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Machine Learning Specialization

518,915

4.9

Andrew Ng

Stanford University

['Logistic Regression', 'Artificial Neural Network', 'Linear Regression', 'Decision Trees', 'Recommender Systems', 'Logistic Regression', 'Artificial Neural Network', 'Linear Regression', 'Decision Trees', 'Recommender Systems']

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start. Applied Learning Project By the end of this Specialization, you will be ready to: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression. • Build and train a neural network with TensorFlow to perform multi-class classification. • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world. • Build and use decision trees and tree ensemble methods, including random forests and boosted trees. • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression Build and train a neural network with TensorFlow to perform multi-class classification Apply best practices for machine learning development so that your models generalize to data and tasks in the real world Build and use decision trees and tree ensemble methods, including random forests and boosted trees Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection Build recommender systems with a collaborative filtering approach and a content-based deep learning method Build a deep reinforcement learning model Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

3 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/machine-learning-introduction

Introduction to Teaching English Learners Specialization

Enrollment number not found

4.5

Rachel Kraut, Ph.D.

Rice University

['culturally responsive teaching', 'Educational Technology', 'Teach English', 'Teaching', 'English learners', 'TESOL', 'Cultural Competence', 'ELLs', 'ESL', 'culturally responsive teaching', 'Educational Technology', 'Teach English', 'Teaching', 'English learners', 'TESOL', 'Cultural Competence', 'ELLs', 'ESL']

Introduction to Teaching English Learners is a specialization intended for educators in the beginning stages of their careers (i.e. 0-3 years experience) or who are new to working with English learners. By completing these 3 courses, learners will be better prepared to serve the English learners in their classrooms through sheltered instruction principles, culturally responsive teaching methods, integrating educational technology, and building awareness of the unique challenges faced by this group of students. Applied Learning Project Learners will complete authentic assignments applicable to the classroom such as evaluating educational technology for use with English learners, identifying strengths and weaknesses of sheltered instruction lessons, suggesting curriculum revisions to incorporate elements of culturally responsive teaching, and more. Learn how to support academic success for English learners through sheltered instruction and other proven teaching methods. Fill your teacher toolbox with pre-made lesson plans and practical strategies for working with English learners. Discover characteristics of special groups of English learners, the challenges they face, and how to help students overcome them. Discover new ideas for teaching and assessing cultural knowledge and intercultural communicative competence. Learn how to incorporate culturally responsive teaching methods into your everyday classroom practices. Understand the multi-dimensional nature of culture and its importance in teaching English learners. Apply best practices to select and use educational technology effectively with English learners. Increase your own digital literacy skills as a teacher, and learn how to support digital literacy development in English learners. Discover new ideas for teaching 21st century skills to English learners through educational technology.

3 course series

Beginner level

3 months (at 5 hours a week)

https://www.coursera.org/specializations/intro-to-teaching-english-learners

Meta iOS Developer Professional Certificate

44,762

4.6

Taught by Meta Staff

Meta

['Version Control', 'Github', 'Bash (Unix Shell)', 'Web Development', 'Linux', 'Web Design', 'Accessibility', 'Front-End Web Development', 'User Experience (UX)', 'React (Javascript Library)', 'Application development', 'React']

Have you ever wanted to build outstanding mobile apps like Facebook and Instagram? This Professional Certificate will teach you how to build applications for iOS devices and start a new career as an iOS Developer. By the end of this program, you’ll be able to create and run a mobile app powered by iOS operating systems. In this program, you’ll learn: Essential iOS programming concepts and the tools needed to develop applications Create user interfaces (UIs) for mobile apps using SwiftUI Manage the lifecycle and data collections of mobile applications Work with web technologies and manage data on iOS applications Build an iOS app Create cross-platform applications using React Native Prepare for technical interviews for iOS developer roles Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property. Applied Learning Project Engage in hands-on activities and learn how to implement concepts through applied learning structures. Create a protocol in Swift Build a UI for an application in Swift Develop a native iOS mobile application In the final course, you will also complete a Capstone project that will require you to utilize your new skillset by building an app. You can add this project to your portfolio and showcase your work during job interviews. iOS mobile app development UI development Project development Swift syntax Implement Version Control systems Navigate and configure using the command line Use a GitHub repository. Create a GitHub repository Manage code revisions General programming principles Working with constants, variables, data types and data structures Using functions and closures Describe the fundamentals of User Experience (UX) design and research Describe accessibility considerations in design Practice developing user empathy through research Create wireframes and prototypes in Figma UI development Mobile app development UI interactivity Project development Implement an iOS application with search and filtering capabilities. Implement advanced custom data types in Swift. Use mocks and fakes to perform unit testing in iOS. Implement code organization best practices with inheritance, basic protocols and delegation. This course introduces you to the core principles of working with data in iOS. You will delve deeper into the processes and concepts behind APIs, explore data formats that allow you to transfer data between servers and devices and discover how to work with data in Swift using Core Data. By the end of this course, you’ll be able to: -Demonstrate a working knowledge of how Swift applications communicate over the web. -Apply asynchronous programming techniques using Swift. -Utilize a variety of methods to take advantage of the Core Data package in a Swift application. This course is ideal for intermediate learners who would like to prepare themselves for a career in iOS development. To succeed in this course, you should have an advanced understanding of Swift programming and a functional knowledge of APIs. Create simple JavaScript code Create and manipulate objects and arrays Write unit testing using Jest Use reusable components to render views where data changes over time Organize React projects to create more scalable and maintainable websites and apps Use props to pass data between components. Create dynamic and interactive web pages and apps Use forms to allow users to interact with the app. Build an application in React React Native is an open-source framework for building cross-platform applications (apps) using React and the platform’s native capabilities. In this course, you will move from the basics of React to a more advanced implementation using React Native. You’ll review a wide range of different React components and ways of styling them. And you’ll get to practice using different mobile methods of interactivity with React Native. Some of the basics skills you will learn include: • Building a single-page React Native app and styling it using basic components • Building large lists and configuring user inputs within a React Native app • Using the Pressable component to build buttons and other clickable areas • Setting up an app with React Navigation and moving between screens You’ll gain experience with the following tools and software: • React • React Native • Front End development languages (HTML, CSS and JavaScript) • JSX • Code editing programs, such as Expo and Visual Studio Code This course is for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you will need foundational knowledge of React basics, internet navigation skills and an eagerness to code. In this capstone course, you’ll demonstrate your proficiency in your new skill set by creating a native iOS app. At this point in the program, you've gained all the skills you need to successfully complete this project. But you might need to refresh your memory when it comes to the previous courses in the program. For that reason, each module in this course will take you through a brief recap of relevant content from previous courses in the program. And don't worry, there will be links too so you can review content in more detail if necessary. In this way, you will be guided through the process of building the Little Lemon app which allows you to show off your new development skills. This course is ideal for intermediate learners who would like to prepare themselves for a career in iOS development. On completion of the capstone project, you’ll have an interactive mobile application that you can share with recruiters and impress potential employers with. To complete this course, you will need experience in iOS and a good understanding of the Swift programming language. Additionally, it always helps to have a can-do attitude! By the end of this course, you’ll be able to: -Build a native iOS mobile app -Publish and sell it on the Apple Store Prepare for a coding interview Prepare for a Meta interview Solve problems using code

12 course series

Beginner level

8 months (at 7 hours a week)

https://www.coursera.org/professional-certificates/meta-ios-developer

.NET Core Mastery: Advanced Techniques for Exp Developers Specialization

Enrollment number not found

4.0

EDUCBA

EDUCBA

['ASP.NET Core Development', 'Web Application Security', 'Testing and debugging', 'Scalable Architecture', 'C# Mastery']

Overview:Elevate your expertise in .NET Core with our specialization. Master advanced C# programming, web application development, testing, debugging, and building scalable applications. Gain insights into clean architecture, efficient database management, and scalable architecture design. Equip yourself for complex software development challenges. Learning Objectives: Advanced C# Programming: Master delegates, events, asynchronous programming, dependency injection, and clean architecture. Web Application Development with ASP.NET Core: Grasp ASP.NET Core architecture, build powerful APIs, manage databases, and secure applications. Testing and Debugging in .NET Core Applications: Learn unit testing, integration testing, debugging tools, and methodologies for robust and error-free applications. Building Scalable Applications with .NET Core: Design high-performance, scalable applications with microservices, message queues, and distributed caching. Optimize performance, embrace cloud services, and deploy on platforms like Microsoft Azure. Target Audience:Experienced developers seeking mastery in .NET Core, wanting to advance their skills in C# programming, web development, testing, debugging, and scalable application design. Learner Prerequisites:Solid understanding of C# and .NET Core basics, familiarity with web development concepts, and experience with software testing and debugging. Applied Learning Project Engage in real-world projects, from designing scalable applications to implementing advanced C# features, testing and debugging strategies, and building responsive web applications, enabling hands-on problem-solving in diverse software development scenarios. Embark on a journey to master Advanced C# Programming in .NET Core through our comprehensive course. Explore the intricacies of Advanced Language Features, unlocking the full potential of C# to refine your coding skills. Dive into Object-Oriented Programming Techniques, achieving proficiency in design patterns and crucial principles for crafting scalable applications. Enhance your expertise in Advanced Data Access, mastering database optimization and efficient data retrieval specific to .NET Core. Navigate the complexities of Error Handling and Logging, ensuring the creation of robust and secure applications. Tailored for developers seeking to deepen their C# proficiency and leverage the advanced capabilities of .NET Core, this course employs practical exercises and real-world applications. You'll emerge adept at addressing intricate programming challenges, becoming a skilled C# developer in the evolving landscape of .NET Core. Unlock the world of web application development with our 'Web Application Development with ASP.NET Core' course. In the 'Introduction to ASP.NET Core' module, you'll grasp the fundamentals of ASP.NET Core architecture. Next, in 'Building Web APIs,' you'll master the art of creating powerful API services. 'Working with Entity Framework Core' will equip you with database management skills, and 'Authentication and Authorization' will empower you to secure your applications. Harness the potential of ASP.NET Core to build modern, responsive, and secure web applications. Master the art of testing and debugging in .NET Core with our comprehensive course. From unit testing to integration and end-to-end testing, you'll learn many techniques to ensure your .NET Core applications are robust and error-free. Dive deep into debugging tools and methodologies, diagnose issues effectively, and gain the skills needed to maintain the quality and reliability of your .NET Core applications. Whether you're a seasoned developer or just starting, this course will equip you with essential skills to confidently tackle testing and debugging challenges. Learning Outcomes: Advanced Testing Techniques: Acquire a comprehensive skill set covering unit testing, integration testing, and end-to-end testing to ensure the resilience of your .NET Core applications. Proficient Debugging Skills: Dive deep into debugging tools and methodologies, learning to identify and resolve issues effectively, enhancing the overall quality of your codebase. Real-world Application: Gain practical insights into applying testing and debugging techniques to real-world scenarios, preparing you to handle challenges in professional development environments. This course is suited to have a prerequisite of basic understanding of .NET Core development and familiarity with C# programming language. It is recommended for intermediate to senior developers to enhance their skills and stay ahead in the rapidly evolving .NET Core ecosystem, as well as software engineers and quality assurance professionals. After completing this course, you can apply for Job Roles such as .NET Core Developer, Testing Engineer, and Software Architect. Embark on this transformative learning journey, and emerge equipped with the essential skills to confidently tackle testing and debugging challenges in your .NET Core development projects. Level up your skillset and learn to build high-performance, scalable applications with the "Building Scalable Applications with .NET Core" course. The "Building Scalable Applications with .NET Core" course equips you with the knowledge and skills to design and develop high-performance, scalable applications using the .NET Core framework. You'll explore scalability patterns, load balancing, and horizontal scaling, enabling your applications to handle increasing workloads seamlessly. Learn to implement microservices, message queues, and distributed caching to design scalable architectures. Optimize performance through caching, asynchronous programming, and efficient data access. Embrace cloud services for scalability and deploy strategies on platforms like Microsoft Azure. Gain insights into monitoring, measuring, and analyzing performance to identify bottlenecks and optimize your .NET Core applications for ultimate scalability and availability. Why Choose This Course? Comprehensive and practical: Learn from industry experts and apply your newfound knowledge directly to real-world scenarios. Cutting-edge content: Stay ahead by exploring the latest .NET Core features and technologies in-depth. Flexible learning: Access the course anytime, anywhere, and learn at your own pace. This course is your one-stop shop for mastering the art of building scalable, high-performance .NET Core applications. Invest in your skills today and take your career to the next level.

4 course series

Intermediate level

6 months (at 8 hours a week)

https://www.coursera.org/specializations/dotnet-adv-techniques-for-exp-developer

Plagues, Witches, and War: The Worlds of Historical Fiction

107,723

4.6

Bruce Holsinger

University of Virginia

[]

A unique and exciting introduction to the genre and craft of historical fiction, for curious students, aspiring authors--anyone with a passion for the past. Read classics of the genre, encounter bestselling writers of historical fiction, and discover your own historical archive while interacting with a global community of interested readers. In this module Professor Holsinger poses a working definition of historical fiction and sets expectations for the course content and assignments. 2 videos2 readings In this module Professor Holsinger details the history of the historical fiction novel through the 18th and 19th centuries. 6 videos1 assignment In this module author and professor Jane Alison interacts with the seminar class students of Professor Holsinger’s at UVa to discuss her experience writing “The Love Artist.” 4 videos This module reviews the history of historical fiction looking at major works and authors from the 18th and 19th century including The Leatherstocking Tales, William Wells Brown, and Charles Dickens. 4 videos1 assignment This module dives into the works of Anna Katharine Green and Professor Holsinger provides an overview of the forces that are effecting the craft of historical fiction. 5 videos1 assignment In this module author Katherine Howe interacts with the seminar class students of Professor Holsinger’s Historical Fiction class to discuss her book “Deliverance Dane.” 4 videos In this module author Geraldine Brooks interacts with the seminar class students of Professor Holsinger’s Historical Fiction class to discuss her book “Year of Wonders.” 4 videos In this module author Mary Beth Keane interacts with the seminar class students of Professor Holsinger’s Historical Fiction class to discuss her book “Fever.” 4 videos In this module author Yangsze Choo interacts with the seminar class students of Professor Holsinger’s Historical Fiction class to discuss her book “The Ghost Bride.” 4 videos This module consists of a series of interviews with authors and Professor Holsinger. Authors include: Michael McKeon, Eva Stachniak, David Robbins, Matthew Pearl and Andrew Taylor. 5 videos This module has the two voluntary assignments for the course: Identifying a Historical Archive and Writing Historical Fiction. The module also contains the closing remarks video of Professor Holsinger. 1 video1 reading2 peer reviews This module includes the course readings, a list of archival resources, and an overview of the authors included in the course. 3 readings

12 modules

Beginner level

https://www.coursera.org/learn/historical-fiction

98%

Animal Behaviour and Welfare

156,226

4.8

Professor Nat Waran

The University of Edinburgh

['Animal', 'Animal Behavior', 'Veterinary', 'Dog']

Animal welfare has been described as a complex, multi-faceted public policy issue which includes important scientific, ethical, and other dimensions. Improving our understanding of animal welfare, involves the fascinating study of animal behavior as well as the challenge of accessing the emotions of animals. This is the On-Demand version of this course, which means you can start the course at any time and work through the course materials at your own pace. The materials and quizzes will always be available to you. You can come and talk about the course on Twitter using the hashtag #EdAniWelf In this module we'll tell you who we are, what this course is about, how you can use this course to learn more about animal behaviour and welfare, and how you can earn a certificate. 3 videos5 readings Introduction, History and Concepts of Animal Welfare 5 videos2 readings1 assignment Animal Behaviour and Animal Welfare Assessment 6 videos2 readings1 assignment Practical Animal Welfare: Companion Animal Welfare 12 videos2 readings1 assignment Practical Animal Welfare: Farm Animal Welfare 8 videos2 readings1 assignment Practical Animal Welfare: Captive Wild Animal Welfare 3 videos3 readings1 assignment Emotive Animal Welfare Issues 1 video3 readings

7 modules

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/animal-welfare

99%

Distributed Programming in Java

25,044

4.5

Vivek Sarkar

Rice University

['Distributed Computing', 'Actor Model', 'Parallel Computing', 'Reactive Programming']

This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8. Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications. By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multithreading. Why take this course? • All data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency. • In addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. • During the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums. The desired learning outcomes of this course are as follows: • Distributed map-reduce programming in Java using the Hadoop and Spark frameworks • Client-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces • Message-passing programming in Java using the Message Passing Interface (MPI) • Approaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming Mastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering other distributed programming frameworks that you may encounter in the future (e.g., in Scala or C++). Welcome to Distributed Programming in Java! This course is designed as a three-part series and covers a theme or body of knowledge through various video lectures, demonstrations, and coding projects. 1 video5 readings1 programming assignment1 discussion prompt In this module, we will learn about the MapReduce paradigm, and how it can be used to write distributed programs that analyze data represented as key-value pairs. A MapReduce program is defined via user-specified map and reduce functions, and we will learn how to write such programs in the Apache Hadoop and Spark projects. TheMapReduce paradigm can be used to express a wide range of parallel algorithms. One example that we will study is computation of the TermFrequency – Inverse Document Frequency (TF-IDF) statistic used in document mining; this algorithm uses a fixed (non-iterative) number of map and reduce operations. Another MapReduce example that we will study is parallelization of the PageRank algorithm. This algorithm is an example of iterative MapReduce computations, and is also the focus of the mini-project associated with this module. 6 videos6 readings1 assignment1 programming assignment In this module, we will learn about client-server programming, and how distributed Java applications can communicate with each other using sockets. Since communication via sockets occurs at the level of bytes, we will learn how to serialize objects into bytes in the sender process and to deserialize bytes into objects in the receiver process. Sockets and serialization provide the necessary background for theFile Server mini-project associated with this module. We will also learn about Remote Method Invocation (RMI), which extends the notion of method invocation in a sequential program to a distributed programming setting. Likewise, we will learn about multicast sockets,which generalize the standard socket interface to enable a sender to send the same message to a specified set of receivers; this capability can be very useful for a number of applications, including news feeds,video conferencing, and multi-player games. Finally, we will learn about distributed publish-subscribe applications, and how they can be implemented using the Apache Kafka framework. 6 videos6 readings1 assignment1 programming assignment Join Professor Vivek Sarkar as he talks with Two Sigma Managing Director, Jim Ward, and Senior Vice President, Dr. Eric Allen at their downtown Houston, Texas office about the importance of distributed programming. 2 videos1 reading In this module, we will learn how to write distributed applications in the Single Program Multiple Data (SPMD) model, specifically by using the Message Passing Interface (MPI) library. MPI processes can send and receive messages using primitives for point-to-point communication, which are different in structure and semantics from message-passing with sockets. We will also learn about the message ordering and deadlock properties of MPI programs. Non-blocking communications are an interesting extension of point-to-point communications, since they can be used to avoid delays due to blocking and to also avoid deadlock-related errors. Finally, we will study collective communication, which can involve multiple processes in a manner that is more powerful than multicast and publish-subscribe operations. The knowledge of MPI gained in this module will be put to practice in the mini-project associated with this module on implementing a distributed matrix multiplication program in MPI. 6 videos6 readings1 assignment1 programming assignment In this module, we will study the roles of processes and threads as basic building blocks of parallel, concurrent, and distributed Java programs. With this background, we will then learn how to implement multithreaded servers for increased responsiveness in distributed applications written using sockets, and apply this knowledge in the mini-project on implementing a parallel file server using both multithreading and sockets. An analogous approach can also be used to combine MPI and multithreading, so as to improve the performance of distributed MPI applications. Distributed actors serve as yet another example of combining distribution and multithreading. A notable property of the actor model is that the same high-level constructs can be used to communicate among actors running in the same process and among actors in different processes; the difference between the two cases depends on the application configuration, rather the application code. Finally, we will learn about the reactive programming model,and its suitability for implementing distributed service oriented architectures using asynchronous events. 6 videos7 readings1 assignment1 programming assignment The next two videos will showcase the importance of learning about Parallel Programming and Concurrent Programming in Java. Professor Vivek Sarkar will speak with industry professionals at Two Sigma about how the topics of our other two courses are utilized in the field. 2 videos1 reading

7 modules

Intermediate level

https://www.coursera.org/learn/distributed-programming-in-java

94%

Interventions and Calibration

3,065

4.7

Nimalan Arinaminpathy

Imperial College London

['Mathematical Model', 'Infectious Diseases']

