignment with the goals of the project. Having effective people management skills is a crucial component of project management experience to achieving project success.
Linked to the Leadership skill area of the PMI Talent Triangle® as well as linked to the people domain of the PMP Certification exam, this course will place focus on managing the expectations and relationships of the people involved in projects. To achieve the project goals, it is important to have the knowledge, skills and behaviors needed to guide, motivate and/or direct others. People skills are crucial in achieving success. One way to effectively motivate others is to show them what they can achieve through collaboration and cooperation. Project leaders are constantly helping project stakeholders see the potential for success by demonstrating knowledge, skills and behaviors related to people.
There are a variety of skills that will be covered in the course, such as negotiation, active listening, emotional intelligence, and servant leadership. These powerful skills can be incredibly helpful throughout the lifecycle of your projects, so it’s important that project professionals learn them well.
In this course learners will cover the core interpersonal skills and key techniques to effectively manage the expectations and the relationships with project stakeholders:
1. Identifying project stakeholders
2.Planning resource needs
3. Sharing the vision of the project with your stakeholders
4. Educating your stakeholders on the methodology and framework used in the project environment and business environment
5. Keeping your stakeholders informed in the predictive vs. the agile environment
6. Motivational theories
7. Addressing interpersonal conflicts
8. Emotional intelligence
9. Decision making techniques
10. Communications management.
Learners will uncover the importance of managing expectations and relationships effectively and how to create a positive work environment and build good relationships with team members. This is an essential skill for any project manager, and this course will focus on how to manage the expectations of others, both internally and externally. By doing so, you can help your team and organization stay productive and successfully meet the goals of the project..
By the end of the course, learners will be able to confidently identify the stakeholders of a project and determine the appropriate strategies to manage expectations and maintain a productive working relationship with team members and all stakeholders. This is an important competency in any industry, whether it be healthcare, information technology, government, private-sector, or non-profit. Additionally, upon successful completion of this course, learners can earn 8 contact hours of project management education or professional development units which are recognized by the Project Management Institute (PMI). A total of 35 contact hours (PDUs) in project management education are a requirement (see PMI.org) to those looking to achieve the Project Management Professional (PMP®) credential. Learners will finish this PMP certification course with increased knowledge of the better practice tips to engage stakeholders and be more than ready to continue their project management and PMP® journey, which we hope completes your certificate with us. Linked to the Technical skill area of the PMI Talent Triangle®, this course focuses on the technical aspects of successfully managing projects. Topics will delve into the core skills of scope, cost, and schedule management and integrating these concepts to develop a master project plan. Participants will also need to demonstrate an understanding of quality, risk, and procurement management and use techniques such as earned value, critical path methodology, and general data gathering and analysis techniques. This course focuses on the technical skills of successfully managing projects. Topics will include:
1. Estimating
2. Reviewing project management methods
3. Planning for scope, schedule and cost throughout a project
4. Demonstrating some understanding of quality improvement, risk management, and procurement management
5. Applying the concepts of earned value analysis and critical path scheduling technique.
Regardless of the type of project you're working on, staying up to date with proven methods to manage your projects will allow you to get work done as effectively and efficiently as possible. The flexibility demonstrated through implementation of these tools allows project managers to switch between traditional methods when needed or gain new ways of working for different projects.
Making the switch from “traditional” project management to agile is not always straightforward, and it can be particularly challenging for organizations who are accustomed to a predictive environment. However, with the right guidance and support, the transition doesn't have to be overwhelming. This course will help learners gain valuable insight into applying the adaptive techniques (iterative, incremental, or agile) that can make the transition smoother should you choose to do so in your real world projects. Adaptive techniques may feel unfamiliar and cumbersome at first, but with an open mind and some perseverance, the rewards can be great.
By the end of the course, you will be exposed to the tools and techniques to ensure your projects are utilizing the most appropriate methods, tools, and techniques that meet the needs of your project–and meet the expectations of your stakeholders. Learners will discover that project managers can quickly adapt to any new situation they face by focusing on the goals they want to achieve and the value they expect to deliver. They should embrace change and recognize that there will always be new ideas, methods, and technology available for them to adopt.
Additionally, upon successful completion of this course, learners can earn 8 contact hours of project management education which are recognized by the Project Management Institute (PMI). A total of 35 contact hours in project management education are a requirement to those looking to achieve the Project Management Professional (PMP®)certification. Learners will finish this course with increased knowledge of the better practice tips to engage stakeholders and be more than ready to continue their project management and PMP® journey, which we hope completes your certificate with us. To be a successful project professional, you must constantly evaluate the project efforts and key decisions to ensure that they are aligned with and support the organizational goals at the same time, meeting compliance requirements set by the organization and/or external entities. Linked to the Strategic and Business Management skill area of the PMI Talent Triangle®, this course will highlight the connection between projects and organizational strategy. Learners will need to demonstrate knowledge of and expertise in the industry/organization, so as to align the project goals and objectives to the organizational goals and enhance performance to better deliver business outcomes. Additional topics in this module will include compliance management and an understanding of how internal and external factors impact project outcomes.
In a complex business environment, the project manager must be aware of the external landscape and internal requirements that can impact the project activities and outcomes:
1. Have a strong understanding of macro and micro influences
2. Interpret trends from both the macro and micro perspectives in order to factor these elements into the planning and delivery of business value
3. Identify compliance requirements and ensure their project efforts and execution adhere to compliance standards.
4. Learn how to structure the project in a way that makes it both strategic and compliant.
5. Consider how compliance can impact the cost, risk, and timeline of your project.
6. Learn strategies that make sure you are in accordance with regulations
Learners will gain insight into the strategies and tools to ensure the project is on track, while continually surveying internal and external factors. When considering changes in scope, you must consider how these could impact multiple project constraints. Additionally, course participants will discover how the adaptive environment enables the team to streamline modifications to the project direction to account for changing priorities.
By the end of the course, you will be exposed to the tools and techniques to ensure your projects are compliant and support your company's mission. By thinking about project management as an integrated whole, you can better align your activities and projects to the overall goals of your organization. Additionally, upon successful completion of this course, learners can earn 8 contact hours of project management education which are recognized by the Project Management Institute (PMI). A total of 35 contact hours in project management education are a requirement to those looking to achieve the Project Management Professional (PMP®)certification. Learners will finish this course with increased knowledge of the better practice tips to engage stakeholders and be more than ready to continue their project management and PMP® journey, which we hope completes your certificate with us. | 4 course series | Beginner level | 14 months (at 3 hours a week) | https://www.coursera.org/specializations/pmp-exam-prep-certification-training | null |
6,282 | Study Skills for University Success | 9,222 | 4.7 | 90 | Marla Yoshida | University of California, Irvine | [] | In this course, you’ll learn about many important skills to support your study, including time management, discovering your own learning styles, and reading more effectively and increasing your vocabulary. You’ll hear some guidelines for studying effectively in online or remote classes, which are becoming more and more popular in university-level education. You’ll also improve your skills in listening to lectures and taking good notes to help you as you study for tests. Finally, you’ll hear about expectations for participating in lecture classes and tips for communicating with professors and making friends with classmates. Being a university student can be a rich, rewarding experience if you have the skills you need to succeed both in your classwork and in getting along with others. This course will help you gain some of those skills. In this first week of the course, we’ll talk about some things that will make your university life easier and more productive. You’ll learn about managing your time well and make a plan to fit in all the things you need to do for your classes and still have time for yourself. You’ll hear about different learning styles and take a quiz to discover what learning style is strongest for you. You’ll also hear some tips for success in taking an online class and hear about rules regarding academic integrity—what is and isn’t acceptable if you’re a university student in the U.S. Let’s get started on the road to university success! 7 videos2 readings1 assignment This week we’ll learn about a skill you’ll need in every university class: Listening and notetaking. You’ll hear about the importance of taking good notes to help you understand class material and review later. You’ll also hear about several ways to organize your notes and have a chance to practice the Cornell Notes method. You’ll read some tips for improving your notetaking skill and focus on an important part of any lecture—the introduction—so you’ll know what kinds of information might be included, and what are the most important points to include in your notes. Are you ready to take notes? Let’s get started! 4 videos2 readings1 assignment This week you’ll hear about more skills to help you succeed in university classes. First you’ll learn some hints for reading more effectively. Next you’ll consider some vocabulary for describing and analyzing graphs and charts, which are a vital way of representing data. You’ll practice by choosing a graph from real-life news sources and recording your description of it for your classmates to respond to. You’ll hear some tips for building your vocabulary of both general academic words and specialized words from your field of study. Finally, you’ll learn some strategies for doing well on tests, whether they’re multiple choice, true/false, or essay styles. So let’s get going on mastering these important skills! 4 videos2 readings1 assignment1 peer review This last week of the course will focus on “people skills” that lead toward success. You’ll learn about expectations for class participation in American universities and what you should and shouldn’t do in class. You’ll hear some suggestions for communicating with professors, along with tips for making friends with classmates and neighbors. Finally, you’ll watch a video introducing an American university and hear students, faculty, and administrators talk about their experiences. Your final practice will be to put all your skills to use by watching a video of an authentic university lecture, taking notes, and taking a short quiz on the material. Good luck as you prepare for university life! 3 videos2 readings1 assignment1 discussion prompt | 4 modules | Beginner level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/study-skills-for-university-success | null |
6,283 | Foundations of Strategy | 11,707 | 4.8 | 139 | Carl Kock | IE Business School | ['Strategic Thinking', 'strategy', 'Business Process', 'Strategic Planning', 'Business Strategy'] | Strategy is a complex field and intrinsically related to economics. In this first week of this course you will learn the basic logic of how firms and markets function by using economic logic from a distinctly strategic perspective. The economic logics discussed in the first week have shaped the field of strategic analysis from very early on. Porter’s Five Forces – probably the most well-known strategic analysis tool – directly builds on the notion of market structures and helps us to get a deeper understand of how the competitive environment affects the ability of firms to generate true economic profits. In this week, we´ll look at how Porter's Five Forces are related to market structures, economies of scale, and begin to touch on how firms leverage these to create competitive advantage.
Week three, we will move away from exclusively considering the external structure of an industry as the source of competitive advantage and instead focus our view on the internal resources and capabilities within firms – and the associated “resource based view” to look at how internal resources and capabilities play out in competitive situations.