This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects. It is important to consider basic relationships between models and data, so, using the basic SIR model you have developed in course 1, you will calibrate this model to epidemic data. Performing such a calibration by hand will help you gain an understanding of how model parameters can be adjusted in order to capture real-world data. Lastly in this course, you will learn about two simple approaches to computer-based model calibration - the least-squares approach and the maximum-likelihood approach; you will perform model calibrations under each of these approaches in R. Once you have captured the basic dynamics of transmission using simple mathematical models, it is possible to use these models to simulate the impact of different interventions. You will study approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions (for example, the effect of vaccination in reducing susceptibility). You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects. 5 videos5 readings2 discussion prompts11 ungraded labs All models answering public health questions first need to be matched, or ‘calibrated’, against real-world data to ensure that model-simulated dynamics are consistent with what is observed. In this module, you will consider basic relationships between models and data. Using the basic SIR model that you've developed so far, you will calibrate this model to epidemic data. Through performing this calibration by hand, you'll gain an understanding of how model parameters can be adjusted so as to order to capture real-world data. 4 videos1 discussion prompt4 ungraded labs In practice model calibration for compartmental models is rarely done by hand. Rather, we construct a function that summarises the goodness-of-fit between the model and the data and then use available computer algorithms to maximise this goodness-of-fit. In these next two modules, you will learn about two simple approaches to computer-based model calibration: the least-squares approach and the maximum-likelihood approach. You will perform model calibrations under each of these approaches in R. 3 videos6 ungraded labs Please note - learning outcomes are the same across both this and the last module. In practice, model calibration for compartmental models is rarely done by hand. Rather, we construct a function that summarises the goodness-of-fit between the model and the data and then use available computer algorithms to maximise this goodness-of-fit. In these two modules, you'll learn about two simple approaches to computer-based model calibration: the least-squares approach, and the maximum-likelihood approach. You will perform model calibrations under each of these approaches in R. 4 videos1 reading2 assignments4 ungraded labs

4 modules

Intermediate level

https://www.coursera.org/learn/interventions-and-calibration

People Analytics

141,125

4.6

Cade Massey

University of Pennsylvania

['Talent Management', 'Analytics', 'Performance Management', 'Collaboration']

People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too. In this module, you'll meet Professors Massey, Bidwell, and Haas, cover the structore and scope of the course, and dive into the first topic: Performance Evaluation. Performance evaluation plays an influential role in our work lives, whether it is used to reward or punish and/or to gather feedback. Yet its fundamental challenge is that the measures we used to evaluate performance are imperfect: we can't infer how hard or smart an employee is working based solely on outcomes. In this module, you’ll learn the four key issues in measuring performance: regression to the mean, sample size, signal independence, and process vs. outcome, and see them at work in current companies, including an extended example from the NFL. By the end of this module, you’ll understand how to separate skill from luck and learn to read noisy performance measures, so that you can go into your next performance evaluation sensitive to the role of chance, knowing your environment, and aware of the four most common biases, so that you can make more informed data-driven decisions about your company's most valuable asset: its employees. 11 videos2 readings1 assignment In this module, you'll learn how to use data to better analyze the key components of the staffing cycle: hiring, internal mobility and career development, and attrition. You'll explore different analytic approaches to predicting performance for hiring and for optimizing internal mobility, to understanding and reducing turnover, and to predicting attrition. You'll also learn the critical skill of understanding causality so that you can avoid using data incorrectly. By the end of this module, you'll be able to use data to improve the quality of the decisions you make in getting the right people into the right jobs and helping them stay there, to benefit not only your organization but also employee's individual careers. 12 videos2 readings1 assignment In this module, you'll learn the basic principles behind using people analytics to improve collaboration between employees inside an organization so they can work together more successfully. You'll explore how data is used to describe, map, and evaluate collaboration networks, as well as how to intervene in collaboration networks to improve collaboration using examples from real-world companies. By the end of this module, you'll know how to deploy the tools and techniques of organizational network analysis to understand and improve collaboration patterns inside your organization to make your organization, and the people working within in it, more productive, effective, and successful. 7 videos2 readings1 assignment In this module, you explore talent analytics: how data may be used in talent assessment and development to maximize employee ability. You'll learn how to use data to move from performance evaluation to a more deeper analysis of employee evaluation so that you may be able to improve the both the effectiveness and the equitability of the promotion process at your firm. By the end of this module, you'll will understand the four major challenges of talent analytics: context, interdependence, self-fulfilling prophecies, and reverse causality, the challenges of working with algorithms, and some practical tips for incorporating data sensitively, fairly, and effectively into your own talent assessment and development processes to make your employees and your organization more successful. In the course conclusion, you'll also learn the current challenges and future directions of the field of people analytics, so that you may begin putting employee data to work in a ways that are smarter, practical and more powerful. 9 videos2 readings1 assignment

4 modules

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/wharton-people-analytics

94%

Advanced Angular Development

Enrollment number not found

Rating not found

Vinay Kumar

LearnQuest

['Building an Angular Application', 'Dependency Injection', 'HTTP Requests', 'Server-Side Rendering in Angular']

This course is designed for Beginners with some background in basic web development experience, HTML, Javascript, and CSS, and who have basic knowledge of Angular. Personally, the learner who is considering being a web developer would have to learn a framework. This is one of the most popular frameworks that will be used in modern web sites and portals. Professionally, the person is an experienced web developer, or web architect, who wants to upgrade to Angular 17, or update their Angular skills. By the end of this course, you will be able to: -Identify Angular Modules -Explain Dependency Injection -Write Observables in Angular -Describe Making HTTP Requests in Angular -Summarize Server-Side Rendering in Angular -Build & Publish an Angular App Welcome to the "Advanced Angular Development" course! In this comprehensive program, we will explore the intricacies of Angular, enabling you to master advanced concepts and techniques. Our journey begins with the first module, "Angular Architecture Essentials," where we will identify the fundamental building blocks that make Angular a powerful and scalable framework. This module covers key lessons such as "Angular Modularity & NgModule," where you'll learn about organizing your application into functional modules; "Angular Services," which will introduce you to creating reusable and maintainable service classes; and "Dependency Injection," a core feature of Angular that allows for efficient and flexible management of dependencies. Get ready to elevate your Angular skills and build robust, high-performing applications! 6 videos6 readings4 assignments1 discussion prompt2 plugins This module is designed to equip you with the knowledge and skills needed to harness the power of reactive programming within your Angular applications. We'll begin with "Writing Observables in Angular," where you'll learn how to create and manage observables, enabling you to handle asynchronous data streams effectively. Next, we'll explore "Angular Lifecycle Hooks," providing you with a deep understanding of how to tap into the different phases of a component's lifecycle for better control and optimization. Finally, we'll cover "Making HTTP Requests in Angular," where you'll master the techniques for performing robust and efficient HTTP operations to interact with external APIs and data sources. By the end of this module, you'll be well-versed in reactive programming concepts and ready to implement them in your Angular projects. 4 videos4 readings4 assignments1 discussion prompt3 plugins Welcome to "Angular Deployment Essentials," the final module of our Angular 17 specialization. This module will equip you with the skills to deploy your Angular applications effectively. You'll explore dynamic components, learning to create and manage components on the fly, and server-side rendering (SSR) with Angular Universal for enhanced performance and SEO. Finally, you'll master the process of building and publishing your Angular app, including preparation, packaging, and deploying to popular hosting services. By the end, you'll be ready to deploy your Angular applications with confidence. Let's get started! 5 videos5 readings4 assignments1 discussion prompt3 plugins

3 modules

Beginner level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/advanced-angular-development

Data Connection and Functionalities in Power BI

Enrollment number not found

Rating not found

Edureka

Edureka

['Database (DB) Design', 'Publishing Dashboard', 'Utilizing AI Metrics', 'report creation', 'Data Management']

Welcome to the course on Data Connection and Functionalities in Power BI. This course is strategically crafted to empower you with the skills needed to construct a robust database and efficiently manage intricate datasets using MS SQL Server. Throughout this course, you will acquire the expertise to develop well-formatted database that are seamlessly designed to integrate with Power BI. During this course, you will explore the industry-specific applications of Power BI and MS SQL Server. By the end of this course, you will be able to: 1. Attain expertise in SQL for proficient data administration within SQL Server. 2. Employ SQL's capacities in orchestrating data to meet the data processing needs of Power BI. 3. Visualize the data from the SQL server to connect it to Power BI 4. Strategies for enhancing data retrieval speed aligned with Power BI 5. Construct DirectQuery connection with Power BI 6. Implement M-functions for data modeling. This long course is designed for Data Analyst, Data Engineer, Data Administrator, and Business Analyst seeking to enhance their analytical and design skills. Prior experience with MS Excel and RDBMS is beneficial but not mandatory for this course. Join us on this journey to enhance your Power BI and MS SQL Server skills and elevate your analytical and design capabilities. Welcome to Data Connection and Functionalities in Power BI. In this module, we will understand the capabilities of MS SQL Server. Learn to model data with the help of ER diagrams to get a holistic view of the database that is to be designed in MS SQL Server. Improve data integrity by reducing redundancy while ensuring efficient database management by handling data with the help of SQL commands. 32 videos7 readings11 assignments1 discussion prompt In the second week of this course, Learn to use built-in functions in SQL Server to simplify functions that can be used for faster data processing. Harnessing the abilities of T-SQL to interact with and manage relational databases in various ways. 18 videos6 readings7 assignments1 discussion prompt In the third week of this course, Apply concepts of data management to prepare a dataset which is suitable for data visualization. Establish a stable connection with Power BI to transfer data from MS SQL Server to Power BI and visualize the data to display hidden insights. 15 videos8 readings5 assignments This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI. 1 video1 reading1 assignment1 discussion prompt

4 modules

Intermediate level

18 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/data-connection-and-functionalities-in-power-bi

Understanding User Needs

33,904

4.7

Kentaro Toyama

University of Michigan

['User Research', 'Affinity Diagram', 'human computer interaction', 'User Experience (UX)']

Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design. Learners will be introduced to numerous techniques to gather data from and about users. This course is part of the User Experience (UX) Research and Design specialization offered on Coursera. What you'll learn: Find out what user needs assessments are, what qualitative research is, and how the two are related. Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology includes knowledge of semi-structured interviews, in-situ observation, and affinity walls. Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls. Gain some experience with semi-structured interviews, in-situ observations, and affinity walls. 3 videos5 readings3 assignments1 peer review2 discussion prompts 3 videos2 readings3 assignments1 peer review1 discussion prompt 5 videos2 readings2 assignments1 peer review1 discussion prompt 2 videos2 readings2 assignments1 peer review1 discussion prompt 2 videos3 readings1 assignment1 discussion prompt

5 modules

Beginner level

https://www.coursera.org/learn/understanding-user-needs

94%

Science Literacy

19,171

4.4

Dr. Claire Scavuzzo

University of Alberta

['Communication', 'Science', 'Experimental Design', 'Media Literacy', 'Science Literacy']

Fake news or good science? In a world where we have access to unlimited information, it is hard to sift through the echo chamber of opinions fueled by emotions and personal biases, rather than scientific evidence. Science Literacy will teach you about the process of science, how to think critically, how to differentiate science from pseudoscience, how indigenous wisdom can inform science, how to understand and design a scientific study, and how to critically evaluate scientific communication in the media. Every module will build your new skill-base with real life examples, and at the end of each module you will have to apply these skills to scientific questions, talking points and controversies in the world. Warning: this course requires an open mind and the ability to self-reflect. In Science Literacy, you’ll hear from special guests: Timothy Caulfield, Canada Research Chair in Health Law and Policy and star of Netflix’s “A User's Guide to Cheating Death” on pseudoscience Dr. Torah Kachur, Scientist and CBC journalist on science communication (and miscommunication!) Christian Nelson, Citizen Scientist and creator of Edmonton Weather Nerdery, on experimental design Metis Elder Elmer Ghostkeeper and Cree Elder Kokum Rose Wabasca, on the holistic nature of Indigenous wisdom and how it can work with the scientific process Associate Professor in Psychology, Dr. David Rast on uncertainty and decision making Welcome to Science Literacy! In a world where we have access to unlimited information, it is hard to sift through the echo chamber of opinions fueled by emotions and personal biases, rather than scientific evidence. Science Literacy will teach you about the process of science, how to think critically, how to differentiate science from pseudoscience, and how to critically evaluate scientific communication in the media. In this first module, we'll hear from indigenous elders about the traditional process of knowledge collection, and how it can be used to inspire, consolidate, and validate scientific hypotheses. We'll introduce the process and purpose of scientific thought and give you some tips and tricks for identifying biases in arguments, as well as how to distinguish common sense and intuition from genuine scientific theories. You'll also meet your presenters Claire and Rachel in the first video, so let's get started, and get scientifically literate! 7 videos10 readings4 assignments In this module, you are going to learn how to differentiate and discriminate science from pseudoscience. We'll look at some common examples of pseudoscience in everyday life, and practice separating them from science, bad science and plain ol' fraudulent science. Finally we'll find out just what it is that makes pseudoscientific language so appealing, how to combat it by staying skeptical and examine the harm that pseudoscience can do, if left unchallenged. 3 videos7 readings10 assignments1 discussion prompt In this module you'll learn a fundamental skill in science literacy- critical thinking! We'll introduce you to the basics of critical thinking before giving you the tools to try and apply some critical thinking to actual case studies. We'll also introduce the concept of correlation and demonstrate the difference between correlation and causation. We'll also examine the importance of replicability and the value (and burden) of extraordinary evidence. Finally, we'll visit the work of Karl Popper and discover why falsifiability lies at the heart of science literacy, and while complex conspiracy theories may appeal to the X Files fans in us, in science, the simplest explanation is often the most likely to be correct. So come on, it's time to get critical! 6 videos19 readings10 assignments In this module, we'll be taking a deep dive, into the particular methods that scientists use to form knowledge and understanding of the world around us. We'll be dissecting the different parts of a scientific paper, learn that there is a way to read even the densest scientific papers and give you an opportunity to test these new skills out. You'll also learn how to construct a scientific experiment, from forming your hypothesis, to choosing your variables and most appropriate method of research design, from natural to survey. After this module, you'll not only be able to rad and understand scientific reports, but you'll be able to design and carry out your own! 4 videos13 readings1 assignment Who knows you better than your peers? Well, if you're science...no one! In this module we'll be looking at all aspects of the peer review system, through which scientific knowledge is published- its pros, and its imperfections. We'll look at how statistics can be used to substantiate scientific theories, but also how they can be used to bolster spurious correlations and dodgy data! We'll also look at how the media communicates and miscommunicates science, and how even scientists themselves can fall into the traps of sharpening, leveling and pseudosymmetry. Finally, we'll explore open data and open access as an option for the improvement of science communication and improving access for the general public to scientific research, so they don't have to rely on social media! 7 videos25 readings8 assignments

5 modules

Beginner level

https://www.coursera.org/learn/science-literacy

86%

Financial Statement and Ratio Analysis for Accountants

6,946

4.8

Brian Hamm

University of Illinois Urbana-Champaign

['Dividend Yield', 'Financial Statement', 'Finance', 'Book Value']

The objective of Financial Statement and Ratio Analysis for MBAs is to provide you with the knowledge and skills necessary to analyze, interpret, understand, and use financial information to make informed decisions. We will discuss financial reporting from a user’s perspective, use a variety of tools to break apart financial reports into meaningful units for analysis, forecast financial statements, and value a firm. This course is intended to give you exposure to the issues facing users of financial statements. You will better understand your role in the financial reporting process if you know how the financial statements will ultimately be used. Financial Statement and Ratio Analysis for MBAs will require you to think critically about issues for which there can be more than one “correct” answer. Hence, your analysis and conclusions must be based on sound assumptions and well-constructed analysis and arguments. You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. 5 videos4 readings1 quiz1 discussion prompt In this module, you will review financial statement and accounting basic principles. 8 videos1 reading2 quizzes In this module, you will learn the differences between the book value, intrinsic value, and market value of equity. 6 videos1 reading2 quizzes In this module, you will obtain an understanding of the most common SEC filings and the information included within them. 9 videos1 reading2 quizzes In this module, you will gain an understanding of common financial ratios and learn how to calculate various balance sheet ratios. 10 videos1 reading2 quizzes In this module, you will learn how to calculate various income statement ratios and how to conduct vertical and horizontal income statement analysis. 5 videos1 reading2 quizzes In this module, you will learn how to compute return ratios and understand their performance drivers. 6 videos1 reading2 quizzes In this module, you will gain an understanding of dividend yield and its calculation, and the valuation role and implications of share buybacks, 3 videos1 reading2 quizzes In this module, you will learn what is meant by accounting quality, understand why "accounting quality" matters and how to detect issues. 5 videos3 readings2 quizzes

9 modules

Intermediate level

https://www.coursera.org/learn/financial-statement-ratio-analysis-accountants

Social Policy for Social Services & Health Practitioners Specialization

6,952

4.8

John Robertson

Columbia University

['differentiate alternative approaches to social policy problems', 'Critique components of a social policy based on their effectiveness at meeting the goals stated in the initiative', 'differentiate alternative approaches to social policy problems', 'Critique components of a social policy based on their effectiveness at meeting the goals stated in the initiative']

In the U.S., social policy accounts for two-thirds of government spending. Knowing how policies are constructed, what values underlie them, and how they succeed or fail makes everyone more effective at work or in their civic role. This specialization includes an HONORS track in which learners will complete a professional social policy analysis. Teachers, health care workers, police, and social workers interact with policy daily, but all of us should care about the impact and effectiveness of these programs. Health and mental health programs, education, housing and income supports, pensions, criminal justice services, veterans’ programs, child protective services, and immigration services create a support system all Americans will draw upon. They also reveal Americans' ethics and values, indicating how we regard and care for our most vulnerable. This specialization will explore the size, structure, and outcomes of U.S. social policy by -comparing it with the approaches of other developed nations. -examining the history of our efforts and probing population effects that shape policy. -looking deeply into support for families in general, poor families, people with disabilities, and the elderly. -mapping out existing policies for housing, education, healthcare, immigration and child welfare. -addressing issues of power, oppression, and white supremacy. By the end of the course the learner will be at home working in, utilizing, and voting in the U.S. welfare system. Applied Learning Project ALL learnerswill engage with the video lectures and use quizzes to confirm their understanding of U.S. social policy and their skills at navigating policy programs. HONORS learnerswill read course-related articles and write a summary and critique in response to each reading. These writing assignments will prepare the HONORS learner to deliver policy-related material in their professional work. Over the sequence, HONORS learners will research a social policy issue, complete a policy analysis, and write and present a professional policy memo based on their research. These research and writing skills will not only enhance the professional capacities they bring to their job but also prepare HONORS learners for masters-level study in social policy if they wish to pursue a graduate degree. Describe the development of the welfare state across developed nations distinguishing choices made in education, health or pensions Evaluate the structures of the US welfare state to explain US choices in education, health or pensions of those seeking aid. Differentiate the public and private welfare state to interpret structures of education, health or pensions to those seeking services Honors: Summarize and critique readings to professionally interpret them. Identify a topic to a professional memo. Differentiate the roots of public aid including the “deserving poor” and the “undeserving poor” Explain technological transformation has impacted on work, incomes & families to understand the needs of those seeking services and to reform system identify the role of privilege and White Supremacy in the social welfare systems to transform the system to a more inclusive structure Honors: Summarize and critique readings to professionally interpret them. Develop a research plan for a professional policy analysis. Understand the the US population: age, family structure, education and race/ethnicity to interpret where US social policy is being pushed. Explain poverty & inequality in the US that results in differing levels of privilege, and opportunity to address the needs of those left behind Describe the policy process – legislative, executive, judicial and voluntary – to act to improve US social policy Honors: Report on research of practices on the ground in preparation for a professional policy analysis. Describe the income and services support system including eligibility and benefits for families, poor families, people with disabilities and seniors Explain the issues involved in addressing the income and service needs of or families, poor families, people with disabilities and seniors Integrate US values debate - the tension between self-sufficiency & investment - in understanding the income and service system for the populations Honors: Develop policy recommendations based on on research of practices on the ground in preparation for a professional policy analysis. Describe the structures of US policy in each of the course’s domains: Housing, schools, healthcare, immigration and child protection Explain the issues involved in developing policy in each of the course’s domains: Housing, schools, healthcare, immigration and child protection Identify the challenges for US policy each of the course’s domains: Housing, schools, healthcare, immigration and child protection Honors: Develop a policy memo for to demonstrate the learner's professional capacity to professionally interpret finding to decision makers.