Looking through the lens of the five forces at the industry, or through that of the resource-based view at firm internal resources and capabilities, feels a bit like swings of a pendulum – and, indeed, strategic theory and practice over the last decades has veered from a near-exclusive focus on the environment to being entranced by firms’ core capabilities. However, to get the full picture of where your firm stands (and where it and its industry may move) requires us to consider both of these perspectives! In this final week we will work on this crucial integration by building our understanding of what a competitive advantage truly is – and what distinct forms it can take. Strategy is a complex field and intrinsically related to economics. In this first week we will establish the basic logic of how firms and markets function by using economic logic from a distinctly strategic perspective. 6 videos5 readings2 assignments The economic logics discussed in the first week have shaped the field of strategic analysis from very early on. Porter’s Five Forces – probably the most well-known strategic analysis tool – directly builds on the notion of market structures and helps us to get a deeper understand of how the competitive environment affects the ability of firms to generate true economic profits. In this week, we´ll look at how Porter's Five Forces are related to market structures, economies of scale, and begin to touch on how firms leverage these to create competitive advantage. 4 videos7 readings1 quiz2 assignments2 app items This week, we will move away from exclusively considering the external structure of an industry as the source of competitive advantage and instead focus our view on the internal resources and capabilities within firms – and the associated “resource based view” to look at how internal resources and capabilities play out in competitive situations. 6 videos8 readings5 assignments1 app item Looking through the lens of the five forces at the industry, or through that of the resource based view at firm internal resources and capabilities, feels a bit like swings of a pendulum – and, indeed, strategic theory and practice over the last decades has veered from a near-exclusive focus on the environment to being entranced by firms’ core capabilities. However, to get the full picture of where your firm stands (and where it and its industry may move) requires us to consider both of these perspectives! In this final week we will work on this crucial integration by building our understanding of what a competitive advantage truly is – and what distinct forms it can take. 5 videos2 assignments | 4 modules | Beginner level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/foundations-of-strategy-ie-business-school | null |
6,284 | Getting Started with AWS CloudFormation | Enrollment number not found | Rating not found | 1 | AWS Instructor | Amazon Web Services | [] | In this course, you will learn the basics of CloudFormation and how to use it to manage your infrastructure. After this course, you will be able to: - Explain the purpose and functionality of CloudFormation.
- Describe how CloudFormation fits into the larger domain context.
- List typical use cases for CloudFormation.
- Specify what it would take to implement CloudFormation in a real-world scenario.
- Explain the cost structure of CloudFormation.
- Show how to use CloudFormation from the AWS Management Console and using the AWS Command Line Interface (AWS CLI).
- Locate resources and further training available. 1 reading1 assignment | 1 module | null | 1 hour to complete | https://www.coursera.org/learn/aws-getting-started-with-aws-cloudformation | null |
6,285 | IoT Based System Design: Foundations and Applications | Enrollment number not found | Rating not found | null | Karlis Zars | Starweaver | ['Understanding IoT Technologies', 'IoT Skills Enhancement', 'Practical IoT Applications', 'IoT System Design', 'Foundational IoT Concepts'] | IoT-Based System Design: Foundations and Applications is a comprehensive course designed to provide learners with a solid understanding of Internet of Things (IoT) technologies and their practical applications. Through a combination of theoretical learning and hands-on exercises, participants will explore the fundamental concepts, hardware components, software platforms, and real-world use cases of IoT systems. The course is structured to cater to learners ranging from beginners to those with intermediate-level knowledge in the field, offering a progressive learning experience that equips them with the skills needed to design, develop, and deploy IoT solutions across various industries. This course caters to a diverse audience, ranging from students pursuing degrees in computer science or engineering to professionals transitioning into IoT roles and entrepreneurs exploring innovative solutions. It is also suitable for technology enthusiasts eager to delve into the world of IoT and its practical applications. Whether you're a beginner looking to grasp the basics or an intermediate learner seeking to deepen your understanding and skills in IoT system design, this course provides a structured learning experience to accommodate your needs and aspirations in the field.
To make the most of this course, participants should possess a basic understanding of computer science principles and fundamental programming concepts. Familiarity with electronics and networking fundamentals will also be beneficial. However, what matters most is a genuine interest in IoT technologies and their potential applications across various industries. Whether you're a student, a professional, or an enthusiast, this course provides the opportunity to develop the knowledge and skills needed to embark on a rewarding journey in IoT-based system design and development. Module 1 provides a comprehensive introduction to IoT, covering fundamental concepts, components, architectures, hardware, connectivity, software, and platforms. 10 videos4 readings1 assignment2 discussion prompts Module 2 focuses on designing and developing IoT systems, covering design considerations, development frameworks, and security and privacy aspects. 10 videos3 readings1 assignment2 discussion prompts Module 3 explores practical applications of IoT across various sectors, including smart homes, healthcare, and industrial settings, providing insights into how IoT technologies are deployed to enhance efficiency and improve outcomes. 10 videos3 readings1 assignment2 discussion prompts Module 4 explores emerging trends in IoT, guides participants in building IoT projects, and discusses the future of IoT, preparing them for upcoming challenges and opportunities in the field. 11 videos3 readings1 assignment2 discussion prompts | 4 modules | Beginner level | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/iot-based-system-design-foundations-and-applications | null |
6,286 | Global Procurement and Sourcing Specialization | 31,332 | 4.7 | 1,810 | Don Klock | Rutgers the State University of New Jersey | ['Negotiation', 'Contracts'] | We will start with a “proven” model for Strategic Sourcing, then move on to the very important topic of Supplier Management. In Supplier Management, you will learn how to select and evaluate suppliers, implement appropriate contracts, and how to mitigate risks. In Supply Market Analysis, you will learn and understand various tools and techniques to evaluate supply markets. Lastly, the course will cover the very important topic of negotiation. Outside reading will be provided to reinforce your knowledge. In addition, case studies will be used to bring these learning to life, and assessment will be used to test your overall knowledge. Applied Learning Project In addition to the videos, readings, and podcast, learners will use their learned knowledge and newly acquired skills to solve/answer questions for "real" life cases. These cases are required and will be assessed by a Peer group. The last case in the Negotiation course, the student has an additional option to answer not only as a buyer but as a seller. That will bring more of a "real" life negotiation. Understand Course Flow and Requirements You will learn some basic definitions and discover why procurement is important to the firm GI've you a "basic" flow of procurement processes Learn the difference between Directs and Indirects 10 Key Ways to improve stakeholder (internal customers) management Learn and understand the various steps in a "proven" 7-step Strategic Sourcing Process Be able to discuss why it is important for the procurement department, your stakeholders and why one should follow a strategic sourcing process Learn how to select and evaluate suppliers Review various types of contracts, where they should be used and advantages and disadvantages Understand how to mitigate risks Understand some key ethical considerations in procurement Learn & understand various tools and techniques to evaluate supply markets from three levels: Macro, Tactical, and Operational/Supplier level Macro Level: PESTLE Tactical Level: Supply Market Segmentation, 5-Forces Analysis, and Supply Chain Mapping Operational/Supplier Level: Key Information Sources, SWOT, and Financial Analysis Learn when you should and should not negotiate Learn the importance of planning and useful tools to improve your success: e.g. Setting Specific Objectives, MDOs, LAAs, and BANTA Be able to recognize positions & interests, wants & needs, tactics and how to give concessions What are the key steps to follow after the negotiation is complete Learn from the experts about the future of procurement Rreview and undetand the key takeaways from courses 1 through 6. Test your knowledge through the required final assessment | 7 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/procurement-sourcing | null |
6,287 | Microeconomics Principles Specialization | 2,088 | 4.9 | 50 | Dr. José J. Vázquez-Cognet | University of Illinois Urbana-Champaign | ['Economics', 'Business Economics', 'Supply And Demand', 'Public Policies', 'Economics', 'Business Economics', 'Supply And Demand', 'Public Policies'] | Welcome to this Specialization focused on the principles of Microeconomics. This program is not merely about the study of money, but explores the functional roles of individual decision-makers, both consumers and producers, within the larger economic system. Across four comprehensive courses, we will provide an introduction to the nature and functions of product markets, the theory of the firm under various conditions of competition and monopoly, and the roles governments play in promoting the economy's efficiency. We will delve into fascinating subjects such as the environment, love and marriage, crime, labor markets, education, politics, sports, and business. This program is perfect for students, professionals interested in economics, or anyone aiming to make more informed financial decisions. The only prerequisites for this course are an open mind and a willingness to explore the fascinating world of economics from unique angles. Applied Learning Project By the end of this Specialization, you'll gain vital skills including understanding consumer and firm behavior, analyzing different types of market structures, applying economic principles to everyday life, and using supply and demand diagrams to better comprehend the impact of changes in supply and demand on price and quantity. Identifying hidden costs of anything Surplus & Social Welfare: Applying the concept of surplus to measure the welfare of an economy and use the supply and demand model to illustrate it Impact of Government Interventions: Understand how government interventions (eg. price controls) impact social welfare using model of supply & demand Price Elasticity of Demand: Learn how to classify goods based on their price elasticity of demand & predict how changes in price might affect revenue Analysis of Tax Implications: Use the price elasticity of demand concept to determine the distributional and welfare effects of an excise tax Learn to apply marginal returns to inputs, key firm costs, and cost changes over time. Understand perfect competition, profit maximization, and profit-maximizing output. Learn about market structures and distinguish marginal revenue in different firms for profitability assessment. Explore welfare effects of market power, types of price discrimination, and its societal impact. Understanding Free Rider Problem: Develop knowledge of the free rider problem and its implications on goods and services in an economy. Excludability and Rivalry: Learn how to classify a good based on its excludability and rivalry attributes. Public Goods: Delve into the challenges associated with the provision of public goods and comprehend the reasons behind these difficulties. Market Externalities: Identify different market externalities & recognize why markets typically struggle to address these externality issues | 4 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/microeconomics-principles | null |
6,288 | Team Building and Leadership in Project Management | 3,017 | 4.9 | 31 | Microsoft | Microsoft | ['Foster Collaboration', 'Leadership', 'Team Development', 'Project Management', 'Communication'] | In this course, you’ll discover the essentials of project management success through effective team development and leadership. Learn to identify key team stages, build strong teams, and adapt leadership styles for various projects. Whether you're new to project management or an experienced professional, this course offers indispensable knowledge for achieving project excellence. After completing this course, you’ll be able to:
• Identify the stages of team development.