5 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/social-welfare-policy

Building AI Powered Chatbots Without Programming

77,821

4.7

Antonio Cangiano

IBM

[]

This course will teach you how to create useful chatbots without the need to write any code. Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them. True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. Don't have a website? No worries, one will be provided to you. Chatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding. Gartner predicts that by 2020, 85% of customer interactions with the enterprise will be through automated means (that's chatbots and related technologies). Here is your chance to learn this highly in demand set of skills with a gentle introduction to the topic that leaves no stone unturned. Welcome to Module 1 where you’ll quickly gain insights into the world of chatbots. First, you’ll learn to define what chatbots are. You’ll explore the intriguing history of messengers and learn about the AI-enabled rise of chatbots. You’ll be able to explain who chatbots are for and why chatbots matter. You’ll begin creating the chatbot you will build in this course and create an instance of IBM Watson Assistant to use with your chatbot build. 2 videos2 readings1 assignment1 app item3 plugins In Module 2, you’ll become acquainted with how chatbots work and learn how to identify three primary components of a chatbot: intents, entities, and dialogs. You discover the purpose and use of intents, the first essential component of a dialog skill. You’ll gain skills learning how to create your intents and how to add and import intents using the IBM Watson Assistant Content Catalog and CSV files. You’ll learn how to train your intents and use the “Try it Out” panel to test your intents. 1 video1 reading1 assignment2 plugins In Module 3, you’ll focus on entities, the second key component of a chatbot dialog skill. You’ll gain hands-on skills learning how to create, modify, and delete entities. You'll discover how to use the IBM Watson Assistant Content Catalog and CSV files to add and import entities. Next, learn how chatbots use entity value synonyms and patterns. Then, discover the unique features available when you use system entities, and gain additional, practical skills by using the “Try it Out” panel capabilities to test your entities. 1 video1 reading1 assignment2 plugins In Module 4, you’ll unify your prior learning with the third component of dialogue skills, the dialogue itself. You’ll learn how to define domain-specific intents, how to create a parent node and a child node and discover how chatbots use child nodes to engage in domain-specific conversation. Then explore how chatbots handle conditional actions, in this case, how to respond to location address requests. 2 videos1 reading1 assignment3 plugins In Module 5, you’ll explore the process of deploying a chatbot. First, you’ll create an Assistant and link that Assistant to your dialog skill. Then, you’ll learn how to preview and share your chatbot and obtain a WordPress site and use this site for chatbot testing purposes. Round out your learning by exploring additional features offered by the Watson Assistant WordPress plugin. 1 video1 reading1 assignment2 app items2 plugins In Module 6, you’ll learn about and gain hands-on experience using advanced chatbot features, including training your chatbot to work with context variables, collecting user input, and using slots to set context variables. 1 video1 reading1 assignment2 plugins In Module 7, explore additional advanced chatbot features, such as handling digressions or unexpected questions, so the chatbot can respond more gracefully. You’ll also explore the Analyze tab inside of Watson Assistant to learn how your chatbot is being used, observe the conversations people are having with the chatbot, and determine how you can improve the chatbot. In some instances, your chatbot prompts and responses might call might need to stay on premises. Explore how you can maintain your data privacy and use IBM Watson Assistant and other IBM Cloud services on premises. 1 video2 readings1 assignment2 plugins Welcome to Module 8, your summary module. where it's time to review what you've learned about building chatbots. 1 video In optional Module 9, explore Watson Assistant and learn how to migrate dialog skills to actions. Then further your experience with Watson Assistant by gaining hands-on experience with creating Watson actions, activating dialogs, migrating dialog skills, migrating intents and entities, and calling an action from a dialog. 3 videos2 plugins 1 video1 reading2 assignments

10 modules

Beginner level

https://www.coursera.org/learn/building-ai-powered-chatbots

96%

Compensation and Benefits

19,759

4.7

Brad Boyson

HRCI

['Benefit types', 'Compensation strategy', 'Pay systems', 'Total rewards']

This course examines the intricacies of the total rewards package for employment. You will learn how to structure a compensation strategy and evaluate benefit trends in the market. You will also learn about different benefit types and options as well as various pay systems and HR technology. By the end of this course, you will be able to: ● Explain the most common theories and motivational principles associated with total rewards ● Evaluate how your organization wants to structure compensation strategy ● Explain how job evaluation techniques are used to align compensation strategy with actual pay ● Explain different benefit types and options ● Appraise different types of pay systems No prior experience in Human Resources is needed to be successful in this course. This week you will define elements of compensation. You will also learn the different types of differential pay, making sure you understand when they apply. You will be able to describe the different compensation system elements in motivating employees. 16 videos4 readings3 assignments3 discussion prompts In this upcoming week, you will describe the different elements that need to be considered when determining pay and be able to explain the difference between base pay and pay increases. You will also learn other forms of incentives as compensation. You will also explore different job evaluation techniques and describe pay performance. 24 videos4 readings5 assignments3 discussion prompts In this week, you will learn different benefits types and options. You will be able to explain the different benefit types and options, including healthcare and family oriented healthcare benefits. You will also identify types of retirement plans, highlighting major differences. 26 videos9 readings6 assignments3 discussion prompts This week you will learn the core components of payroll and how to appraise different types of pay systems. You will also evaluate the needs for data protection and describe the types of claims that HR deals with. 17 videos7 readings7 assignments1 discussion prompt

4 modules

Beginner level

https://www.coursera.org/learn/compensation-and-benefits

95%

Business and Marketing Strategies Specialization

10,113

4.5

Dominic Appiah

University of London

[]

In this Specialization you will develop knowledge and skills in the interconnected spheres of business and marketing. This is facilitated by the application of a global perspective, which enables you to recognise market opportunities and how to create a competitive advantage through reflecting on both short and long term operational and marketing driven issues. The ‘Fundamentals of Marketing Strategy’ course is very interactive and designed to offer learners the opportunity to share ideas and engage in discussions with their fellow students. Throughout this course, learners will be given the opportunity to explore key and relevant marketing models and concepts in the formulation of effective marketing strategy. Learners will also engage in research as well as the application of key models and concepts to gain further insights into the implementation of an effective marketing strategy in a competitive business environment. At the end of this course, learners will gain a deeper understanding of the nature of a rather dynamic marketing environment, and will have developed new skills to enable them to conduct audits of the macro and micro-marketing environments for an organisation and most importantly be able to design and implement an effective marketing strategy. Studying international business is essential for everyone who wants to be a well-rounded modern individual. Understanding the main features of the international business environment, mechanisms of cross-border business activities, and motivations to engage in these activities, will help you to make sense of contemporary business context and navigate yourself in our complex world. This MOOC provides essential knowledge about international business, its key actors and recent trends. It combines relevant theoretical frameworks with contemporary business cases and practitioner-oriented learning materials. Students will be able to familiarise themselves with such concepts as globalization, internationalisation, multinationals and institutions, and see how they relate to each other, as well as draw implications to current business practices. The sole task of organisations is to either deliver customers the services that they require, or design, manufacture, and deliver products that customers are after. How do firms and organisations manage the very tasks that they carry out? How can operations themselves give excellence to organisations to enable them to be competitive? Operations management is concerned with the design, planning and control of operating systems for the provision of goods and services. This course will provide an introduction not only into the development of operational systems but more importantly into the how operating methods can help achieve corporate excellence. What does it mean to be a consumer in a consumer society? In this MOOC we think about marketing in terms of what marketing does rather than how we do it. It's not just a case of how we buy the products that are sold to us, but how we are affected by those products and the services that we encounter. This course prepares students for a more analytical understanding in the role that marketing activities play in shaping our consumer cultures and lives. Rather than pose the question of how ‘we’ can sell more stuff to consumers, this course asks, what does it mean to be regarded as a consumer in this moment of history?

4 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/uol-business-and-marketing-strategies

The Water Cycle

Enrollment number not found

Rating not found

Erin Wilson

PepsiCo

[]

In order to access this course without a fee, please follow the below steps: 1. Click the blue ‘Enroll’ button 2. At the bottom of the pop-up window, click the ‘Audit the course’ option 3. For more information on auditing a course, please see details in this Learner Help Center article: https://www.coursera.support/s/article/209818613-Enrollment-options?language=en_US In this course, spread over ten modules, participants will learn about: • the water cycle • hydrology • groundwater models • human impacts on freshwater ecosystems • water governance • water law • the economics of water infrastructure • scenario planning and municipal water 1 video1 reading5 assignments11 plugins 3 assignments11 plugins 3 assignments7 plugins 1 assignment1 peer review

4 modules

Beginner level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/the-water-cycle

Taxation of Business Entities I: Corporations

14,517

4.7

Michael P Donohoe, PhD, CPA

University of Illinois Urbana-Champaign

['Business Analysis', 'Federal Income Tax', 'Tax Accounting', 'IRS Regulations', 'Corporate Tax']

This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes. In this module, you will become familiar with the course, your instructor, your classmates, and our learning environment. This orientation will also help you obtain the technical skills required to navigate and be successful in this course. 3 videos5 readings1 quiz1 discussion prompt1 plugin In this module, you will review the basics of tax law, which includes the origins of taxation, the three sources of tax law, the hierarchy of tax law, and judicial doctrines. Next, you will cover the fundamental features of the different organizational forms: sole proprietorship, partnership, corporation, and limited liability corporation. There will also be a discussion on strategic form choice. Finally, you will be introduced to entity classification for tax purposes. 13 videos2 readings3 quizzes1 assignment1 discussion prompt In this module, you will compare the tax formula for C corporations with the tax formula for individuals. Next, you will examine special tax deductions available only to corporations, such as the dividends received deduction, and the organizational expenditures deduction. You will learn how to calculate corporate income tax liability and compute the corporate Alternative Minimum Tax (AMT). This module will also discuss book-tax differences, and finally, it will discuss compliance procedures. 17 videos2 readings7 quizzes In this module, you will review the taxation of property transactions. You will be introduced to the Sunchaser Shakery which is a firm that you will apply concepts to. Then, you will examine the nonrecognition provisions in property-for-stock transactions and consider possible exceptions and conditions. 27 videos2 readings6 quizzes In this module, you will continue to explore property-for-stock transactions. Assumption of liabilities and transfer of services along with property will be introduced. Next, you will examine the effects of capital contributions on corporations, shareholders, and non-shareholders. You will also analyze the rules for debt and equity regarding capital structure. Finally, investor losses due to worthlessness of debt/equity investments and bad debts will be discussed. 26 videos2 readings7 quizzes In this module, you will learn about corporate non-liquidating distributions. First, earnings and profits (E&P) will be discussed, and you will learn how to calculate E&P. Next, you will analyze the treatment of cash distributions followed by property distributions. You will then cover the treatment of stock distributions. Finally, treatment of constructive dividends and qualified dividends will be explored. 25 videos2 readings8 quizzes In this module, you will explore redemptions and partial liquidations, which is when shareholders sell stock back to the issuing corporation in exchange for cash. You will learn about the five types of qualified redemptions, which are applied after you have considered stock attribution rules. Finally, you will analyze how these redemptions are treated by both the shareholders and the corporation. 23 videos2 readings6 quizzes In this module, you will be introduced to corporate liquidations. Some basic information on liquidations will be given, followed by a discussion on corporate tax treatment of complete liquidations. Also, the tax effects on shareholders will be analyzed. Finally, you will examine the tax effects on both the parent and subsidiary in parent-subsidiary liquidations. 27 videos2 readings6 quizzes In this module, you will explore corporate reorganizations. First, some background on the history of corporate restructuring will be given. Next, you will be introduced to the different types of tax-deferred reorganizations. Finally, you will learn analyze the tax consequences of these reorganizations. 16 videos4 readings8 quizzes1 discussion prompt1 plugin

9 modules

Intermediate level

https://www.coursera.org/learn/taxation-business-entities-part-1

96%

Python Basics for Online Research Specialization

2,071

3.6

Seth Frey

University of California, Davis

[]

If you do not yet code and want to learn, this Specialization has a goal to soften the learning curve for Python. It has four main objectives: To inspire you to code To help you think in code To teach you technical concepts to code To give you useful examples of things to do in code There is a steep learning curve on learning to code, and that is why this Specialization emphasizes motivation. You have to want to learn to code and stick with it through multiple learning activities and your own experimentation, research, and practice. This single Specialization will not teach you to code. It will, however, get you started with a mindset for coding, understanding of Python technical concepts, and an appreciation of what can be done with Python to access and interact with data on the Internet. These skills are increasingly essential for researchers. The wealth of data that is now available to researchers who can use Python and other tools to access it is transforming academic disciplines, including the social sciences. But there's a gap between the questions about human nature that we know internet data can cast light on, and the raw, messy reality of code and data. Each course in this Specialization has code demonstrations that you run that show how to use Python to bridge the gap and to discover things about ourselves, our friends, each other, and society, as we interact with the Internet in code. We look forward to being a part of your continuing education! Applied Learning Project While no formal requisites are necessary to join this specialization, you will be accessing and completing assignments in Jupyter Notebooks using the programming language Python in various APIs. On the technical skills side, this specialization will teach basic Python types, variables, code flow, and modules, up to functions. Learn why it's worth learning to code and what an API is by dealing in the basic currency of the social Internet. Run "code notebooks" and discuss the psychological part of learning code to make you feel more prepared to see yourself as someone who codes. Apply the programming language Python and bridge between the basics of a programming language and interacting with the Internet in fun new ways. Using Python, you'll learn how to say one phrase in over 100 languages in Google Translate, and take simple phrases by translating them. Learn strategies for getting coding help and run code to automatically access thousands of pages on Wikipedia. Practice playing with text, numbers, true/false values in Python and learn how to handle error messages and ask for help. Learn how Python lets us change, grow, access, and play with lists. Run code that accesses Twitter from Python, interact with virtually every aspect of Twitter, and learn about social media bots. Learn how to play faster and looser and more casual with code, skimming and copying code from the Internet. Discuss code flow and the order that your computer reads the code you write. This introduces us to a whole other level of thinking in code. Logic can be harnessed to do useful stuff. We'll make it concrete by performing tasks like building an anagram finder. Apply Python by robocall and spam text yourself through the Twilio API. Explore your own web browsing habits and manage code complexity and reading manuals. Discuss how Python understands complex and real world things, and practice looking under the hood of a single tweet. Apply the building blocks of Python and turn it into a little language for drawing pictures. Practice "debugging" code and learn to think the way code thinks.

4 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/python-for-social-science

Auditing Generative AI: Strategy, Analysis & Risk Mitigation

Enrollment number not found

4.6

ISACA Professional Development Team

ISACA

['Operational Risk Management', 'Risk Management Information Systems', 'Artificial Intelligence', 'Machine Learning Methods', 'Applications Of Artificial Intelligence']

Rapid advancements of generative AI technologies has heightened the criticality of an auditors ability to provide assurance that generative AI implementations meet business objectives and are free of bias. This course introduces IT auditors to generative AI, discusses the importance of AI strategy, explores use cases and addresses challenges associated with auditing generative AI. With background information established, auditors are introduced to important considerations, an auditing methodology and process to successfully audit generative AI. This course leverages video, use cases, and knowledge checks to enhance your learning experience. Why This Course Matters: This course equips individuals with the necessary skills to navigate the complexities of auditing generative AI effectively, covering essential concepts, strategy formulation, risk evaluation, and auditing methodologies. By addressing unique challenges and providing assurance, auditors are empowered to mitigate concerns and contribute to the responsible use of generative AI technologies. 10 videos4 readings10 assignments

1 module

Intermediate level

2 hours to complete

https://www.coursera.org/learn/auditing-generative-ai-strategy-analysis--risk-mitigation

Reimagining Education for Equity

Enrollment number not found

Rating not found

Professor Poonam Batra

Indian Institute for Human Settlements

['Critical Pedagogy', 'Teacher Development', 'Diversity Equity And Inclusion Initiatives', 'Education Policy', 'Critical Thinking']

What role does education play in achieving sustainable development goals? How can education drive transformative changes leading to environmentally and socially just societies? How can key stakeholders be involved in creating inclusive, equitable, and empowering learning environments that prepare individuals and communities for a rapidly changing world? This course addresses these questions by first examining and problematising the role education has played in sustaining social inequalities; and then deliberating on how education can be transformed to create empowered teachers and students towards attaining an equitable, just, and sustainable future. The course derives from the results of a four-year, four-country research programme on ‘Transforming Education for Sustainable Futures’ or TESF. It is led by Professor Poonam Batra, a TESF co-investigator and one of India’s leading academics with four decades of interdisciplinary experience across elementary, teacher and higher education practice and policy in India. The course is designed to make TESF research and examples of transformational education accessible to practising teachers, student-teachers, the wider teacher education and policy community, and other stakeholders with an interest in education. In this introductory module, you will learn a few important details about the course, including the objectives of this course, who the instructors and the course team are, as well as important information to navigate the course. You will also find a link to a Pre-Course Survey – please do fill this as it will help us get to know you better and prepare the course accordingly. 1 video3 readings1 discussion prompt1 plugin In this module, you’ll become familiar with the development of the education system from Colonial India to Independent India and the continued impact of policy trajectories on school and teacher education. You will also have the opportunity to reflect on the potential role of teachers in achieving high-quality education. 4 videos1 reading1 assignment2 discussion prompts By the end of this module, you would develop some insight into how the concept of childhood evolved and how this understanding is critical to designing school curriculum and pedagogy. Engaging with the progression of the Right to Education Act would help in understanding how children’s rights are sought to be met in a plural and hierarchised society and how the role and accountability of the state is critical in safeguarding children's rights and their well-being. 6 videos1 reading1 assignment3 discussion prompts This module helps you recognise children as epistemic entities and the importance of encouraging children’s voice and agency in achieving their true potential. This module will assist you in cultivating capacities and dispositions to appreciate the diversity of children’s backgrounds and to integrate their lived experiences in the teaching-learning process. 7 videos1 reading1 assignment3 discussion prompts In this module, you will develop tools and capacities to understand, engage with and integrate diverse lived experiences of students in the teaching and learning process. You will be able to understand how formal schooling processes, communities, larger social and political contexts facilitate or hinder the inclusion of children in classrooms.You would also engage with ideas of decolonising school curriculum as part of a wider project of ‘decoloniality’ which implies dismantling relations of power and conceptions of knowledge that tend to reproduce hierarchies based on caste, gender, class, community, and region. 8 videos1 reading1 assignment3 discussion prompts This module of the course offers you opportunities to reflect upon the nuanced and deep influence that socio-cultural structures of class, caste, and community have on gender and how classroom pedagogy can be reinvented to equip teachers to become sensitive and socially responsive to the unequal nature of gender and to seek transformative pedagogies. 6 videos1 reading1 assignment3 discussion prompts In this final module, you will get the opportunity to check your understanding of all that you've learnt so far with the graded assessment in the form of a multiple-choice questionnaire. You will also hear from our instructors on what they hope the ideal key takeaways are for you from this course. Finally, please fill in the Post-course Survey – this will help us understand your journey during the course and improve it to make learning more meaningful. 1 video1 assignment1 plugin

7 modules

Intermediate level

20 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/reimagining-education-for-equity

A Voice of Their Own. Women's Spirituality in the Middle Ages.