• Discuss the importance of effective team building and leadership to ensure project objectives are
met.
• Discuss different leadership styles relevant to Project Management
This is a great way to prepare for the industry-recognized PMI® Authorized PMP® Exam, a global standard in project management certification. This module provides a comprehensive introduction to key principles of team building and leadership, setting the foundation for the rest of the course. You will explore the dynamics of effective teamwork, leadership development, and best practices drawn from real-world applications. Through a blend of theoretical concepts and hands-on activities, you’ll develop essential skills for building cohesive teams and guiding them toward shared objectives. 9 videos11 readings5 assignments1 discussion prompt You will explore the importance of team dynamics in project environments. This module focuses on key components such as conflict management. supporting virtual teams and project leadership. You will gain insights into the diverse responsibilities of a project manager. The hands-on activities and quizzes are designed to reinforce the theoretical knowledge acquired during the lessons, ensuring learners are well-equipped to develop and engage project teams. 9 videos7 readings7 assignments In this module, you will explore the critical role of project leadership in achieving project success. Project leadership goes beyond traditional management techniques, focusing on inspiring and guiding team members towards common goals. You will explore various leadership styles essential for effective project leadership. By mastering project leadership concepts, you will be better equipped to lead your team to success. 11 videos7 readings7 assignments Apply your skills through an end-of-course project to solidify your grasp of the key concepts covered. This week offers a recap of the course, reviews the main learning objectives, and gives you the chance to reinforce your understanding through a practical activity. 2 videos3 readings2 assignments1 discussion prompt1 plugin | 4 modules | Beginner level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/team-building-and-leadership-in-project-management | null |
6,289 | Animal Welfare in the Clinic | 2,461 | 5.0 | 20 | Hayley Walters | The University of Edinburgh | [] | Why is the experience of going to the vets a negative one for some animals? Is it the anticipated pain, the way the place smells, the colour of the waiting room, the noises coming from the consulting room, or something else? What can vets, vet nurses, animal carers, and owners do to ensure that the welfare of the animal is supported at every stage of the clinical visit (from transportation, waiting area, examination, operating room, and recovery)?
In this course, leading experts in the field of animal behaviour, welfare, veterinary medicine, and industry provide an insight into practical approaches and considerations for improving and maintaining animal welfare in the clinic. In this first week, we look at animal welfare as a science, how we can use evidence to make objective measures to determine whether an animal is experiencing positive or negative welfare, and why it is so important in the veterinary clinic. We’ll also look at what constitutes normal cat, dog, and rabbit behaviour, what motivates canine aggression and what we can do if an owner reports aggressive behaviour in their dog. 17 videos4 readings2 assignments4 discussion prompts This week we are examining what owners can do to help their animal companions better cope in the clinic BEFORE they arrive, what clinic staff can do to help reduce anxiety for the pet once they have entered the building, and we will define the terms ‘trigger stacking’ and ‘building a welfare bank account’. How to improve patient welfare and reduce stress in the waiting room and consulting room will also be explored this week by examining the latest scientific evidence, and we will also discuss the techniques and benefits of low stress handling, how to perform a low stress examination on a cat, dog, and rabbit, and how to handle a cat or dog that is behaving aggressively. 14 videos2 readings1 assignment3 discussion prompts This week we are going to delve into what we can do to make the preparation room, also known as the treatment room, less worrying for our patients. We will discuss pre-emptive, multi-modal analgesia prior to going for surgery, and the difference between light anaesthesia and nociception. We’ll also consider what we can do to make the operating room, and the kennels or recovery area more welfare focussed, and the ways in which we can improve the clinic experience for the long-term inpatient. 8 videos3 readings1 assignment3 discussion prompts This week we are talking about pain in rabbits, cats and dogs – how to recognise it, how to score it, how to treat it, and why, physiologically, treating acute pain is so vital. We’ll also study pain pathways, multimodal analgesia, the post operative advice we can give to owners to ensure good welfare continues when they take their animal home, and what owners can do to enrich the lives of their pets if they must be strictly rested for an extended period of time. 14 videos4 readings1 assignment4 discussion prompts | 4 modules | Intermediate level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/animal-welfare-in-the-clinic | null |
6,290 | Trademark Law | 13,486 | 4.8 | 244 | Cynthia Dahl | University of Pennsylvania | ['Marketing', 'Brand Management', 'Strategic Planning', 'Value Proposition'] | The protections afforded under trademark law have created incredible value in intangible assets, with the value of the world’s most valuable brands such as Amazon, Apple and Google each exceeding $100 billion. But what exactly is trademark law, and how is such enormous value created? This course examines the fundamentals of U.S. trademark law and the ways in which the manufacturers of various products and services can establish and protect their identities and the identities of their products in the marketplace.
We will explore the purpose of trademark law, identify the different types of trademarks, including names, designs, logos, and trade dress, and explore strategies for choosing and protecting strong, potentially valuable trademarks. We will also discuss strategies for strengthening descriptive marks, and lay out the steps for filing for federal trademark protection. Finally, we will address how to design an ongoing maintenance strategy to protect, extend, and maximize the value of trademarks, and discuss strategies for responding to possible trademark infringement. What is a trademark? What can and cannot qualify as a trademark? This module answers these important threshold questions to begin our study of U.S. trademark law. 5 videos5 readings4 assignments2 discussion prompts What does it mean for a trademark to be "good?" What is a "strong" trademark? This module answers those questions, and demonstrates how to balance the sometimes competing interests of the marketing and legal departments of a business. 6 videos4 readings6 assignments1 discussion prompt In this module, you will learn if, when, and how to file for official trademark protection. 5 videos2 readings6 assignments1 discussion prompt So you have a trademark - what now? This module will show you how to protect and police your trademark, as well as how to approach potential trademark infringement. 4 videos4 readings3 assignments1 peer review1 discussion prompt | 4 modules | null | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/trademark-law | 97% |
6,291 | Diversity with Inclusion in Organizations | Enrollment number not found | Rating not found | null | Ariadne Ferro Bajuelo | IE Business School | ['Priviledge', 'diversity', 'inclusion', 'Dialogue'] | For any group to perform at its best, it’s important that its members feel valued. This can only be achieved if the team, beginning with the team leader, fosters an environment of inclusion where each person has the opportunity to contribute and is valued for his or her distinctive skills and perspectives.
We’ll be introducing you to established frameworks, including Kathryn Sorrells’ Intercultural Praxis Model, which will serve as the guide for this course. Through this model, we’ll learn how to raise awareness about our reactions to difference, optimize critical analysis, and develop responsible social action.
In this course, we’ll also review some of the basic concepts that make up the process of inclusion. We’ll discuss theories surrounding inclusion in organizations, and we’ll provide you with strategies on how to react when a moment of exclusion occurs within your team. In addition to the foundational knowledge you'll gain from this course, you’ll also take away a practical toolkit for fostering an inclusive environment.
This course can be taken independent of or along with its companion courses: Fundamentals of Diversity; Cognitive and Experiential Diversity; and Diversity and Belonging in Businesses and Organizations. In this module, we'll examine what inclusion is and why it's essential to any organization's diversity program. We'll also lean into inquiry to recognize our unconscious biases and how these can lead to exclusion. 7 videos4 readings1 assignment1 plugin After an exploration of our salient social identities, we'll discover how we construct our worldview. We'll become aware of our own perspectives and how these may lead to practices of exclusion. 8 videos5 readings1 assignment7 discussion prompts2 plugins In Module 3, we'll discover how our social identities determine who has power and who is excluded. We'll also discuss the impact of intersectionality as it relates to inclusion. 8 videos10 readings1 assignment3 discussion prompts3 plugins In our last module, we'll apply dialogue and reflection to take action in fostering meaningful inclusion. This will be done through an exploration of psychological safety, challenging biases, and the practice of calling out versus calling in. 8 videos6 readings1 assignment1 peer review3 discussion prompts1 plugin | 4 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/diversity-with-inclusion-in-organizations | null |
6,292 | Machine Learning Algorithms | 1,545 | Rating not found | null | Jaekwang KIM | Sungkyunkwan University | [] | In this course you will: a) understand the naïve Bayesian algorithm.
b) understand the Support Vector Machine algorithm.
c) understand the Decision Tree algorithm.
d) understand the Clustering.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability. 3 videos3 readings3 assignments 3 videos3 readings3 assignments 3 videos3 readings3 assignments 3 videos3 readings4 assignments | 4 modules | null | 15 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/machine-learning-algorithms | null |
6,293 | Fundamentals of Cloud Computing | 2,988 | 3.9 | 28 | Erik Herman | LearnQuest | [] | This course is the second of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of cloud computing. You will learn about the primary deployment models. We’ll go through the common cloud computing service models. The hands on material offers the opportunity to review and configure a cloud account. This course covers a wide variety of topics that are critical for understanding cloud computing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills. In this module, you’ll define the core concepts associated with cloud computing, including shared infrastructure, on-demand access, scalable services, consumption based pricing, and anywhere/device access. 14 videos6 readings6 assignments10 discussion prompts In this module, you’ll describe the primary cloud computing deployment models, including public, private, hybrid, and community. 11 videos5 readings5 assignments8 discussion prompts In the third week of this course, we'll learn about the common service models used in cloud computing, including SaaS, PaaS, and IaaS. 8 videos3 readings4 assignments6 discussion prompts | 3 modules | null | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/fundamentals-of-cloud-computing | null |