15,612

4.4

Delfi I. Nieto-Isabel

Universitat de Barcelona

[]

Have you ever heard about medieval mysticism or medieval heresies? Have you ever wondered about the particular role women played in medieval spirituality? Do Hildegard of Bingen, Clare of Assisi, Marguerite Porete, the Cathar ladies or Isabel de Villena ring a bell? Have you ever felt like you wanted to know more about them? If your answer to any of these questions was yes, then this MOOC, A voice of their own. Women’s spirituality in the Middle ages is what you were looking for. A Voice of their own is much more than a course. It is an invitation to follow the paths traced by the spiritual experiences of medieval women. It is a challenge that, should you let it, will take you to places where you will see and hear things that will astonish you. Here you will find medieval women playing a major role in the spiritual transformations of the Middle Ages, founding monastic movements and orders, writing about their experiences, traveling the roads of Europe to spread their ideas, creating spiritual landscapes, as well as both material an intangible architectures. In this MOOC, these women will speak to you from the past, and you'll see that their voices still hold great validity in the present. In this Unit you will get an idea of all the topics that will be discussed throughout this course and you will start to learn about the many roles women adopted in the spirituality of the Middle Ages. 8 videos1 assignment This Unit focuses on the world of medieval nunneries from the Early to the Late Middle Ages. Here you will find the early varied forms of monasticism and also the well-established orders of the end of the medieval period. You will learn about enclosure, about life in nunneries and about the men and women who helped found and support them for their own purposes. 7 videos1 assignment 7 videos1 assignment1 peer review 7 videos1 assignment 7 videos1 assignment1 peer review

5 modules

Beginner level

https://www.coursera.org/learn/womens-spirituality

94%

Strengthening Real World Relevance in the Classroom

Enrollment number not found

Rating not found

Intel SFI Instructor

Intel

['Educational Administration', 'Lesson Planning', 'Service Learning']

Educators will analyze the shift in academic outcomes affected by the fast evolution of industries and how they can incorporate self-learning elements into lesson plans to help learners harness technology for the community's good. It also helps educators develop ways to assess learning as they adopt authentic learning strategies by crafting assessment plans to help learners be more successful in authentic learning contexts. At the end of this course, educators will be able to: Apply strategies in choosing real-world issues for learning. Design a lesson uniting real-world issues with academic outcomes. Analyze the strengths and pitfalls of technology in community applications. Demonstrate an understanding of the concept of service-learning education. Apply authentic assessment methods to learning practices. Explain the rationale of different assessment methods. In this module, we explore how to merge real-world issues with academic outcomes for deeper school experiences for learners. The ways in which industries are evolving in a fast-paced world have called for a shift in academic outcomes. Manifested by skills, knowledge, and abilities that learners encounter in their learning experiences, these outcomes can be met by incorporating real-world issues into the curriculum. 1 video1 reading1 peer review1 plugin This module looks at how we can incorporate elements of service-learning into learning experiences. It also explores the strengths and pitfalls of technology and how we can identify the appropriate use of technology in problem-solving. 1 video1 reading1 peer review1 plugin Educators will analyze the shift in academic outcomes affected by the fast evolution of industries and how they can incorporate self-learning elements into lesson plans to help learners harness technology for the community's good. It also helps educators develop ways to assess learning as they adopt authentic learning strategies by crafting assessment plans to help learners be more successful in authentic learning contexts. In this module, educators will develop ways to assess learning as they adopt authentic learning strategies. Assessment, as a crucial part of teaching, can impact a learner's development. Research by Paul Black and Dylan William (1998) shows that consistent formative assessment in the classroom can develop a learner's achievement. Educators will practice crafting an assessment plan to help learners be more successful in an authentic learning context through varied assessment approaches. 1 video1 reading1 peer review1 plugin

3 modules

Beginner level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/strengthening-real-world-relevance-in-the-classroom

Defensive Python

2,062

4.6

Howard Poston

Infosec

[]

This course demonstrates the use of Python for network analysis to detect and hijack suspicious connections. 7 videos1 assignment

1 module

2 hours to complete

https://www.coursera.org/learn/defensive-python

Use C++ to build a Crypto Trading Platform: Final System

2,283

4.6

Dr Matthew Yee-King

University of London

['Syntax', 'Iteration', 'Compiler', 'Exception Handling']

This course is the fifth of five courses aiming to help you to become confident working in the object-oriented paradigm in the C++ language. This specialisation is for individuals who want to learn about objected oriented programming. It's an all-in-one package that will take you from the very fundamentals of C++, all the way to building a crypto-currency exchange platform. During the five courses, you will work with the instructor on a single project: a crypto-currency exchange platform. Whilst building the project, you will learn about a range of programming techniques from basic control flow and input/output through to file parsing, object-oriented techniques and user interaction on the console. In this fifth course, you will complete the crypto-currency exchange platform. You will learn about modelling real-world entities as a class, the use of static vs non-static functions, and create a wallet class for the final version of the crypto application. Upon completing the course, you will be able to: * Use object interactions to achieve complex functionality through a simple command sequence * Explain how to model a familiar real world entity as a class with data and functions * Decide when it is appropriate to use static or non-static functions This week you will learn about object interactions, modelling real world items with classes and static and non-static functions. 11 videos5 readings10 assignments1 peer review1 ungraded lab This week you will be focusing on your assignment and reviewing the topic. 4 videos2 readings4 assignments1 discussion prompt1 ungraded lab

2 modules

Intermediate level

https://www.coursera.org/learn/cplusplus-crypto-v

Management Consulting Specialization

19,704

4.8

John Kim

Emory University

['Problem Solving', 'Recruiting', 'Consulting', 'Management Consulting', 'Presentation', 'Problem Solving', 'Recruiting', 'Consulting', 'Management Consulting', 'Presentation']

This covers all the consulting basics. Why do clients hire consultants? What are the top 10 superpowers that consultants have? How do you get a consulting job? How do you break-down problems? Why do consultants love data? How do consultants get smart quickly? How can you persuade others with your thinking, analysis, presentations, and words? Applied Learning Project You will be a consultant-in-training who needs to apply what you're learning to the assignments included in each course. It will help you think and act like a management consultant at your work and when recruiting for a consulting job. In addition to practicing with some consultant tools shared in the courses, other assignments will help prepare you for getting the job. What do management consultants do? What are some of the tools and skills that I can apply to my work? Why is problem solving a super-power? What are consulting firms looking for ? What do consulting projects look like? How should I network with firms? What is the key to case interviews? How to break down problems? How to use hypotheses? How to request data? How to clean data? How to use a DMAIC process improvement framework? How to get smart quickly on a new topic? What is industry analysis? How to benchmark companies? How to make great excel models? How to write efective proposals? How to "sell without selling?" What is the pyramid principle? What are consulting frameworks? How to present well?

5 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/managementconsulting

Meta Android Developer Professional Certificate

49,875

4.7

Taught by Meta Staff

Meta

['Kotlin Playground', 'practice using and extending protocols.', 'declare and initialize different types of variables', 'create arrays', 'create control flow patterns using conditionals and loops']

Have you ever wanted to build your own mobile app? This certificate will teach you the top Android programming languages and frameworks used for building apps like Facebook and Instagram, and how to create your own Android application. In this program, you’ll learn: Essential Android programming concepts and the tools needed to develop applications How to use the Kotlin Playground Create user interfaces (UI) for mobile apps using Android Studio Manage the lifecycle and data collections of mobile applications Work with web technologies and persistent data on Android applications Describe best practices for designing the UI and experience for mobile applications Create cross-platform applications using React Native Prepare for technical interviews for Android developer roles Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property. Applied Learning Project You’ll engage in hands-on activities and build a project-based portfolio that you can show to recruiters and potential employers when interviewing. Throughout each course, you’ll complete activities using use a lab environment or an application to perform tasks such as: Design the UI using Interface Builder Create simple UI using the Layout Editor Build a native Android mobile app In the final course, you will also complete a Capstone project where you will create an Android app. Define the Fundamental concepts of Android app development Set up and explore the Android Studio interface, configurations and built-in tools Use Kotlin Playground Create a simple Android app Implement Version Control systems Navigate and configure using the command line Use a GitHub repository. Create a GitHub repository Manage code revisions Practice building and using functions Practice different types of comparisons using operators Use Kotlin to solve a coding challenge Review and apply the fundamentals of programming Describe the fundamentals of User Experience (UX) design and research Describe accessibility considerations in design Practice developing user empathy through research Create wireframes and prototypes in Figma Use UI component libraries to build Android UI Compose UI using Kotlin UI views Build a simple UI using the Layout Editor Create a simple Android UI Implement an Android application with an Activity. Implement advanced object-oriented features in Android. Use mocks and fakes to perform unit testing in Android. Use a Lambda expression to define a function as an object. Use collection processing methods for multistep collection processing. Review some of the most useful tools and packages available to a Kotlin developer Apply Kotlin coroutines in Android applications Integrate code from other languages into Kotlin. Build a data driven Android app Create simple JavaScript code Create and manipulate objects and arrays Write unit testing using Jest Use reusable components to render views where data changes over time Organize React projects to create more scalable and maintainable websites and apps Use props to pass data between components. Create dynamic and interactive web pages and apps Use forms to allow users to interact with the app. Build an application in React React Native is an open-source framework for building cross-platform applications (apps) using React and the platform’s native capabilities. In this course, you will move from the basics of React to a more advanced implementation using React Native. You’ll review a wide range of different React components and ways of styling them. And you’ll get to practice using different mobile methods of interactivity with React Native. Some of the basics skills you will learn include: • Building a single-page React Native app and styling it using basic components • Building large lists and configuring user inputs within a React Native app • Using the Pressable component to build buttons and other clickable areas • Setting up an app with React Navigation and moving between screens You’ll gain experience with the following tools and software: • React • React Native • Front End development languages (HTML, CSS and JavaScript) • JSX • Code editing programs, such as Expo and Visual Studio Code This course is for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you will need foundational knowledge of React basics, internet navigation skills and an eagerness to code. Build and style a user interface (UI) using fragments and views Use Kotlin and MVVM architecture to design an efficient and engaging app Fetch data from an application programming interface (API) and make use of LiveData Demonstrate clean and bug free coding while keeping an eye on optimization Prepare for a coding interview Prepare for a Meta interview Solve problems using code

12 course series

Beginner level

8 months (at 7 hours a week)

https://www.coursera.org/professional-certificates/meta-android-developer

Introduction to Abnormal Psychology

26,339

4.8

Jen D'Andrea

Wesleyan University

[]

This course presents an overview of the major domains of abnormal psychology. The course is made up of 5 modules, the first of which provides an introduction to the field through discussions of the concept of psychological abnormality, assessment and classification, and the major models in use for understanding psychological abnormality. The remaining four modules provide overviews of major domains of abnormal psychology, including mood disorders, anxiety disorders, stress and trauma-related disorders, and schizophrenia spectrum disorders. Lectures within each of these modules address symptoms and behaviors, epidemiology, causal theories, treatment interventions and multicultural findings and considerations. The course also seeks to assist participants with becoming more adept at noticing when a family member, friend, or colleague may be experiencing psychological distress, as well as develop the comfort level required for initiating an empathic, compassionate conversation with a person of concern. Toward this goal, the last lecture of each module is dedicated to the topic “Foundations of Empathy.” This course is not designed to assist participants with resolving their own experiences of psychopathology, nor it is intended to prepare participants to act as psychotherapists for distressed individuals in their personal lives. 8 videos6 readings1 assignment 6 videos3 readings1 assignment 6 videos4 readings1 assignment 6 videos3 readings1 assignment 6 videos3 readings1 assignment

5 modules

Beginner level

https://www.coursera.org/learn/intro-abnormal-psych

98%

Geospatial Techniques for Engineers Specialization

Enrollment number not found

Rating not found

Subject Matter Expert

L&T EduTech

['Creating maps and visualizations using GIS software for engineering applications', 'Integrating web GIS and mobile GIS technologies for real-time data monitoring']

The Geospatial Technologies for Engineers specialization is meticulously designed to equip learners with an in-depth understanding of geospatial tools and their application in engineering projects, leveraging L&T’s extensive industry expertise. Participants will delve into foundational concepts such as surveying, GNSS navigation, and advanced sensing systems like LiDAR, gaining hands-on experience in optimizing site management and enhancing project oversight through cutting-edge geospatial solutions. This specialization encompasses essential GIS fundamentals, data management, and spatial analysis techniques. Learners will investigate the integration of web and mobile GIS technologies for real-time monitoring and decision support, guided by L&T’s advanced methodologies and industry insights. The advanced module focuses on mastering QGIS, where participants will perform complex spatial analyses, 3D mapping, and satellite data integration. Ultimately, the course integrates theoretical knowledge with practical application, providing learners with a thorough understanding and practical expertise in various aspects of geospatial technologies across industries. Target Learners Post-Graduate Geoinformatics/Remote Sensing students, practicing Engineers in geospatial applications, Civil/Geospatial/Environmental Studies faculties & GIS professionals and project managers in spatial data analysis. Prerequisites Basics of Civil Engineering, Surveying, GIS & Construction Techniques. Applied Learning Project Participants will acquire skills to apply geospatial thinking and technologies across engineering projects, optimizing construction site management, enhancing spatial data analysis, and leveraging GIS for informed decision-making. This will improve project efficiency and accuracy. Learn fundamental geospatial concepts and their application in construction, from spatial data communication to practical case studies. Explore surveying methods, equipment like GNSS and electronic total stations, and practical uses in mapping and data processing. Understand remote sensing, photogrammetry, LiDAR, and UAVs, with a focus on data collection, imaging, and geospatial engineering solutions. Learn GIS basics, data models, practical applications, and hardware requirements, with real-world examples and applications. Master GIS database management, including RDBMS, SQL, and advanced spatial analysis techniques like overlay and cluster analysis. Explore web and mobile GIS, system integrations, dashboards, and future trends, with hands-on projects and case studies in geospatial technology . Learn QGIS basics, data formats, and practical skills for handling vector/raster data and using tools like Field Calculator. Master map styling, georeferencing, and digitization, including creating choropleth maps and integrating GPS data. Explore advanced spatial analysis, satellite data classification, terrain modeling, and geospatial application development with QGIS.

3 course series

Advanced level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/geospatial-techniques-for-engineers

Accessibility to the Scenic Arts

3,220

4.7

Pilar Orero

Universitat Autònoma de Barcelona

[]

Is your show accessible? When we ask about accessibility to shows, most people think about access for wheel chairs: the sitting arrangements and where their WC is accessible. When we ask for more details, people usually think about producing a show where persons with disabilities are performing, for example producing a show where there is some dancing with people on wheel chairs. Accessiblity for us is a comprehensive concept that goes from purchasing a ticket through an accessible website to catching the bus back home after the performance on accessible public transport. Accessible webs, accessible web content, accessible transport, subtitling, audio description... the possiblities are endless. Why is this course useful? To make the venue and the production accessible to all citizens, and specially to persons with disablities. The course will go through the many accessible services you can offer, and how to implement them in your venue or your production. The final aim is to mainstream accessibility so all people have equal access to culture. 1 video7 readings In this unit the participants learn about three essential concepts: First they will learn more about the different audiences at which accessibility may be aimed and the different types of access support they might need. Second, the concepts of ‘inclusion’ and ‘accessibility’ will be introduced and, more in particular, they will learn how these can be defined. Finally, this unit looks at legislation on inclusion and accessibility. More in particular, the participants will learn about the various types of international and European legislation on inclusion and accessibility. 5 videos3 readings1 assignment Unit 3 “Venue Accessibility” addresses barriers to access to cultural venues and how to remove them. Buildings such as theatres or opera houses or open-air venues used for festival purposes should be as accessible as possible. Based on a distinction between different venue types, this unit covers the accessibility chain, the FFZ principle, the accessibility of indoor and outdoor locations as well as temporary locations. Furthermore, it addresses forms of wayfinding, signs, maps and accessibility information as well as adaptations of the venue and assistance animals. Finally, it provides recommendations for assessing and improving venue accessibility. 13 videos1 assignment 16 videos2 readings1 assignment This unit is about putting the knowledge about the access facilities presented in Unit 3a into practice, and covers the general and specific practical steps involved in implementing the access facilities in advance of the event, on the day of the event and after the event. 15 videos1 reading1 assignment1 peer review In this unit you will learn about communicating and promoting accessibility, some may say “accessibility PR”. More in particular, you will learn to identify the relevant stakeholders and suggest strategies to involve them. You will learn what an accessibility policy for a cultural event or venue is and how to implement it. You will learn how to promote accessibility for a cultural event or venue, using both traditional and online media in an accessible way. 14 videos1 assignment1 peer review In this unit, the participants learn about managing accessibility in a cultural venue or on a cultural event. They learn to plan and coordinate, they learn to communicate about accessibility and gather user feedback to be able to look into some aftercare. While managing these things they also think about solving conflicts and managing a team of coworkers. In the different learning materials of which the unit is composed, the participant is presented with charts to help managing the accessibility and with tips and tricks to do so via reading materials and video lessons. 12 videos1 reading1 assignment1 peer review 1 video1 peer review

8 modules

Intermediate level

21 hours to complete (3 weeks at 7 hours a week)

https://www.coursera.org/learn/accessibility-scenic-arts

Data Privacy and Protection Standards

Enrollment number not found

Rating not found

Paweł Mielniczek

Coursera Instructor Network

['Data Privacy Regulation Analysis', 'Data Protection Strategy Implementation', 'Compliance Management', 'Ethical Data Management', 'Data Breach Handling']

In today's digital age, Data Privacy and Protection Standards are pivotal for organizations across all sectors to safeguard sensitive information, comply with international regulations, and maintain the trust of clients and customers. This course provides a comprehensive understanding of the foundational principles of data privacy, the latest in protection standards, and practical approaches to implementing robust data protection measures. Participants will explore key regulations such as the GDPR and CCPA, delve into technical and organizational strategies for data security, and learn how to handle data breaches effectively. Through this course, learners will gain insights into the rights of data subjects and the ethical considerations surrounding data protection. Upon completion, participants will be equipped with the knowledge to navigate the complexities of data privacy laws and implement measures that ensure data integrity and confidentiality. This course is designed to empower professionals to build and maintain data protection frameworks that align with global standards and foster a culture of privacy within their organizations. This course is tailored for privacy and IT professionals, security analysts, compliance officers, and data protection specialists working across various sectors. It is also highly relevant for business leaders, project managers, and legal advisors responsible for managing and safeguarding personal data within their organizations. Additionally, individuals interested in understanding data privacy laws, ethical considerations in data handling, and implementing effective data protection measures might find this course valuable. No specific prerequisites are required for this course. A basic understanding of information technology and familiarity with general business operations will be helpful but are not essential. An interest in data privacy, protection standards, and a commitment to ethical data management practices will greatly benefit participants. After completing this course, learners will analyze global data privacy regulations like GDPR, CCPA, and others, gauging their impact on businesses worldwide. They'll apply data protection strategies, employing technical and organizational measures to secure personal data and prevent breaches. Additionally, they'll develop skills in ensuring compliance by conducting data protection impact assessments and implementing necessary policies, establishing a robust framework for ethical data handling and regulatory adherence. This course provides a comprehensive understanding of the foundational principles of data privacy, the latest in protection standards, and practical approaches to implementing robust data protection measures. Participants will explore key regulations such as the GDPR and CCPA, delve into technical and organizational strategies for data security, and learn how to handle data breaches effectively. 11 videos4 readings1 assignment2 discussion prompts

1 module

Beginner level

1 hour to complete

https://www.coursera.org/learn/data-privacy-and-protection-standards

Music Production Capstone

4,909

4.8

Stephen Webber

Berklee

['Music', 'Music production', 'music editing', 'Music mixing']

After successfully completing the three prior courses of the Music Production Specialization, this capstone experience is your chance to use your talent and accumulated knowledge to create and submit a finished, fully produced song. As you go through milestones, you will work on your own or with other musicians to develop a song and vision for the finished product. You will then plan and execute its production, including recording, editing, mixing, and posting the finished product. All along the way, you will receive feedback from the peer review process, allowing you to tweak and refine your finished song. Welcome to the Music Production Capstone! Before you begin the course, we will cover all the details about the course and what you'll need to know to get the most out of your experience. 1 video5 readings1 assignment This week, we will focus on everything that needs to be done before you head into a recording session. We'll cover how to use reference tracks and analysis to develop an emotional timeline for your song, as well as how to schedule and work with other musicians. 2 videos1 reading1 peer review This week, we will dive into the recording session. We will discuss what your role is as a producer and what you need to focus on throughout the session. We'll also share some ideas on how to create a comfortable environment and how to make sure your session is successful. 3 videos1 reading1 assignment1 peer review This week, we'll focus on editing the tracks from your session last week. Chrissy, Loudon, and Stephen will share how they approach the editing process and offer a few tips and tricks to keep in mind while you edit your project. 3 videos1 reading1 assignment1 peer review In this final week, we will dive into mixing and mastering your projects. Depending on the genre of your song, the way you approach the mixing and mastering stage may be very different. We will discuss various ways to approach the mixing stage, how to tell when your mix is complete, and finally, strategies to mastering your project. 6 videos2 readings1 assignment1 peer review

5 modules

Intermediate level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/music-production-capstone

FinTech: Foundations, Payments, and Regulations

56,745

4.6

Christopher Geczy

University of Pennsylvania

[]