6,294 | Managing Security in Google Cloud | 32,035 | 4.7 | 1,073 | Google Cloud Training | Google Cloud | [] | This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course. Welcome to Managing Security in Google Cloud, the first course of Security in Google Cloud. This course gives you an overview of security controls and techniques on Google Cloud. Through lectures, demonstrations, and hands-on labs, you will explore and deploy the components of a secure Google Cloud solution. 1 video1 reading Securing systems is a hot topic and should be a priority for everyone today - and, as you will see, it is definitely a priority here at Google. In this module we will introduce you to Google Cloud’s approach to security. We will also discuss the shared security responsibility model, which is a collaborative effort between Google and its users. Next, we will outline several threats that are mitigated for you when your systems are run on Google’s infrastructure in Google Cloud. And, finally, we will end with a section on access transparency. 7 videos1 assignment In this module we will discuss Cloud Identity, a service which makes it easy to manage cloud users, devices, and apps from one console. We will also discuss a few related features to help reduce the operational overhead of managing Google Cloud users, such as the Google Cloud Directory Sync and Single Sign-On. We will end with some authentication best practices. 10 videos1 assignment Identity and Access Management (IAM) lets administrators authorize who can take action on specific resources, giving you full control and visibility to manage your cloud resources centrally. More specifically, we will cover; the Resource Manager which enables you to centrally manage projects, folders, and organizations, IAM roles and policies, including custom roles, and IAM best practices, including separation of duties and the principle of least privilege. 11 videos1 assignment1 app item Managed networking on Google Cloud utilizes a Virtual Private Cloud (or VPC). In this module we will discuss VPC related security concepts including: VPC firewalls, load balancing SSL policies, network Interconnect & peering options, VPC network best practices and VPC flow logs. You will also have the opportunity to practice what you’ve learned, by completing the labs exercises “Configuring VPC Firewalls” and “Configuring and Using VPC Flow Logs in Cloud Logging.” 18 videos1 assignment3 app items | 5 modules | Intermediate level | null | https://www.coursera.org/learn/managing-security-in-google-cloud-platform | 93% |
6,295 | Google Business Intelligence Professional Certificate | 92,744 | 4.8 | 1,897 | Google Career Certificates | Google | ['Business Intelligence', 'Extraction, Transformation And Loading (ETL)', 'Bigquery', 'Dashboarding and Reporting', 'Data Analysis', 'Data Modeling', 'Business Analysis', 'SQL', 'Tableau Software', 'Business Process'] | Get professional training designed by Google and take the next step in your career with advanced skills in the high-growth field of business intelligence.There are over 166,000 open jobs in business intelligence and the median salary for entry-level roles is $96,000.¹ Business intelligence professionalscollect, organize, interpret, and report on data to help organizations make informed business decisions. Some responsibilities include measuring performance, tracking revenue or spending, and monitoring progress. This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of theGoogle Data Analytics CertificateOpens in a new tabor people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring BigQuery, SQL, and Tableau. After three courses, you’ll be prepared for jobs like business intelligence analyst, business intelligence engineer, business intelligence developer, and more. At under 10 hours a week, the certificate program can be completed in less than two months. Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon. 75% of certificate graduates report a positive career outcome (e.g., new job, promotion or raise) within six months of completion2 ¹Lightcast™ US Job Postings (Last 12 Months: 1/1/2022 – 12/31/2022) 2Based on program graduate survey responses, US 2022 Applied Learning Project This program includes over 70 hours of instruction and 50+ practice-based assessments, which will help you simulate real-world business intelligence scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in business intelligence. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to BI tools and platforms and key technical skills required for an entry-level job. Platforms and tools you will learn include:BigQuery, SQL, Tableau In addition to expert training and hands-on projects, you'll complete a portfolio project that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now. Understand common careers and industries that use BI Investigate the impact data can have on business decision-making Explain the important role that BI professionals have in businesses Develop a BI project plan Build data models that answer business questions Apply the ETL process to workplace scenarios Explore ETL tools Construct a pipeline to deliver necessary data Design BI visualizations Practice using BI reporting and dashboard tools Create presentations to share key BI insights with stakeholders Develop professional materials for your job search Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ Illinois Tech Degree Illinois Tech Degree · 12-24 months Illinois Tech Degree · 12-15 months ¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information. This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.Learn more | 3 course series | Advanced level | null | https://www.coursera.org/professional-certificates/google-business-intelligence | null |
6,296 | Amazon EC2 Basics | Enrollment number not found | 4.5 | 17 | AWS Instructor | Amazon Web Services | ['EC2 cost-performance tradeoffs', 'EC2 instance updates', 'EC2 instance selection', 'EC2 instance families'] | Compute services are the backbone that power most web-based applications. Amazon Elastic Compute Cloud (Amazon EC2) is the foundation that many other Amazon Web Services (AWS) offerings are built upon. This course provides you with the opportunity to explore the different families of EC2 instances and identify the target workloads for each of these families. You will learn about the different instance types and how to select the best instance types to maximize price and performance. Compute services are the backbone that power most web-based applications. Amazon Elastic Compute Cloud (Amazon EC2) is the foundation that many other Amazon Web Services (AWS) offerings are built upon. This course provides you with the opportunity to explore the different families of EC2 instances and identify the target workloads for each of these families. You will learn about the different instance types and how to select the best instance types to maximize price and performance. 1 reading1 assignment | 1 module | Beginner level | 1 hour to complete | https://www.coursera.org/learn/aws-amazon-ec2-basics | null |