In this course, you’ll learn the key components of modern-day investment strategies which utilize fintech. Professors Natasha Sarin and Chris Geczy of the Wharton School have designed this course to help you understand the complex structure of payment methods and financial regulations, so you can determine how fintech plays a role in the future of investing. Through analysis of robo-advising and changing demographic forces, you’ll learn how basic elements of trust underlie complex choice architecture in investments and impact investing. You’ll also explore payment methodologies and how fintech is emerging as an entrepreneurial solution to both investments and payment systems. By the end of this course, you’ll be able to identify different financial technologies, and understand the dynamic between the innovations and regulations, and employ best practices in developing a fintech strategy for yourself or your business. No prerequisites are required for this course, although a basic understanding of credit cards and other payment methods is helpful. This module was designed to give you foundational overview of FinTech and robo-advising. You’ll identify the main goals of fintech and forecast the future of robo-advising by discussing Vanguard’s Personal Advisor Services. Through defining the market size, you’ll learn key areas in which fintech and financial apps have gained traction. And finally, you will analyze the reported valuations of selected robo-advisors and observe the growth of fintech in both insurtech and global markets. By the end of this module, you’ll be better able to assess the value of FinTech and robo-advising, and gain a better understanding of the future of fintech in various financial markets. 8 videos1 reading1 assignment In this module, you’ll examine new attitudes towards financial advice and trust in the financial industry. Through close examination of the financial behaviors of millennials, you’ll gain a deeper understanding of the effects of technology in changing personal financial practices. You’ll also explore the emergence of risk aversion and impact investing due to changing ideas about the purpose of businesses. Then you’ll discuss the key components and characteristics of both a successful financial advisor and financial algorithms. By the end of this module, you will better understand the future of investing, and be able to utilize trust to overcome volatile markets and navigate complex decisions. 6 videos1 reading1 assignment In this module, you’ll be introduced to the foundations of payment methods, and focus more closely on the history and regulation of payments. You’ll begin by examining the history and current global trends in payment methods by analyzing UnionPay. Then you’ll look at the evolution of credit cards, the two-sided payment markets, and the inherent issues of the credit card payment system. You’ll learn key aspects behind complex payment processes, the regulation behind payment methods, and promising solutions from fintech for concerns in the credit card market. By the end of this module, you’ll have a richer understanding of the growth of payment systems and their regulations, and of the impact of fintech in the future of payment systems. 11 videos1 reading1 assignment In this module, you’ll be introduced to the concerns and innovations in financial regulation and focus more closely on the emergence of fintech. By discussing theoretical criticisms of regulation, you’ll gain a better understanding behind balance between regulation and innovation and the tradeoffs that come with the balance. Through analyzing the Great Recession of 2008 and its impact on regulations in the financial industry, you’ll study the emergence of fintech as an entrepreneurial solution for financial businesses. Through identification of fintech and outlining its massive growth, you will evaluate the main benefits and issues within this the emerging field. By the end of this module, you’ll be able to identify how regulations manage innovative approaches, and employ best practices of utilizing fintech in your organization while understanding the global landscape of fintech regulation 11 videos1 reading1 assignment

4 modules

Beginner level

https://www.coursera.org/learn/wharton-fintech-overview-payments-regulations

95%

Leading Through Effective Communication

2,182

4.6

CareerCatalyst

Arizona State University

['Sending a message with relatability', 'Building future leaders', 'Sharing your vision as a leader', 'Assembling a successful team', 'Making safe spaces to communicate']

Do you struggle to influence your team’s chances of success? Learn effective communication and leadership skills from this Leading Through Effective Communication course! 1 reading2 plugins 3 readings1 peer review1 discussion prompt3 plugins 3 readings1 peer review1 discussion prompt3 plugins 3 readings1 peer review1 discussion prompt3 plugins 3 readings1 peer review1 discussion prompt3 plugins 3 readings1 peer review1 discussion prompt3 plugins 1 reading1 plugin

7 modules

Beginner level

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/leadingthrougheffectivecommunication

Practical Quantum Computing with IBM Qiskit for Beginners

Enrollment number not found

Rating not found

Packt - Course Instructors

Packt

['Quantum Computing', 'IBM Qiskit', 'binary digits', 'Qiskit', 'Computation', 'computation']

This course introduces you to quantum computing, focusing on IBM's Qiskit framework. You'll start with the basics of quantum mechanics, install and test Qiskit 0.23.0, and then explore qubits, learning how they differ from classical bits. Finally, you'll implement quantum gates like the Pauli X, Y, and Z gates. As you progress, the course offers detailed guidance on setting up your environment with Anaconda and Qiskit, ensuring you can follow along with practical demonstrations. You'll learn how to create and manipulate qubits, explore vector and matrix quantum states, and apply your knowledge through real-world examples on IBM's quantum computers. The hands-on exercises are designed to reinforce your learning, giving you the confidence to build and test quantum circuits on your own. By the end of the course, you'll have a comprehensive understanding of quantum gates, circuits, and algorithms, including the DJ algorithm and quantum key distribution. You will also be introduced to more advanced topics like quantum teleportation and multi-qubit states, providing you with a strong foundation for further exploration in the quantum computing field. This course is ideal for beginners with a basic understanding of Python programming. No prior knowledge of quantum mechanics or quantum computing is required, making it accessible to anyone interested in starting their journey in this cutting-edge field. In this module, we will provide a comprehensive overview of the course content and structure. You'll gain insight into what to expect from the course, including the main topics and the learning journey that lies ahead. 1 video1 reading In this module, we will dive into the foundational concepts of quantum mechanics. You'll explore the core principles that govern quantum behavior, setting the stage for understanding how these principles apply to quantum computing. 2 videos In this module, we will examine the key differences between classical bits and quantum qubits. Through a detailed exploration, you'll understand how qubits leverage quantum phenomena like superposition and entanglement to perform complex computations. 4 videos1 assignment In this module, we will focus on the practical aspects of working with qubits. You'll learn how to create qubits, maintain their state, and accurately read their information, which is essential for performing reliable quantum computations. 2 videos In this module, we will explore how quantum states are represented mathematically using vectors and matrices. You'll gain a deeper understanding of the operations that can be performed on these states and how they relate to quantum computation. 1 video In this module, we will cover the fundamental logic gates that form the basis of classical computing. This overview will prepare you for the transition to quantum logic gates by reinforcing your understanding of basic computational elements. 1 video1 assignment In this module, we will introduce the most widely-used quantum computing frameworks. You'll learn about their unique features and how to choose the right framework for your quantum computing projects. 1 video In this module, we will walk through the process of installing the Anaconda Python distribution, a crucial step in setting up your quantum computing development environment. This will pave the way for working with Qiskit and other essential tools. 1 video In this module, we will cover the installation and initial testing of Qiskit, IBM's open-source quantum computing framework. You'll learn how to set up the framework and verify that it's ready for quantum programming. 1 video1 reading1 assignment In this module, we will delve into the Pauli X-Gate, a fundamental quantum gate. You'll learn how to implement it in Qiskit and analyze its role in quantum circuits. 2 videos In this module, we will focus on customizing the Pauli X-Gate inputs and outputs. You'll explore different scenarios and understand how these customizations influence quantum circuit behavior. 1 video In this module, we will take the Pauli X-Gate from simulation to reality by running it on an actual IBM quantum computer. You'll compare the results and explore the practical challenges of working with real quantum hardware. 1 video1 assignment In this module, we will explore Pauli matrices and their role in representing quantum states as vectors. You'll gain a deeper understanding of their importance in quantum computations. 1 video In this module, we will cover the Pauli Y-Gate, another essential quantum gate. You'll learn how to implement it in Qiskit and examine its effects on quantum circuits. 3 videos In this module, we will focus on the Pauli Z-Gate, explaining its operation and significance in quantum circuits. You'll learn how to implement it in Qiskit and analyze its impact on computations. 1 video1 assignment In this module, we will explore eigenvectors associated with the XYZ quantum gates. You'll learn how to find and utilize these eigenvectors in quantum circuits, gaining insights into their role in quantum mechanics. 1 video In this module, we will introduce the Hadamard gate, a key component in quantum computing for creating superpositions. You'll learn its function and how to implement it in Qiskit. 1 video In this module, we will focus on implementing the Hadamard gate in Qiskit with a deeper exploration of its applications in quantum algorithms. You'll analyze the outcomes and understand its role in quantum computations. 1 video1 assignment In this module, we will provide exercises to deepen your understanding of the Hadamard gate. You'll apply it in different scenarios, including combinations with other gates, and analyze the resulting quantum states. 3 videos In this module, we will implement the Hadamard gate on a real IBM quantum computer. You'll compare these results with simulations and explore practical challenges encountered in real quantum hardware. 1 video In this module, we will explore the R Phi gate, explaining its function and implementation in quantum circuits using Qiskit. You'll analyze how it affects quantum states and computations. 1 video1 assignment In this module, we will introduce the S and T gates, two important components in quantum circuits. You'll learn how to implement them in Qiskit and understand their role in quantum algorithms. 1 video In this module, we will cover the U and I gates, explaining their applications and implementation in quantum circuits. You'll learn how they are used to control qubit states effectively. 1 video In this module, we will explore the basics of multi-qubit states, highlighting how they differ from single qubit systems. You'll learn about the significance of entanglement and how multi-qubit interactions form the core of quantum computing. 1 video1 assignment In this module, we will focus on representing multi-qubit states using mathematical tools such as tensor products. You'll gain a deeper understanding of how to describe and work with complex quantum systems. 1 video In this module, we will walk through the design of a simple multi-qubit circuit using only single-qubit gates. You'll learn how to construct and analyze this circuit, building your skills in quantum circuit design. 1 video In this module, we will explore a more advanced multi-qubit circuit, again using only single-qubit gates. You'll deepen your understanding of quantum circuits by analyzing the behavior and results of this more complex design. 1 video1 assignment In this module, we will introduce the CNOT gate and explore its role in quantum computing. You'll learn how to implement it with classical qubits and analyze how the control and target qubits interact. 1 video In this module, we will explore the behavior of the CNOT gate when the control qubit is in superposition. You'll learn how this affects the outcome of quantum circuits and gain insights into the power of quantum superposition. 1 video In this module, we will take the CNOT gate with a superposed control qubit and run it on a real IBM quantum computer. You'll compare these results with simulations and explore the practical considerations involved in real-world quantum computing. 1 video1 assignment In this module, we will explore the CNOT gate when both the control and target qubits are in superposition, leading to entangled states. You'll gain insights into the implications of these operations for quantum algorithms. 1 video In this module, we will focus on the behavior of the CNOT gate when the target qubit is in superposition. You'll learn how this affects quantum states and understand the practical applications of this setup in quantum circuits. 1 video In this module, we will introduce and explore common CNOT circuit identities. You'll learn the theory behind these identities and how to implement and verify them using Qiskit, solidifying your understanding of quantum circuit design. 2 videos1 assignment In this module, we will delve into the CZ (Controlled-Z) gate and its associated circuit identities. You'll learn how to implement these identities in Qiskit and explore their connection to CNOT circuit identities. 2 videos In this module, we will explore the CY (Controlled-Y) gate and its circuit identities. You'll learn how to implement these in Qiskit and understand their impact on quantum states. 1 video In this module, we will cover the SWAP gate, exploring its role and associated circuit identities in quantum circuits. You'll learn how to verify these identities and consider practical applications in quantum computing. 1 video1 assignment In this module, we will introduce the Toffoli gate, also known as the CCNOT gate, and its critical role in quantum computing. You'll learn how to implement it in Qiskit and explore its applications in various quantum algorithms. 1 video In this module, we will delve into Toffoli circuit identities, exploring their theoretical foundations and practical implementation in Qiskit. You'll understand their significance in the design and optimization of quantum circuits. 1 video In this module, we will provide an overview of the Deutsch-Jozsa problem, one of the key problems in quantum computing. You'll learn about its significance and how it demonstrates the power of quantum algorithms over classical ones. 1 video1 assignment In this module, we will focus on designing the Deutsch-Jozsa algorithm, breaking down each step of its construction. You'll learn how this algorithm achieves quantum speedup and analyze its efficiency compared to classical approaches. 1 video In this module, we will implement the Deutsch-Jozsa algorithm in Qiskit, guiding you through the process of testing and verifying its correctness. You'll analyze the results and understand the broader implications of this algorithm for quantum computing. 3 videos1 assignment In this module, we will explore quantum key distribution (QKD), a crucial aspect of quantum cryptography. You'll learn how QKD can be implemented to secure communication and understand the impact of quantum computing on traditional cryptographic methods like RSA. 2 videos In this module, we will delve into the theory of quantum teleportation, exploring how quantum states can be transmitted instantaneously between distant qubits. You'll learn the steps involved in this process and its potential impact on quantum communication. 1 video1 assignment In this final module, we will offer guidance on further learning opportunities and resources. You'll receive recommendations on how to continue your quantum computing journey and stay abreast of the latest advancements in this rapidly evolving field. 1 video1 assignment

44 modules

Beginner level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/packt-beginners-guide-to-practical-quantum-computing-with-ibm-qiskit-w6mos

Generative AI for Students: Ethics & Academic Integrity

Enrollment number not found

Rating not found

Andrew Struan

University of Glasgow

['academic integrity', 'GenAI', 'study skills', 'Artificial Intelligence', 'Research Skills']

This course is for university students from all background areas who are looking to enhance their understanding of using AI tools within their research, their studies, and their academic writing. The course provides students with an introduction to how various AI tools work as aids for study, research and writing, before going into the practical applications of the tools within study and research. The course covers key issues of ethics, academic integrity, authorship, and plagiarism in the use of AI tools, and provides up-to-date information on how to use the tools available with rigour, efficiency and accuracy. The course will be an essential companion to university students studying, researching and writing in an AI-augmented world. Our first module introduces you to what we mean by AI and GenAI, as well as the concept of digital literacies. We'll cover here the ways in which the tools work and the different categories of tools available. You'll be able to use the information here to boost your confidence in using the various types of AI tools available, as well as being able to discern what the tools do and how they might benefit you in your work, research and study. 4 videos3 readings4 assignments2 discussion prompts Our second module expands on the use of AI and GenAI tools. We'll cover here the role of the human and the computer in our tasks when studying and researching for university. We'll also look at the types of tools available in more depth and detail. We'll discuss how and why these work in particular ways, the benefits of using particular types of tools for particular types of work, and the role of AI in your studies. We'll also cover the crucial and important elements of some of the challenges and problems in using AI, including the human and environmental costs, the data biases, and the social issues involved. 5 videos5 readings4 assignments2 discussion prompts We've covered now the ways in which you can use AI tools in your studies and research, the types of tools available to you, and some of the wider issues or problems with using AI tools. Below, you'll cover the key elements of academic integrity and good academic practice (including avoiding plagiarism!) when using AI tools. We'll look at the key principles of academic integrity in an AI-powered world, as well as thinking about the rules of research and using data with confidence and confidentiality. 5 videos3 readings3 assignments2 discussion prompts

3 modules

Intermediate level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/generative-ai-for-students-ethics-and-academic-integrity

An Introduction to Interactive Programming in Python (Part 2)

52,155

4.9

Joe Warren

Rice University

['Python Syntax And Semantics', 'Logic Programming', 'Python Programming', 'Object-Oriented Programming (OOP)']

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 2 of this course, we will introduce more elements of programming (such as list, dictionaries, and loops) and then use these elements to create games such as Blackjack. Part 1 of this class will culminate in building a version of the classic arcade game "Asteroids". Upon completing this course, you will be able to write small, but interesting Python programs. The next course in the specialization will begin to introduce a more principled approach to writing programs and solving computational problems that will allow you to write larger and more complex programs. Read mouse input, learn about list methods and dictionaries, draw images 10 videos4 readings2 assignments1 peer review Learn the basics of object-oriented programming in Python using classes, work with tiled images 8 videos5 readings2 assignments1 peer review Understand the math of acceleration and friction, work with sprites, add sound to your game 6 videos3 readings2 assignments1 peer review Learn about sets in Python, compute collisions between sprites, animate sprites 7 videos3 readings1 assignment1 peer review

4 modules

Beginner level

https://www.coursera.org/learn/interactive-python-2

94%

Junos Routing, Operations, and Maintenance

Enrollment number not found

4.9

Gordon

Juniper Networks

[]

In this course, we will explain basic routing concepts including routing policy, routing and forwarding tables, routing instances, and Junos OS routing configuration basics. This course will also explain the concepts and configuration basics of user authentication, the various types of interfaces found on network devices, archiving configurations, configuring and analyzing system logging and tracing, and configuring SNMP for collecting and organizing information about managed devices. Other operational monitoring and maintenance tasks will be explored, including password recovery and how to upgrade Junos OS. In this course, we will explain basic routing concepts including routing policy, routing and forwarding tables, routing instances, and Junos OS routing configuration basics. This course will also explain the concepts and configuration basics of user authentication, the various types of interfaces found on network devices, archiving configurations, configuring and analyzing system logging and tracing, and configuring SNMP for collecting and organizing information about managed devices. Other operational monitoring and maintenance tasks will be explored, including password recovery and how to upgrade Junos OS. 24 videos8 readings8 assignments

1 module

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/junos-admin

Architecting with Google Kubernetes Engine Specialization

58,208

4.7

Google Cloud Training

Google Cloud

['Continuous Delivery', 'Google Cloud Platform', 'Kubernetes', 'Jenkins (Software)']

The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications. Applied Learning Project This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules. Discuss the differences among Google Cloud compute platforms. Discuss the components and architecture of Kubernetes. Identify how Google manages Kubernetes orchestration. Create and manage Google Kubernetes Engine clusters by using the Google Cloud console and gcloud/kubectl commands. Create and manage workloads in Google Kubernetes Engine. Explain how pod networking works in Google Kubernetes Engine. Define and work with different Kubernetes storage abstractions. Define Identity and Access Management roles for GKE, as well as Kubernetes pods security policies. Understand how logging is implemented and Kubernetes, and how GKE extends that basic functionality using Google Cloud Observability. Use Google Cloud Managed Storage Services with GKE. Use CI/CD with GKE.

3 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/architecting-google-kubernetes-engine

Site Reliability Engineering: Measuring and Managing Reliability

54,633

4.5

Google Cloud Training

Google Cloud

[]

Service level indicators (SLIs) and service level objectives (SLOs) are fundamental tools for measuring and managing reliability. In this course, students learn approaches for devising appropriate SLIs and SLOs and managing reliability through the use of an error budget. This module is intended to bring you up to speed on the concepts underpinning SRE, CRE, and SLOs. If you're already familiar with these concepts, you may still find new information and perspectives in this module, but it is not necessary to complete it. 11 videos1 assignment In this module we’re going to talk about how you measure the desired reliability of a service. We will address what to consider when setting SLOs for your application within your organization. We'll look at the three principles we use to measure the desired reliability of a service: figuring out what you want to promise and to whom, figuring out the metrics you care about that make your service reliability “good", and finally, deciding how much reliability is good enough. 7 videos4 assignments In this module, we’ll start by introducing a mechanism for quantifying unreliability using something called an error budget. We'll show how error budgets help you decide when to focus on making a service more reliable. And then we'll learn about some of the engineering and operational improvements that can help you do that. 7 videos3 assignments In this module we will start off by taking a look at some characteristics of monitoring metrics that can make them useful as SLIs and contrast these against other metrics that are less useful. Because the choice of where to measure an SLI is a key variable, we'll cover the five main ways you can measure an SLI and compare their pros and cons. 14 videos3 assignments5 discussion prompts In this module, we'll start off with an overview of our four step process for developing SLOs and SLIs for a user journey. We'll introduce the fictional company that created our example mobile game, the infrastructure that we'll be working with, and the simple user journey we'll be applying the four step process to. 7 videos2 assignments2 peer reviews In this module we'll be taking a critical look at the availability risks for our example service. We want to answer the question: "are our SLO targets and error budgets realistic?" 4 videos2 peer reviews In this module, we'll cover best practices for documenting your SLOs, the rationale behind a formal error budget policy and how best to create one and finally, we'll look at an example error budget policy in order to understand the trade-offs and incentives that play out during negotiations when trying to write an error budget policy. 9 videos3 assignments3 discussion prompts

7 modules

Intermediate level

https://www.coursera.org/learn/site-reliability-engineering-slos

89%

Introduction to Power Semiconductor Switches

2,376

Rating not found

Bart Van Zeghbroeck

University of Colorado Boulder

['device analysis', 'Device modeling', 'Electronic Circuit Simulation', 'Device simulation']

This course can also be taken for academic credit as ECEA 5721, part of CU Boulder’s Master of Science in Electrical Engineering. This course is primarily aimed at first year graduate students interested in engineering or science, along with professionals with an interest in power electronics and semiconductor devices . It is the first course in the "Semiconductor Power Device" specialization that focusses on diodes, MOSFETs, IGBT but also covers legacy devices (BJTs, Thyristors and TRIACS) as well as state-of-the-art devices such as silicon carbide (SiC) Schottky diodes and MOSFETs as well as Gallium Nitride (GaN) HEMTs. The specialization provides an overview of devices, the physics background needed to understand the device operation, the construction of a device circuit model from a physical device model and a description of the device fabrication technology including packaging. This first course provides an introduction to semiconductor power switches, including a classification based on power switch properties, a description of key power switches, an overview of device data sheets, and the identification of on-state and power losses of diodes and MOSFET individually and in a power convertor circuit. It provides the link between power converter applications and individual devices, through analysis and simulation and prepares learners for the in-depth device analysis of the other courses in the specialization. This module explains 1) the need for power conversion using a grid-connected solar system with storage and an electric vehicle as examples, 2) lists common power conversion circuits and their device requirements, and 3) provides an overview of different power device characteristics. 4 videos5 readings3 quizzes This module introduces key power switches: Diodes, MOSFETs and IGBTs as well as a brief introduction to other power devices including a first comparison. 4 videos9 readings5 quizzes This module covers typical device data sheet characteristics including 1) DC nominal and maximum values, 2) Switching parameters and 3) Temperature dependence and maximum allowed temperatures 3 videos5 readings3 quizzes This modules shows how to identify power dissipation in 1) individual diodes and MOSFETs and 2) in a boost convertor circuit containing both a diode and MOSFET 2 videos3 readings2 quizzes

4 modules

Intermediate level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/introduction-to-power-semiconductor-switches

GIS Applications Across Industries

3,054

4.6

Eric Howard

University of California, Davis

['Spatial Analysis', 'arcgis', 'geoprocessing analysis']

Geographic Information Systems (GIS) is becoming an essential business skill across a variety of different disciplines. In this course, you will explore how GIS skills are commonly applied and used in a variety of industries focusing specifically on: environmental studies, public health, emergency management, and business development. You will be empowered to conduct GIS-based analyses that are commonly used in these areas and benefit from how each industry uses GIS to tackle common analysis needs. Additionally, you will work through a series of hands-on exercises that will improve your knowledge of the advanced analysis capabilities of ArcGIS Pro. By the end of this module, you will be able describe what land use planning is and the planning process. You will be able to describe how GIS is commonly used in land use and conservation planning. You will be able to identify and find GIS datasets and common data sources and describe the processing steps used in land use change analysis. You will be able to conduct an analysis using land cover datasets to measure changes in land use over time. You'll be able to describe what a buildout analysis is and conduct a buildout analysis to evaluate the potential development growth in a given location. You will be able to explore common datasets, analytical tools and processes used in conservation planning. You'll be able to analyze a location and define its watershed boundaries as well as analyze GPS monitoring data to define wildfire ranges. You will be able to analyze and prioritize candidate locations for conservation efforts and be able to describe what citizen science is and the role it plays in community-based conservation strategies. 16 videos2 readings1 assignment2 discussion prompts By the end of this module, you will be able to describe common GIS applications used in Public Health. You'll explore how GIS is used to track the spread of disease and analyze disease prevalence data and create maps showing the spread of disease. You will be able to explain what social determinates of health are and how they can be mapped using ArcGIS Pro. You will also be able to analyze and map the social determinates of health in a given community and describe how to measure community access to health-promoting resources. 7 videos1 reading1 assignment1 discussion prompt By the end of this module, you will be able to describe how GIS is commonly used in Emergency Management. You will be able to define what hazard mitigation planning is and how GIS is commonly used in mitigation planning activities. You'll be able to analyze the wildfire risks of a community and describe how GIS is used to inform emergency preparedness activities. You will apply GIS methods to aid in the development of an evacuation plan and use GIS to aid first responders during an emergency event. Lastly, you'll be able to describe how GIS is used to track the progress of recovery from an emergency event. 5 videos1 reading1 assignment1 discussion prompt By the end of this module, you will be able to describe how GIS is used in business applications and use GIS to identify potential customers and markets for a new business. You will be able to analyze demographic and employment data to locate a potential site for a new business. You will be able to describe how GIS can be used to inform Supply Chain Management and analyze potential warehouse locations based on the number of customers they can easily serve. You'll also be able to define location-base services and their common use cases, as well as discuss the role GIS plays in creating digital twins and in 3D visualization. You will also have the chance to create a 3D scene using ArcGIS Pro. 9 videos1 reading1 assignment3 discussion prompts

4 modules

Intermediate level

16 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/gis-applications-across-industries

Algorithmic Thinking (Part 1)

55,840

4.6

Luay Nakhleh

Rice University

['Graph Theory', 'Algorithms', 'Python Programming', 'Graph Algorithms']

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing". What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms 15 videos2 readings1 assignment Graph representations, plotting, analysis of citation graphs 3 readings1 peer review2 app items Asymptotic analysis, "big O" notation, pseudocode, breadth-first search 9 videos1 assignment Connected components, graph resilience, and analysis of computer networks 3 readings1 peer review1 app item

4 modules

Intermediate level

https://www.coursera.org/learn/algorithmic-thinking-1

92%

Artificial Intelligence Ethics in Action

10,667

4.6

Brent Summers

LearnQuest

['Ethics Of Artificial Intelligence', 'Artificial Intelligence (AI)', 'analysis', 'Bias', 'Ethics']

AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization. Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section 1 video Examining bias in a predictive text model 1 reading1 assignment Understanding fairness issues with sensitive predictions 1 reading1 assignment Predicting ethical issues before they arise in model theory 1 reading1 assignment

4 modules

Intermediate level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/ai-ethics-analysis

Web Hacker's Toolbox - Tools Used by Successful Hackers

Enrollment number not found

Rating not found

Packt - Course Instructors

Packt

['Hacking', 'ethical hackers', 'penetration testers', 'bug hunters', 'Kali Linux']

Ethical hackers and penetration testers need an efficient toolbox and a step-by-step guide to use these tools effectively. This course covers: - Sqlmap for SQL injection detection, - Google Hacking for identifying security weaknesses, - Fuzzing with Burp Suite Intruder. - How to exploit race conditions using OWASP ZAP. By the end of the course, you'll be equipped to use these tools in your penetration testing projects. The course is ideal for intermediate-level penetration testers, ethical hackers, bug hunters, and security engineers/consultants. It offers a practical, hands-on approach with real-world case studies and expert tips, enhancing your pentesting skills and aligning you with industry standards. Basic hacking skills are required; no installation videos are included. In this module, we will provide a comprehensive overview of the course. You'll gain insights into what topics will be covered, how the course is structured, and the expected outcomes. This foundational knowledge will set the stage for your learning journey. 1 video In this module, we will delve into the powerful tool, Sqlmap, used by hackers to find SQL injections quickly. You will learn the basics of Sqlmap through both theoretical overviews and practical demos, explore how to dump database entries, and understand the transition from SQL injection to remote code execution. Additionally, advanced testing techniques and methods to bypass web application firewalls will be covered. 12 videos In this module, we will explore Google Hacking, a method used to find security vulnerabilities in web applications through advanced search techniques. You will learn how to uncover directory listings, SQL syntax errors, exposed backup files, internal server errors, and sensitive data in URLs. Case studies and practical examples will illustrate these concepts, along with strategies to prevent Google indexing. 11 videos1 assignment In this module, we will cover the essentials of fuzzing and how to use Burp Suite Intruder for security testing. You will gain hands-on experience through demos on fuzzing for SQL injection and path traversal. Additionally, practical tips and advanced tricks will be shared to enhance your fuzzing techniques. 5 videos In this module, we will explore the exploitation of race conditions using OWASP ZAP. Through detailed case studies, you will learn how attackers leverage multithreading conditions and reuse discount codes to steal money. The module includes in-depth discussions of award-winning race condition attacks, providing valuable insights into both offensive and defensive strategies. 5 videos2 assignments

5 modules

Intermediate level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/packt-web-hackers-toolbox-tools-used-by-successful-hackers-d6lq3

Physics of Oscillators and Waves

1,611

Rating not found

Jason Hafner

Rice University

['Problem Solving', 'Wave Motion', 'Physics', 'Oscillations']

This first course serves as an introduction to the physics of waves and light. Upon completion, learners will understand how mathematical laws and conservation principles describe wave propagation and light in the context of both geometrical and physical optics. Learners will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus. This first course covers the Wave Equation, Normal Modes, Wave Propagation, and Dispersion. Each of the three modules contains 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. 45 videos2 readings11 assignments 25 videos8 assignments 26 videos5 assignments 1 video1 assignment

4 modules

Intermediate level

19 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/oscillators-waves

Pharmacokinetics

1,787

4.9

Erland Stevens, PhD

Novartis

[]

This course begins with a review of routes of administration, ADME (absorption, distribution, metabolism, & excretion), and the use of in vivo drug concentration-time data to determine key pharmacokinetic parameters, like volume of distribution, half-life and clearance.  The course then emphasizes in vitro assays that allow rapid prediction of ADME and PK properties for evaluation of new compounds.  The later stages of the course focus on how drug discovery teams study this PK/PD relationship, as well as dose size and frequency predictions which ultimately assist in selection of a compound for advancement into the clinic. This course is suitable for life scientists, clinicians, and individuals from fields that support drug discovery (e.g., patents, finance, licensing, etc.) interested in learning more about the pharmaceutical/biotechnology sector. Advanced undergraduate coursework or practical familiarity/working knowledge in biological sciences and organic chemistry is recommended. Welcome, by the end of the course students will be able to: Summarize the key concepts of pharmacokinetics (PK), ADME (Absorption, Distribution, Metabolism, and Excretion), volume of distribution, half-life and clearance. Differentiate between different routes of drug administration and their impact on PK parameters. Define and describe the influence of transporters, plasma protein binding (PPB) and drug-drug interactions (DDIs) on the PK of a drug molecule. Explain how PK/PD relationships are derived and their importance for defining the anticipated human dose. 5 videos1 reading4 assignments 5 videos1 reading6 assignments 5 videos1 reading5 assignments

3 modules

Intermediate level

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/pharmacokinetics

Community Awareness: What is a Socially Just University

Enrollment number not found

Rating not found

Barry Checkoway

University of Michigan

['Universities', 'diversity', 'Higher Education', 'inclusion', 'Social Justice']

The course assumes that higher education is a gateway to the resources of society and that there is a need for institutions to become more socially just for all groups, with emphasis on low-income and minority populations that are traditionally underrepresented. The course includes sessions with institutional leaders about higher education and American society, diversity and inclusion in learning and teaching, professors and students as change agents, socially-just research, and struggles for equity and justice on campus and in communities. Illustrative modules include: What is a university? What is the role or potential role of universities in making societies more socially just? Do present universities contribute to inequalities and injustices and, if so, how? What changes are needed now? Sessions will draw upon initiatives at the University of Michigan for starters, and we also will draw upon other educational leaders nationwide What is a socially-just university? is a question arising at a time when American society is changing, and challenging many institutions to reconsider some of their most fundamental purposes and practices. 2 readings1 discussion prompt American society is changing and, in so doing, challenging higher education to adapt to these changes. As society increases in its people of African, Asian, and Latin American descent, and people of color become the majority, for example, unanswered questions are arising about what universities are for, and who are they for? 1 video2 readings1 discussion prompt What is, or should be, the purpose of higher education? 1 video3 readings1 discussion prompt Learning and teaching are central to the core educational mission of universities, but what happens to these activities when the institutions are changing in their population? 1 video2 readings1 discussion prompt Research and scholarship produce “knowledge for society,” but knowledge development has various approaches. 1 video2 readings1 discussion prompt Faculty members are central to higher education, and nothing lasting happens without them. But, what are some ways to engage faculty members, especially at a time when universities are changing in their composition? 1 video2 readings1 discussion prompt The University of Michigan is involved in a comprehensive effort to transform the institution for diversity, equity, and inclusion, and this effort requires institutional changes at all levels. 1 video2 readings1 discussion prompt This module will give you an opportunity to reflect on what you’ve learned throughout this experience and to contemplate what pieces of the conversation are missing. 2 readings

8 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/what-is-a-socially-just-university

Digital Business Strategy

3,237

4.8

Michael Lenox

University of Virginia

['Digital Strategy', 'strategy', 'Business Strategy', 'Digital transformation']

Develop your ability to design and implement strategies that will help your company prosper in the digital age. In this course, developed by the Darden School of Business at the University of Virginia, Professor Mike Lenox will help you understand the critical function of strategic thinking in the digital age, the role of data and analytics in creating value, the challenge of establishing a dominant platform, the impact of digital technologies on competition, and the importance of appropriating value from innovation. We live in a fast-moving world where the start-of-the-art technology of today could be obsolete by next year and the pressure for organizations to digitally transform impacts virtually every industry and company. This week, we’ll explore the critical role of strategic thinking and the challenges and opportunities today’s organizations face with the rise of the digital age. 7 videos2 readings1 assignment1 discussion prompt Platforms have been transformational in the digital age as they enable value-creating interactions between external producers and consumers. This week, we’ll explore the challenges presented by the rise of platforms, the ubiquity of network externalities, and the frequent presence of winner-take-all markets. 8 videos1 reading1 assignment Competing in the digital age can often seem like a battle to be the last platform standing. However, the impact of digital technology is often subtler and more far-reaching. This week, we’ll explore new ways of creating and capturing value in a world where digital technologies are helping deconstruct value chains and creating new opportunities for organizations to compete. 7 videos1 reading1 assignment The digital age has spawned a dynamic, hypercompetitive environment that places a primacy on innovation. However, successful organizations must be able to nimbly adjust to an every-changing competitive environment. This week, we’ll explore the importance of appropriating value from innovation by leveraging your organizations unique complementary capabilities and resources. 7 videos1 reading1 assignment

4 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/uva-darden-digital-business-strategy

Cybersecurity Foundations for Risk Management

5,009

4.7

Herbert J. Mattord, Ph.D., CISM, CISSP, CDP

Kennesaw State University

['Cybersecurity', 'cybersecurity threats', 'Cybersecurity Management', 'Cybersecurity Risk Management']

In order to manage the cybersecurity function business, you must first understand its language and its environment. This course covers the foundations of cybersecurity, including threats and vulnerabilities as well as the tools, technologies, and strategies used to manage it. After completing this course, a learner will be able to: ● Define key concepts and terminology in Cybersecurity ● Identify threats to cybersecurity ● Identify strategies to identify and remediate vulnerabilities in information assets ● Identify the systemic components (including personnel) necessary for an effective cybersecurity program This is an overview of the learning objectives for the course. 1 video1 reading 5 videos1 reading4 assignments Learning objectives for Threats to Cybersecurity 6 videos1 reading5 assignments 7 videos6 assignments Learning objectives for Managing Vulnerabilities in Information Assets module 5 videos4 assignments This is the final module where you will take the Course Assessment. 1 video1 assignment

6 modules

Beginner level

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/cybersecurity-foundations-for-risk-management

ELL Success in the Content Classroom: Capstone Project

Enrollment number not found

4.7

Claire McLaughlin

Arizona State University

[]

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 Welcome to Module 1 of the Capstone Project for ELL Success in the Content Classroom: A Teacher Toolbox Series specialization. We know that you have worked hard to get to this point in the specialization and are anxious to apply all you have learned to your teaching context. In the first module of this course, you will be designing a lesson plan specific to your teaching context, including content area and available materials, and your ELLs. You will be working through a variety of tasks before submitting the first draft of your lesson plan for peer review. Make sure to refer back to the first course as needed. Good Luck and happy lesson planning! 1 video8 readings4 discussion prompts Nice Work! Now that you have a working lesson plan draft, you are ready to create the materials needed for the lesson's activities. In this module, you will be creating brand new materials as well as modifying existing materials to truly support the ELLs in your class as they navigate the lesson you designed in module 1. Make sure to consider modifications and adaptions needed at the both the input and output level of language, as well as additional support in the area of content background knowledge. You will be working through a variety of tasks before submitting drafts of your materials for peer review. Refer back to the first course as needed. Happy creating! 8 readings1 peer review3 discussion prompts Welcome to module 3! At this point, you have a completed lesson plan and accompanying materials selected, modified and created with the ELL in mind. You are now ready to add appropriate assessment, both formative and summative, to your lesson plan. In this module, you will design at least 1 formative and 1 summative assessment to measure your ELL's achievement of the day's lesson. You will work through a variety of steps before submitting a draft of your assessments for peer review. Refer back to the second course as needed. Happy Assessing! 10 readings1 peer review5 discussion prompts Congratulations! You have now created a lesson plan, supplemental materials, and assessments with the ELL in Mind. As you continue to edit your initial drafts of each, we ask that you take some time and really identify the reasons WHY you chose to apply the methodologies you did within your work. In this module, you will be writing a rationale for the elements present in your lesson plan, your modified materials and your assessments. You will work through a variety of lessons before submitting your rationale for peer review. Refer back to Courses 1 and 2 as needed. Good Luck! 9 readings1 peer review4 discussion prompts Welcome to Module 5! We know you are excited to apply the strategies for engagement in your own classroom and no doubt have some great ideas of how to do so! In this module, you will be creating an individualized plan for engagement of ELLs and their families in your school and community. You will also be writing a brief rationale for the strategies included in your action plan based on your school's population and your community's resources. Refer to course 3 as needed for ideas and models of engagement. You will work through a variety of lessons before submitting your engagement action plan for peer review. Enjoy! 7 readings1 peer review4 discussion prompts Congratulations! You have completed all modules in the Capstone Course and are ready to submit your final capstone project for peer review. Before you submit your final project, take some time to fine tune the elements. Look back at the feedback you received from your peers in modules 1-4 and make corrections and changes as necessary. This should be an exemplar of your finest work in lesson planning, assessing, and engaging with the ELL in mind. Finally, submit your final capstone project in one file upload and complete the required peer review. We are proud of your work and the time you have dedicated to better supporting your ELLs in your content classroom. Continue to be an inspiration for your students and other teachers in your school! 1 video1 peer review

6 modules

15 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/ell-project

Media Relations and Crisis Management

Enrollment number not found

Rating not found

Microsoft

Microsoft

['Crisis Communication', 'Public Relations', 'Media relations', 'Crisis Management', 'Media Engagement', 'Media Relations']

This course will provide you with the essential skills to handle media relations effectively and manage crises with confidence. In this course, you will: • Identify the core principles, frameworks, and strategies for effective crisis communication, describing different types of crises and their corresponding communication approaches. • Formulate media engagement strategies specifically for crisis situations by aligning media and internal messages with the needs of stakeholders. • Develop a plan to cultivate and maintain positive relationships with media professionals and leverage those relationships for brand building. • Identify how to use AI tools to augment and improve crisis communication processes. • Develop a crisis communication plan that integrates media relations strategies and AI capabilities. By the end of this course, you will have a robust understanding of how to manage media relations and handle crises efficiently, utilizing modern AI tools to enhance your strategies. In this module, you explore effective crisis management's core principles and strategies. You will identify various crises and implement corresponding communication strategies, emphasizing internal communication to maintain employee safety and morale. You also examine developing a crisis communication plan, building crisis teams, and selecting spokespersons. 23 videos6 readings7 assignments This module covers essential media engagement strategies for crisis communication, starting with the fundamentals of media relations and the media landscape. You focus on cultivating and maintaining relationships with journalists and explore how to align media messages with stakeholder needs. 28 videos6 readings9 assignments This module focuses on building media relations for crisis management and exploring strategies to leverage media relationships effectively. You explore strategies for leveraging the media relationships you have build to manage a crisis effectively. You also learn to evaluate media coverage and public response to inform your crisis management strategy. 16 videos3 readings7 assignments In this module, you explore how AI tools can augment your crisis communication processes. You learn about the role of AI in real-time monitoring, managing stakeholder communications, and social media engagement during crises. You also examine strategies for integrating GenAI tools into crisis management, evaluating their effectiveness, and overcoming implementation challenges. 20 videos5 readings6 assignments In the final module, you apply the concepts, strategies, and skills you have learned by developing a crisis communication plan. 2 videos1 reading1 peer review

5 modules

Beginner level

28 hours to complete (3 weeks at 9 hours a week)

https://www.coursera.org/learn/media-relations-and-crisis-management

Tinkering Fundamentals: Motion and Mechanisms

6,601

4.8

Mike Petrich

Exploratorium

[]