6,297 | Personnel & Third-Party Security | 2,378 | 4.7 | 34 | Qasim Ijaz | University of California, Irvine | [] | In this course, you will learn all about the process of implementing effective education, training, and awareness programs. You will also study the role personnel security plays in protecting an organization’s assets, intellectual property, and physical assets. You will also be introduced to the steps required for effective Vendor Risk Management (VRM), including: due diligence, contracting, monitoring & accessing, and termination. Throughout the course, you will engage with current case studies that illustrate the key concepts in your lessons. You will also have the chance to submit assignments in which you will apply the material in a practical application. Welcome to the first module of Personnel & Third Party Security! Education, training, and awareness of security threats are important for many actors within an organization. It’s not only your users who make bad decisions, it’s also administrators, IT staff, security staff, and risk assessors. In this module we will dive into the process of implementing effective education, training, and awareness programs. 3 videos1 reading1 assignment1 peer review Welcome to Module 2! Personnel security plays a critical role in protecting an organization’s assets, for example intellectual property, such as customer data or physical assets. Organizations define their security requirements around personnel’s use of organizational assets and then use technical and physical controls to implement them. Through personnel security controls, we work towards a reduction in the misuse, theft, or fraud related to our assets. 3 videos1 reading1 assignment1 peer review Welcome to Module 3! In this module we will introduce the steps required for effective Vendor Risk Management (VRM), including: due diligence, contracting, monitoring and accessing, as well as termination. When it comes to VRM, we cannot completely eliminate all risk, however, we may be able to reduce risk. The key is to ensure there is no "unacceptable" risk. 2 videos1 reading1 assignment1 peer review Welcome to the fourth and final module of Personnel & Third-Party Security! Imagine you just bought new hardware, software, or merged with another company. How do you ensure that these actions do not reduce your cyber security posture and increase your risk to external and internal threats? Introducing cyber security risk considerations into acquisition strategy can help deal with these concerns. 2 videos1 reading1 assignment1 peer review | 4 modules | null | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/internal-risk-mitigation | null |
6,298 | The Changing Status and Perception of Animals | 2,578 | 4.7 | 52 | Leslie Irvine | University of Colorado Boulder | ['Animal welfare', 'Sociological concepts'] | In this course, we explore how mainstream understandings of animals and human-animal relationships have changed in recent years. Module 1 focuses on the roles of animals in human physical health and psychological well being. Module 2 explores animal selfhood, particularly in light of their inability to use spoken language. Finally, Module 3 examines some of the collective efforts undertaken when the treatment or use of animals comes to be seen as inhumane, immoral, and worthy of ameliorative social action. In this module, you will examine the role of animals in human health well being. 5 videos1 assignment2 discussion prompts In this module, you will critique conventional perspectives on animals as lacking inner lives and consider evidence of emotions and a sense of self among animals. 4 videos1 assignment1 discussion prompt In this module, you will explore how ideas about the moral status of animals support claims for better welfare or rights. 4 videos2 readings1 peer review1 discussion prompt | 3 modules | Beginner level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/perception-of-animals | null |
6,299 | Reigniting Employee Engagement | 2,103 | 4.7 | 18 | Cheri Alexander | University of Michigan | ['Business', 'Leadership', 'Management'] | Welcome to Reigniting Employee Engagement with Professors J. Sanchez-Burks and Cheri Alexander. Engagement at work is tenuous at best. Stress and unhappiness remain elevated resulting in a myriad of challenges that limit the ability for us and others to thrive in our jobs. This course introduces three interactive levers, which can be used to reignite employee engagement. These levers include strategies and tools for surfacing what others care about, how to increase their confidence and ways to take better control of the comparisons that influence how we make sense of our environment. This course will use interactive tools, videos and animated vignettes to develop a strategic plan for using these levers in your work, and possibly in your personal life. This course aims to help you go forward with positive personal engagement in your lives, teams and organizations. We look forward to this partnership in learning and are excited to provide you with engaging content and stimulating exercises that will be fun and reflective. Welcome to Week 1! In the first week we will share data altering us to gain a deeper understanding of how to reimagine and reignite engagement both in our work and personal lives. The objective is to help you understand this need and equip you with an easy to use framework that can be used to help yourself as well as others (colleagues, coworkers/subordinates) take specific steps to increase engagement. This framework will prepare you to go in the direction that you need to, based on your personal and our professional assessment. 10 videos4 readings1 assignment2 app items1 discussion prompt1 plugin Welcome to Week 2! The goal this week is to understand the first lever of a three lever framework for increasing engagement: "Care". An additional objective is to gain a better appreciation of the challenges applying this first lever and gain practice with overcoming these challenges. We will explore all the possible human caring considerations and help you find what is most important in your caring cadre. 13 videos3 readings1 assignment2 app items1 discussion prompt3 plugins Welcome to Week 3! The focus this week is to understand the second lever of our three lever framework for increasing engagement: "Confidence". You will gain an understanding for how people's self-confidence influences engagement and critical situations when we can help others better calibrate their level of confidence. 8 videos4 readings1 assignment3 app items1 discussion prompt3 plugins Welcome to Week 4! The plan for this week is to understand the third lever of our three lever framework for increasing engagement: "Comparisons". You will gain a refined understanding of how social comparisons help us make sense of our world. Moreover, you will learn how the comparisons that we make regarding what we are doing versus what we are getting can become misaligned. Finally, how the comparisons we make between that ratio and the ratio for others fundamentally drives our feelings, thoughts and action. 7 videos5 readings1 assignment1 discussion prompt3 plugins | 4 modules | Intermediate level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/reigniting-employee-engagement | null |