The Tinkering Fundamentals course will offer educators and enthusiasts an opportunity to develop a practice of tinkering and making. We see tinkering as a serious endeavor—one that is generalizable across content and especially good at interweaving disciplines in a way that leads to complex projects and individualized learning opportunities. Tinkering has recently been introduced into the educational field as a potential driver of creativity, excitement, and innovation in science learning. It is seen by many as an effective means to engage in exploring STEM concepts, practices and phenomena. Tinkering typically blends the high and low tech tools of science along with a strong aesthetic dimension that supports children’s (and adults’) self expression. NB: This is a hands-on course, so you will need several tools and materials to do weekly activities. You are welcome to purchase only what you don't already have—or even better try to scrounge them from surplus stores! We have put together a list of recommended materials, which you can find here: http://bit.ly/motion-materials For over a decade, the Exploratorium has been developing science-rich tinkering activities for both children and adults. We see tinkering as a fun yet serious endeavor—spanning many disciplines and content areas and fostering connections between art, science, and technology. Learners follow their own path to understanding by investigating tools and materials and exploring questions that interest them. This opens up a wide range of possible answers rather than any specific “right” one, particularly for teaching STEM (Science, Technology, Engineering, Math) subjects in the classroom. This course centers on activities related to Motion and Mechanisms, which offer a wealth of opportunities for thinking through making. In this course, we won’t just show you how we develop tinkering activities; we’ll also delve into why. We’ll focus on three important aspects: activity design around specific materials, facilitation strategies, and environmental organization. We’ll also share some guiding principles and learning indicators we’ve developed that can help you integrate tinkering into your elementary and middle-school science program. Whether you’re new to making or a seasoned tinkerer, we hope this course will help you take the next step! OUR APPROACH TO TEACHING This is a hands-on workshop, not a lecture-based class. Participation is essential! We want everyone to be making and tinkering together: trying things out, asking questions, sharing ideas, and reflecting together as a community. This is a wonderful chance to tinker and learn alongside people from all over the world and from all walks of life, so don’t be shy! PLEASE NOTE: We have put a great deal of effort towards creating a supportive space that encourages exploration. We’ll give you a few ways to get started; prompt you to share your own observations and experience as learners, designers, and facilitators; and hopefully spark interesting conversations and discoveries along the way. While it’s not a requirement, we encourage you to take this class with a friend or colleague, or meet with other people in your area: having support or doing activities with others will enhance your experience and help you stay engaged. This project was funded by generous support from Overdeck Family Foundation and the National Science Foundation. What is tinkering? What does it mean to you? Is it different from engineering or other forms of making? We'll explore these questions in the readings and forums while getting a sneak preview of the activities we'll be sharing over the following modules. 3 videos5 readings Let's get started with our first activity! Marble Machines are creative ball-run contraptions made from familiar materials. This week we will show you the activity in action, talk about its design, then discuss in detail how to build your own Marble Machines set. We also hear from the artist who inspired the activity, and Eleanor Duckworth will share her pedagogical perspective. 5 videos2 readings This week, we turn our attention to Cardboard Automata: inspired by crank-operated mechanical devices that tell miniature stories with movement and narrative, these simple but engaging contraptions are often a vehicle for personal expression and humor. 15 videos2 readings A Chain Reaction machine is a deceptively simple concept, but one that allows for an incredibly complex and deep investigation into something we experience every day: the relationship between cause and effect. It brings all of a tinkerer’s skills to bear to improvise, build, troubleshoot, and imagine a problem and its solution! 7 videos2 readings This week is dedicated to exploring the relationship between practice and research about learning through tinkering. 5 videos2 readings1 peer review

5 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/tinkering-motion-mechanisms

Derivatives - Options & Futures

30,228

4.5

Jeff Praissman

Interactive Brokers

['Mechanics of Futures Market', 'Option Terminology', 'Practical Demos', 'Options Strategies', 'Option Risks']

While investing and trading in the options market may seem somewhat more daunting than other asset classes such as stocks, bonds, exchange-traded funds, currencies and commodities, you’ll ultimately find that their complexity can be boiled down to simple concepts you’ll be able to understand and use the more you’re exposed to, and have hands-on experience with the material. Our aim is for you to acquire these skills, as well as the know-how, to invest and trade in these often-complex financial instruments. We'll explore the mechanics of futures market, where we’ll introduce you to some of the risks faced by investors in the futures market, how certain of those risks are mitigated, as well as the difference between spot and forward prices, and contango and backwardation. We’ll also provide you with other insights about the mechanics of trading futures, including the roles of commoditized contracts, as well as margin requirements. Students may also further their involvement with this material by opening a free demo Trader Workstation Paper Trading account, enabling them to enjoy a hands-on experience in a safe, simulated trading environment, while being fully immersed in the fundamentals that underpin the capital markets. Options involve risk and are not suitable for all investors. For more information read the Characteristics and Risks of Standardized Options, also known as the options disclosure document (ODD). To receive a copy of the ODD call 312-542-6901 or copy and paste this link into your browser: http://www.optionsclearing.com/about/publications/character-risks.jsp Multiple leg strategies, including spreads, will incur multiple commission charges. Overview of options, which includes: Distinguishing between call and put options; Identifying the components of an options contract on a trading platform; Making certain decisions in the options market as a contract writer or owner; Viewing different stock options positions; Examining whether a given position is in- or out-of-the-money and Understanding some of the benefits and critical risks faced by equity options traders. Options involve risk and are not suitable for all investors. For more information read the Characteristics and Risks of Standardized Options, also known as the options disclosure document (ODD). To receive a copy of the ODD call 312-542-6901 or copy and paste this link into your browser: http://www.optionsclearing.com/about/publications/character-risks.jsp. 5 videos1 reading6 assignments Learn about the Options Market Mechanics by introducing topics such as put-call parity, pricing, payout of an option trade, and certain risk variables referred to as "The Greeks". Options involve risk and are not suitable for all investors. For more information read the Characteristics and Risks of Standardized Options, also known as the options disclosure document (ODD). To receive a copy of the ODD call 312-542-6901 or copy and paste this link into your browser: http://www.optionsclearing.com/about/publications/character-risks.jsp. Multiple leg strategies, including spreads, will incur multiple commission charges. 4 videos3 readings4 assignments This module will focus on some basic strategies to use in bull markets – when prices rise – and in bear markets – where prices fall. As you may have gathered from earlier lessons, the characteristics of options requires skill and precision when making investment decisions. These strategies are displayed to give you an idea of what might work when making investing decisions. In this module, we’ll offer an explanation of several strategies for either type of market outlook, and we’ll also walk you through what they are designed to achieve. We’ll further provide a practical demonstration of how to set up each trade using IBKR’s Trader Workstation. Options involve risk and are not suitable for all investors. For more information read the Characteristics and Risks of Standardized Options, also known as the options disclosure document (ODD). To receive a copy of the ODD call 312-542-6901 or copy and paste this link into your browser: http://www.optionsclearing.com/about/publications/character-risks.jsp. 11 videos6 readings11 assignments In the previous module we introduced you to several trades designed to be of use in either up or down markets. In this module, we’ll explore a couple of strategies that may be used by option traders to take advantage of a lull in the markets. 5 videos3 readings5 assignments Introducing the Mechanics of Futures Market course, where we’ll introduce you to some of the risks faced by investors in the futures market, how certain of those risks are mitigated, as well as the difference between spot and forward prices, and contango and backwardation. We’ll also provide you with other insights about the mechanics of trading futures, including the roles of commoditized contracts, as well as margin requirements. 9 videos3 readings8 assignments

5 modules

Intermediate level

https://www.coursera.org/learn/derivatives-options-futures

95%

Reading and Comprehension of Text in English

3,539

3.8

Gabriela Cortés Sánchez

Universidad Autónoma Metropolitana

['Students will use and apply strategies to read in English more efficiently not only for their future']

Effective reading, especially when the main goal is to obtain information, involves certain strategies. Its application is almost automatic, unconscious, when it comes to readings in the mother tongue. However, when it comes to reading a text in English, there are several factors that make its application difficult. The purpose of this course is for students to be aware of the characteristics of texts in general and of legal texts in particular and of some activities in which, such as reader can participate to read effectively. 2 readings 1 video4 readings4 assignments 1 video4 readings6 assignments 1 video6 readings6 assignments 1 video3 readings3 assignments 1 video5 readings5 assignments 1 video3 readings6 assignments

7 modules

Beginner level

20 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/reading-and-comprehension-of-text-in-english

Managing Windows Servers, Virtualization, & Containerization

Enrollment number not found

Rating not found

Skill-Up EdTech Team

SkillUp EdTech

['Kubernetes Orchestration', 'Windows Server IaaS VMs', 'Windows Servers and Workloads', 'Virtualization with Hyper-V', 'Managing hybrid workloads']

This course is a part of the AZ-800 Exam Prep. It equips you to effectively manage Windows Server workloads, virtualization, and containers. You will also explore tools and techniques for secure administration, configuration of Windows Servers, and management of hybrid workloads, and evaluate Azure services. By the end of this course, you will be able to:   - Describe secure administration methods for Windows Server platforms, enabling automatic configuration, remote management, and just-in-time administration.    - Explain resource management strategies for managing hybrid workloads, optimizing IT operations and management, and streamlining administration.   - Describe how Hyper-V is used for virtualization and the approaches for effective planning and deployment of Windows Server IaaS virtual machines.   - Describe how Docker and Kubernetes are used to run and orchestrate containers on Windows Server.  This course is best suited for professionals who have experience working with Windows Server operating systems and implementing and managing on-premises and hybrid solutions. In this module, you will learn about managing Windows Servers and workloads in a hybrid environment. The module delves into the techniques and tools used to ensure the protection and integrity of Windows Server systems and data. You will learn about implementing the principle of least privilege and employing tools, such as Windows Admin Center, Server Manager, and remote server administration tools (RSET). Additionally, you will learn the steps and best practices for configuring and optimizing a Windows Server environment after the initial installation. You will also learn how to remotely manage virtual machines running on Windows Servers. Further, you will learn how to limit the duration and scope of administrative access to Azure resources by granting privileged access on a just-in-time basis. The module also discusses how to manage resources in Windows Server hybrid environments, use Azure Arc to manage hybrid workloads, and use Azure Automanage to optimize IT operations and management. Finally, you will learn how to streamline administrative tasks using Just Enough Administration. 11 videos3 readings4 assignments1 discussion prompt This module introduces you to the process of optimizing IT infrastructure through virtualization using Hyper-V. You will learn how to configure and manage Hyper-V and Hyper-V virtual machines, explore the available virtual hard disk (VHD) formats and types, and learn about implementing guest clusters using shared VHDX. You will also learn about securing Hyper-V workloads with guarded fabric, trusted platform module (TPM), and shielded VM. You will also be able to compare encryption-supported and shielded VMs in a guarded fabric. Additionally, you will learn how to leverage Azure compute resources and Azure VMs for deploying Windows Server instances in a cloud environment and use Azure Automation for automating tasks in Azure and on-premises servers. Finally, you will also learn about containerization using Docker and automating the deployment, scaling, and management of containerized applications using Kubernetes. 8 videos5 readings3 assignments1 discussion prompt In this module, you will attempt a final project. You will be provided scenarios that mimic real-life situations that Windows Server Hybrid administrators commonly face. You will attempt a set of multiple-choice questions where you will make several decisions on managing Windows Servers, virtualization, and containerization. 1 video4 readings2 assignments

3 modules

Intermediate level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/managing-windows-servers-virtualization--containerization

Preparing for your Professional Cloud Architect Journey

65,882

4.7

Google Cloud Training

Google Cloud

[]

This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan. Welcome to Preparing for the Professional Cloud Architect Journey. 5 videos1 reading Defining initial technical and business design considerations for Cymbal’s migration to a cloud solution 5 videos1 reading2 assignments Provisioning and deploying the cloud solution per Cymbal’s requirements 4 videos1 reading2 assignments Identifying the security and compliance considerations pertinent to Cymbal’s cloud solution 4 videos1 reading2 assignments Analyze costs, KPIs, etc. and identify opportunities for optimization 4 videos1 reading2 assignments How the PCA helps establish best practices for Cymbal’s solution deployment and ongoing operations 4 videos1 reading2 assignments In this module, you will finish creating your study plan. 8 videos

7 modules

Advanced level

https://www.coursera.org/learn/preparing-cloud-professional-cloud-architect-exam

82%

Distributed Programming in SAS® Viya® for Data Analysts Specialization

Enrollment number not found

4.9

Peter Styliadis

SAS

['Analyze data using SAS Viya']

SAS Viya is a cloud-enabled, in-memory analytics engine that provides quick, accurate and reliable analytical insights. This professional certificate program is designed for experienced SAS programmers who want to leverage the power of SAS Cloud Analytics Services (CAS) to access, manage, and analyze in-memory tables. You will write SAS programs to execute in CAS using standard SAS syntax, including the DATA step, FedSQL, and procedures. You will also use the native CAS programming language (CASL) to process in-memory data. These skills prepare you for the SAS Viya Programming certification exams. Applied Learning Project Graded quizzes are included at the conclusion of each lesson to assess proficiency. Learners also have the option to complete practice exams in preparation for either the SAS Viya Programming Specialist or SAS Viya Programming Associate certification exams. Load data into SAS Cloud Analytic Services Modify DATA step and SQL procedure code to execute in CAS Use CAS-enabled procedures and CAS actions Connect to the CAS server to access and manage data. Use CASL to prepare and analyze data. Create reports and visualizations using SAS Viya. Welcome to the Preparing for the SAS Viya Programming Certification Exam course. This is the third and final course in the Coursera SAS Programmer specialization. You will apply what you have learned in the first two courses by writing code to execute in SAS Cloud Analytic Services and practicing for the SAS certification exams. This is an advanced course, intended for learners who have completed the first two courses in the Coursera SAS Programmer specialization: SAS Programming for Distributed Computing in SAS Viya and CASL Programming for Distributed Computing in SAS Viya. By the end of the course, you be prepared to take either of these SAS credential exams: - SAS® Viya® Programming Associate - SAS® Viya® Programming Specialist

3 course series

Beginner level

3 months (at 4 hours a week)

https://www.coursera.org/specializations/distributed-programming-sas-viya-for-data-analysts

Analysis for Business Systems

37,198

4.8

Ken Reily

University of Minnesota

['Business analysis skills and knowledge', 'Management', 'Project management skills and knowledge']

Most often, organizations acquire information systems as part of a larger focus on process improvement and efficiency. These organizations need to invest in the right system to meet their needs: right functionality, right size, and for the right price. The business systems analyst role in most organizations is responsible for translating the organization’s needs into requirements, which are then used to select or build the right system for the organization. During the Analysis for Business Systems course, you’ll learn about the standard model for systems development: the systems development lifecycle, or SDLC. You will learn how to read and even create the specific deliverables that business systems analysts prepare during the SDLC. These documents provide guidance to the organization as they determine whether to build or buy and configure a system that meets the organization’s needs. 10 videos3 readings1 assignment4 discussion prompts 11 videos1 reading1 assignment1 discussion prompt 9 videos1 reading1 assignment 11 videos1 assignment 1 video1 peer review

5 modules

Beginner level

https://www.coursera.org/learn/analysis-for-business-systems

96%

Navigating Generative AI Risks for Leaders

Enrollment number not found

4.9

Jeff Maggioncalda, Coursera CEO

Coursera

['responsible AI', 'Artificial Intelligence (AI)', 'AI data privacy']

This course delves into the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. It emphasizes the importance of the CEO in understanding and addressing these risks. A significant part of this course is dedicated to exploring the ethical considerations for using GenAI. It highlights the importance of developing responsible AI principles and practices, guiding CEOs in creating ethical principles for Responsible AI tailored specifically to their own companies. The course also focuses on the critical issues of data security and privacy in the use of GenAI. It concludes by providing an overview of the legal and regulatory landscape for GenAI, offering guidance on how to navigate this landscape effectively and ensure legal and regulatory compliance in the use of GenAI. This short course discusses the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. It emphasizes the importance of understanding and addressing these risks. A significant part of this module is dedicated to exploring the ethical considerations for using GenAI. It highlights the importance of developing responsible AI principles and practices, guiding CEOs in creating ethical principles for Responsible AI tailored specifically to their own companies. The course also focuses on the critical issues of data security and privacy in the use of GenAI. It concludes by providing an overview of the legal and regulatory landscape for GenAI, offering guidance on how to navigate this landscape effectively and ensure legal and regulatory compliance in the use of GenAI. 11 videos9 readings2 assignments4 discussion prompts2 ungraded labs

1 module

Beginner level

3 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/navigating-generative-ai-risks-for-leaders

Blueprint Scripting

Enrollment number not found

Rating not found

Ryan Laley

Epic Games

['Unreal Engine', 'Video Game Development', 'C++ Fundamentals', 'Video Game Design', 'Blueprint Visual Scripting']

The Blueprint Visual Scripting system in Unreal Engine is a visual programming language that uses a node-based interface to create gameplay elements. The node-based workflow provides designers with a wide range of scripting concepts and tools that are generally only available to programmers. In addition, Blueprint-specific markup available in Unreal Engine's C++ implementation provides programmers with a way to create baseline systems that designers can extend. 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. This course introduces learners to the Blueprint Visual Scripting system. Participants will learn Blueprint basics, how they relate to C++, and Blueprint programming principles, and will use their knowledge to create an interactive door for a video game. This course does not require learners to have any previous knowledge about Blueprint scripting to get started. It is recommended that the learner take courses 1 through 3 before starting this course. In this module, learners will be introduced to Blueprints, Unreal Engine's visual programming language that uses a node-based interface to create gameplay elements. 20 videos4 assignments1 discussion prompt In this module, you will learn about traces, the way that Blueprints communicate with each other in Unreal Engine, and combine traces and triggers to build additional interactive elements for a video game. 15 videos3 assignments1 discussion prompt In this module learners will be introduced to actors, pawns, and characters, and how to utilize input actions to communicate between the input system and their project's code. An Input Action can be anything that an interactive character might do, like jumping or opening a door, or it can be used to indicate user input states, like holding a button that changes walking movement to running. Learners will create their own custom logic for a video game character. 8 videos1 assignment In this module learners will be introduced to how create mechanics in video games and devise their own solutions for gameplay. This will include completing a simplified inventory system and management of said system. 7 videos5 assignments1 peer review1 discussion prompt

4 modules

Beginner level

20 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/blueprint-scripting

Fundamental Neural Pathways For Movement

Enrollment number not found

Rating not found

Roger Enoka

University of Colorado Boulder

['Sensory modulation of activation signals', 'Control of locomotion', 'Spinal Cord Physiology', 'Reflex pathways', 'Control of movement by the brain']

Fundamental Neural Pathways For Movement is the second course of the specialization "Science of Movement". This course will provide you with a deeper understanding of the intricate processes that govern our ability to move and perform complex motor tasks. In this course you will learn how generation of the activation signals required for movement can involve different parts of the nervous system. The discussion begins with the simplest neural pathways, those involving reflexes. Despite the simplicity of these pathways, the responses they produce depend on the context in which they are activated. The second type of movement to be considered will be the automatic behaviors produced by rhythmic activation signals. You will learn that these signals are constrained by the biomechanical requirements for the movement, they are modulated by the information received by the central nervous system from sensory receptors, and they are controlled by different parts of the brain. By the end of this course, you will have gained a solid understanding of the neural pathways that underlie reflexes, locomotion, and intentional actions. You will appreciate the remarkable complexity and organization of our nervous system, and how it enables us to interact with the world around us. Whether you are interested in sports science, rehabilitation, or neurology, this course will equip you with the knowledge and skills to excel. In first module for this course you will learn how generation of the activation signals required for movement can involve different parts of the nervous system. The discussion begins with the simplest neural pathways: those involving reflexes. 11 videos3 assignments The second module of this course establishes that despite the simplicity of the spinal reflex pathways, the responses can be modulated across conditions and by training interventions. 10 videos3 assignments1 discussion prompt The third module of this course explains how the central nervous system generates automatic behaviors, such as locomotion. These behaviors are produced by rhythmic activation signals. You will learn that these signals are constrained by the biomechanical requirements for the movement. They are modulated by the information received by the central nervous system from sensory receptors, and they are controlled by different parts of the brain. 8 videos3 assignments The final module explains that although the locomotor rhythm is produced by networks in the spinal cord, these networks are activated and modulated by inputs from peripheral sensory receptors and descending pathways from supraspinal centers. 7 videos2 assignments1 discussion prompt

4 modules

Intermediate level

9 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/fundamental-neural-pathways-movement

Cluster Analysis in Data Mining

42,424

4.5

Jiawei Han

University of Illinois Urbana-Champaign

['Cluster Analysis', 'Data Clustering Algorithms', 'K-Means Clustering', 'Hierarchical Clustering']

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. You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. 1 video3 readings1 assignment1 discussion prompt1 plugin 13 videos2 readings2 assignments 15 videos3 readings1 assignment1 programming assignment 9 videos2 readings2 assignments 10 videos1 reading1 assignment1 programming assignment In the course conclusion, feel free to share any thoughts you have on this course experience. 1 discussion prompt1 plugin

6 modules

16 hours to complete (3 weeks at 5 hours a week)

https://www.coursera.org/learn/cluster-analysis

88%

3D CAD Fundamental

76,625

4.6

康仕仲

National Taiwan University

[]

There have many three-dimensional shape of the object in your brain that are wanted to share, but do not know how to express? How to "sketch" the three-dimensional image in your mind? 3D modeling technology can help us construct the most intuitive and understandable three-dimensional model. The use of floor plan interpret the three-dimensional object process－the most direct and effective expression of our ideas. We have designed many paradigms so that people can quickly understand the logic of using 3D CAD software Sketchup and drawing skills, from introduction to advanced, and introduce SketchUp 3D modeling technologies. After completing "3D CAD Fundamental", it is no longer difficult to draw ideas that are beyond imagination with 3D modeling technology! The goal of this course is to construct a three-dimensional model, with the computer as the main teaching material, to enrich the fun paradigm and the complete drawing process. Step-by-step teach you how to use Sketchup's 3D modeling software technology. With the completion of "3D CAD Fundamental", you will be able to realize the 3D objects that exist in the imagination through 3D modeling! This module includes the course syllabus, grading policy and tips to learn Sketchup well. It also includes the first step of learning, installation of Sketchup. 4 videos2 readings Here comes the first example, magic cube. The purpose of this module is to help learners be familiar with basic tools in Sketchup, including [Line], [Divide], [Push/Pull], [Tape Measure] and [Guides]. In this module, we will start drawing a cube, then reformed it into steps by using [Divide], create another cube by using [Push/Pull], and finally make a hole on the cube by combining [Push/Pull], [Tape Measure] and [Guides]. 6 videos1 assignment1 peer review The second example, toy house is designed for learners to be familiar with [Move] and [Arcs]. Inclined roof is a highlight in the example. Learners will understand how to add objects not perpendicular to the reference surface. The module also includes the methods of using [Arcs]. 6 videos1 assignment1 peer review The third example, Beach ball is designed for learners to be familiar with [Circle], [Follow me], [Rotate] and [Paint Bucket]. Learners will understand how to draw a sphere using [Circle] and [Follow Me], how to use [Rotate] and [Copy] to draw the surface of the sphere and how to use selection tricks to delete all the unnecessary planes. The module also includes the methods of using [Paint bucket] to finish the beach ball. 8 videos1 assignment1 peer review Here comes the fourth example. This module, curtain, includes more decoration skills. Learners will learn how to create deformations on the curtain by combining [Move], [Measurements box] and [Scale], and how to decorate it by using [Mirror] and [Soften effect]. 8 videos1 assignment1 peer review The last example is coming! This module, solid tool, is designed for learners to be familiar with [Subtract], [Union], [Intersect] and [Split]. Learners will learn how to create different shaped objects, by using one object to add or remove a piece of volume to another object. 3 videos1 peer review This module includes course review and a short introduction of next course: 3D CAD Application. 2 videos

7 modules

Beginner level

https://www.coursera.org/learn/3d-cad-fundamental

92%

Foundations of Health Equity Research

6,408

4.8

Lisa A. Cooper, M.D.

Johns Hopkins University

['Research Methods', 'Epidemiology', 'health equity research', 'Research Design', 'Health Research']

Introduces students to the core principles of health equity research. Covers topics such as defining health equity, engaging community and policy stakeholders, patient-centeredness, cultural competence, and dissemination of research findings. Content will recognize different geographic, cultural, and social contexts where health inequities occur. This module will provide an introduction to health equity research. In this module, we discuss enhancing patient-centeredness, increasing cultural competence, and reducing bias to build community trust and implement interventions to eliminate health disparities. 7 videos3 readings1 assignment1 discussion prompt3 plugins In this module, we discuss engaging community stakeholders in health equity research and best practices in community-based participatory research (CBPR). 6 videos1 reading1 assignment1 discussion prompt1 plugin In this module, we describe ways to engage policymakers to address social determinants of health disparities. 5 videos1 reading1 assignment1 discussion prompt2 plugins In this module, we discuss engaging health system leaders and organizational stakeholders in health equity research, and share lessons learned and best practices. 7 videos1 reading1 assignment1 discussion prompt1 plugin In this module, we discuss how to disseminate health equity research and the importance of sharing health equity research findings with key stakeholders. 3 videos1 reading1 assignment1 discussion prompt

5 modules

Beginner level

14 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/health-equity-research

Applied Data Science Capstone

172,042

4.7

Yan Luo

IBM

['Github', 'Jupyter Notebook', 'K-Means Clustering', 'Methodology', 'Data Science Methodology']

This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets. In this course you will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders. You will be tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch. In this course, there will not be much new learning, instead you’ll focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your data science and machine learning portfolio to showcase to employers. In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this module, you will be provided with an overview of the problem and the tools you need to complete the course. 3 videos1 reading4 assignments3 app items1 plugin In this module, you will collect data on the Falcon 9 first-stage landings. You will use a RESTful API and web scraping. You will also convert the data into a dataframe and then perform some data wrangling. 1 video4 assignments2 app items In this module, you will build a dashboard to analyze launch records interactively with Plotly Dash. You will then build an interactive map to analyze the launch site proximity with Folium. 1 video2 assignments2 app items In this module, you will use machine learning to determine if the first stage of Falcon 9 will land successfully. You will split your data into training data and test data to find the best Hyperparameter for SVM, Classification Trees, and Logistic Regression. Then find the method that performs best using test data. 1 video2 assignments1 app item In this module, you will compile all of your activities into one place and deliver your data-driven insights to determine if the first stage of Falcon 9 will land successfully. 2 videos3 readings1 peer review6 plugins

5 modules

Intermediate level

https://www.coursera.org/learn/applied-data-science-capstone

89%

Technologies and platforms for Artificial Intelligence

2,818

4.7

Manuel Roveri

Politecnico di Milano

[]

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems. 3 videos1 assignment 3 videos1 assignment 3 videos1 assignment 3 videos

4 modules

Beginner level

2 hours to complete

https://www.coursera.org/learn/technologies-and-platforms-for-artificial-intelligence

Essentials of Palliative Care

5,258

4.7

Kavitha Ramchandran

Stanford University

['Communication', 'Goals of Care/ACP', 'Self-Care', 'Palliative Care', 'Psychosocial Support']

This course starts you on your journey of integrating primary palliative care into your daily lives. You will learn what palliative care is, how to communicate with patients, show empathy, and practice difficult conversations. You will learn how to screen for distress and provide psychosocial support. You will learn about goals of care and advance care planning and how to improve your success with having these conversations with patients. Finally, you will explore important cultural considerations and improve your cultural competency on the topics covered. For clinicians, the goal of this course is to help you incorporate primary palliative care into your daily practice or help you know when to seek a specialist. We will help you improve your patient’s quality of life and provide self-care tips to help you maintain your own. For patients and caregivers, this course will empower you to talk to your provider and get palliative care, if necessary. 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! Palliative Care Always is about optimizing quality of life at any stage of disease. This course, Essentials of Palliative Care, is rooted in the belief that incorporating the principles of palliative care into clinical practice can improve the quality of life for our patients and their support systems (including clinicians!). A team of Stanford faculty and staff designed this course to educate you about palliative care. Together, you will learn how it intersects with treating serious illness, and how palliative care skills can help improve quality of life for patients, families and providers. Our hope is that you will feel increasingly equipped to support the diverse needs of patients with serious illness. 3 readings2 assignments This module focuses on what palliative care is, the roles of the care team and the difference between primary and speciality palliative care. 8 videos6 readings4 assignments1 discussion prompt1 plugin Discussing difficult news is always a challenge for a variety of reasons.  In this module, we will cover methods you can use to make these conversations more successful.   Communication is the foundation of patient and clinician relationships and a key component of palliative care. Effective communication can build trust and promote clarity in the face of difficult decisions. Still, communication--especially about prognosis and transitions in care--is a challenging aspect of patient care in which clinicians cite a lack of confidence and skill. This module covers basic skills in communicating with patients, families, and peers. You will hear about practical ways to incorporate communication skills into your daily practice and your daily life. These skills will help you tune in to the needs and desires of patients and families and form a partnership that promotes well-being. 3 videos7 readings4 assignments1 discussion prompt1 plugin Most families living with cancer will experience some form of emotional, psychological or social distress. This may exist as episodes of grief or anxiety at specific points such as diagnosis or progression, or it may be a more chronic experience that has an ongoing impact on relationships and day-to-day life. Psychosocial distress itself affects quality of life while also exacerbating physical symptoms and influencing decisions regarding treatment. This module explores psychosocial distress and introduces you to skills for assessing and managing psychosocial distress. These skills will help you identify and begin to address the emotional and social needs of patients and families. 2 videos6 readings4 assignments1 discussion prompt1 plugin Goals of cancer care are often associated with prolonging life or preparing for the end of life. However, goals of care conversations identify wishes and values that guide every medical decision and help patients and families live the best life possible at every phase of care. Goals of care discussions help patients and providers balance the evidence about disease and treatment with subjective needs and values. To this end, conversations about goals should be introduced early and revisited regularly to make sure healthcare decisions are in line with a patient's wishes. Throughout this module, we introduce goals of care conversations and communication skills as they relate to identifying goals and values. 2 videos7 readings4 assignments1 discussion prompt Healthcare providers, in general, make a life of being attentive to and providing resources for people during times of illness and suffering. This type of work, while essential and rewarding, undoubtedly bears its cost in work-related stress, burnout and fatigue. The response to internal and external stress is a key influencer on wellbeing. During this module, we discuss how to identify burnout in yourself and provide tips to ease the challenges that healthcare providers face. 2 videos4 readings3 assignments1 discussion prompt1 plugin 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

7 modules

Beginner level

https://www.coursera.org/learn/essentials-of-palliative-care

98%

SHRM Certified Professional (SHRM-CP) Exam Prep Specialization

Enrollment number not found

4.1

Board Infinity

Board Infinity

['HR Competencies', 'Preparation for SHRM Certification', 'Strategic HR Management', 'Leadership and Communication', 'Data Analytics and Technology', 'Legal Compliance and Ethics', 'HR Competencies', 'Preparation for SHRM Certification', 'Strategic HR Management', 'Leadership and Communication', 'Data Analytics and Technology', 'Legal Compliance and Ethics']

This SHRM Certification Preparation specialization provides comprehensive training in HR competencies, strategic management, and leadership skills necessary for SHRM certification success. Learners will gain practical insights through real-world case studies and expert-led videos, preparing them to navigate global HR challenges and leverage technology and data analytics in HR practices. Developed in collaboration with industry partners, this specialization ensures learners are equipped with the knowledge and skills required to excel in diverse HR roles. Applied Learning Project In the SHRM Certification Preparation specialization, learners will engage in practical projects to reinforce their knowledge and skills in human resources management. Projects include HR case study analysis, leadership and team development, and a SHRM exam preparation simulation. These projects aim to enhance practical application of specialized HR knowledge, preparing learners for SHRM certification and advancing their careers in HR management. Analyze and apply advanced talent acquisition strategies to enhance recruitment and retention outcomes. Evaluate the role of technology and strategic HR practices in improving organizational effectiveness and development. Develop and demonstrate core SHRM competencies, including ethical practice, conflict management, and global awareness. Synthesize HR functions and leadership roles to foster a transformative organizational culture and efficient HR service culture. Analyze the strategic role of talent acquisition and workforce planning in organizational success. Evaluate the effectiveness of various HR technologies and their impact on recruitment and employee engagement. Develop advanced leadership skills and high-performance team-building techniques tailored for HR professionals. Apply innovative HR practices to enhance agility and prepare for future challenges in the HR landscape. Analyze the SHRM exam format and apply effective test-taking strategies to enhance exam performance. Evaluate real-world HR case studies to develop and assess solution strategies and outcomes. Develop leadership skills for driving HR transformation and building a resilient HR team. Create a personal career advancement plan incorporating networking, personal branding, and lifelong learning strategies.

3 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/shrm

Amazon DevOps Guru Getting Started

Enrollment number not found

Rating not found

AWS Instructor

Amazon Web Services

[]

In this course, you will learn the benefits and technical concepts of Amazon DevOps Guru. If you are new to the service, you will learn how to start using DevOps Guru through a demonstration using the AWS Management Console. In this course, you will learn to do the following: - Describe how DevOps Guru works. - Familiarize yourself with the technical concepts of DevOps Guru. - List typical use cases for DevOps Guru. - Specify what it would take to implement DevOps Guru in a real-world scenario. - Recognize the benefits of DevOps Guru. - Explain the cost structure of DevOps Guru. - Explore how to use DevOps Guru in the AWS Management Console and using the AWS Command Line Interface (AWS CLI). In this course, you will learn the benefits and technical concepts of Amazon DevOps Guru. If you are new to the service, you will learn how to start using DevOps Guru through a demonstration using the AWS Management Console. 1 reading1 assignment

1 module

Beginner level

1 hour to complete

https://www.coursera.org/learn/amazon-devops-guru-getting-started

Rocket Science for Everyone

13,390

4.9

Marla Geha

Yale University

['Astronomy', 'Physics', 'Rocket Science Basics', 'GPS basics', 'Basic Orbital Mechanics']

This course is an intuitive introduction to rocket science in our everyday lives. Modern life increasingly depends on technology provided by Earth-orbiting satellites, from detailed weather predictions to broad-band internet and GPS. How are satellites launched into orbit and how do they work once they get there? Why are rockets used to get into orbit and how are they different from airplanes? This introductory course is aimed at a wide non-technical audience and is appropriate for all ages. This course is intended to be an intuitive introduction to rocket science in our everyday lives. This module will motivate and outline the course. 2 videos2 readings Where do satellites orbit? In this module, we will explore what it means to be in orbit around the Earth and define the three major regions where most satellites orbit. 11 videos1 assignment How do satellites get into orbit? In this module, we will explore why rockets are needed to launch satellites to orbit and how rockets work. 7 videos1 assignment What is sent into orbit? We will explore how satellites work and breakdown different satellite components. 5 videos1 assignment Why do satellites go into orbit? We will wrap up the course by diving into 3 specific satellite missions. 2 videos1 reading

5 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/rocket-science-for-everyone

Introduction to Quantum Information

18,287

4.2

Joonwoo Bae

Korea Advanced Institute of Science and Technology(KAIST)

[]

The course provides an introduction to quantum information at a beginning graduate level. It focuses on the fundamental understanding of how information is processed with quantum systems and how the quantum properties apply to computing and communication tasks. The course begins by presenting quantum theory as the framework of information processing. Quantum systems are introduced with single and two qubits. Axioms of quantum theory such as states, dynamics, and measurements are explained as preparation, evolution, and readout of qubits. Quantum computing and quantum communication are explained. Entanglement is identified as a key resource of quantum information processing. Manipulation and quantification of entangled states are provided. Quantum information processing opens an avenue to new information technologies beyond the current limitations but, more importantly, provides an approach to understanding information processing at the most fundamental level. What is desired is to find how Nature performs information processing with the quantum and classical systems. The ultimate power of Nature in computing and communication may be found and understood. The course provides a modest step to learn quantum information about how physical systems can be manipulated by the laws of quantum mechanics, how powerful they are in practical applications, and how the fundamental results make quantum advantages. 6 videos1 assignment 5 videos1 assignment 5 videos1 assignment 5 videos1 assignment 5 videos1 assignment 6 videos1 assignment 1 video1 assignment

7 modules

Advanced level

10 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/introduction-to-quantum-information

HTML & CSS Crash Course

1,722

4.5

Kevin Powell

Scrimba

['HTML and CSS', 'HTML', 'Cascading Style Sheets (CSS)']

Are you interested in delving into the realm of web development but find yourself unsure of where to start? Do you aspire to acquire the skills needed to build your own websites? Have previous attempts to grasp HTML and CSS through conventional courses left you disinterested or overwhelmed? If your response aligns with a resounding "YES" to any of these inquiries, then this course is perfectly tailored to meet your needs! What Sets Our Course Apart? Our course boasts the distinguished presence of Kevin Powell, one of YouTube's foremost and highly-regarded instructors, in conjunction with Scrimba's distinctive and interactive code-learning platform. This amalgamation offers a learning experience that stands unparalleled in the industry. Our instructional sessions are meticulously designed to both captivate and educate, as we firmly believe that engaging content accelerates the learning process, ensuring that monotony never stifles your progress. A comprehensive HTML & CSS crash course designed to provide a rapid yet thorough foundation in web development with plenty of hands-on practice. 1 assignment30 plugins

1 module

Beginner level

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/html--css-crash-course

Our Earth's Future

37,772

4.7

Debra Tillinger, Ph.D.

American Museum of Natural History

[]

Our Earth’s Future is about the science of climate change and how to talk about it. You will learn from scientists in the fields of climatology, oceanography, Earth science, and anthropology who study how climate change is affecting people, populations, and ways of life. Explore the multiple lines of evidence for the human-induced climate change that is happening today, and consider what that means for the future of our planet. At the end of this course you will be able to understand key scientific principles, identify and address misconceptions, and contribute confidently to conversations about climate change. Human-induced climate change is happening. But in order to explore the evidence for this claim, we must first ask two questions: “What is science?” and “What is climate?” Once we understand how science is done and the basic dynamics of the climate system, we’ll focus on how scientists study ice cores, and see how evidence of climate change in the past is fundamental to understanding what lies ahead. 4 videos4 readings1 assignment Both the ocean’s sheer size – it covers seventy percent of our planet’s surface – and the properties of water make the ocean a major player in Earth’s climate system. An enormous reservoir of heat, the ocean is an important mechanism of heat storage and exchange with the atmosphere, which has important implications for climate change. We’ll focus on one of the consequences of warming: melting of the Greenland and Antarctic ice sheets. How might this melting lead to future sea level rise? Scientists are studying geological records of past warming, and associated sea level rise, to see what the future may bring. 4 videos1 reading1 assignment An important counterpart to observational evidence is computer modeling, an essential tool for investigating how the climate system works and how it will respond to continued greenhouse gas buildup in the atmosphere. How do we know that a model is accurate? One way is to consider a past event, enter the historic climate data, and see if the model successfully “hindcasts” the event in reasonable detail. Ever more detailed, today’s supercomputer models can even help identify the potential causes of climate events on a regional scale, as climatologist Dr. Michela Biasutti explains using her research on droughts in sub-Saharan Africa. 3 videos2 readings1 assignment Climate change is often framed as a future phenomenon, but it’s clear that people are already experiencing the consequences. What are the effects? It depends to some extent on where, and how, you live. For example, in the Pacific Islands, where sea level rise is threatening entire ways of life, communities have come together to prepare. What happens when there’s no place to go? Coastal communities aren’t the only ones at risk; food insecurity may one day threaten us all. And of course, humans are not the only species affected, and some will be at even greater risk in the future. 5 videos2 readings1 assignment What happens next? We don’t know, but the answer depends far less on scientific data than on human action—or inaction. The major uncertainty is the future rate of greenhouse gas emissions, which is impossible to predict because it depends on socioeconomic, technological, and political developments. Furthermore, the risks posed by different kinds of natural phenomena vary widely, and similar events can have very different consequences depending on where and even when they occur. How will the effects be distributed, and how resilient are we? Hurricane Sandy provided lessons about our willingness to accept and plan for a future where severe climate events happen more frequently. 3 videos6 readings1 assignment

5 modules

8 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/earth-climate-change

97%

Translating Research to Patients

Enrollment number not found

Rating not found

Vicki Ellingrod

University of Michigan

['healthcare', 'Research', 'Translational science']

The second phase of translational research — known as “T2” — assesses the value of applying discoveries to clinical practice, which leads to the development of evidence-based guidelines. This course focuses on clinical trials, the value of applying discoveries to clinical practice, and best practices for conducting research. You’ll see examples of human subjects research through clinical trials that have been translated into practice and, later, into basic scientific discoveries. You’ll also discuss the role of the federal government in supporting and regulating translational research conducted on humans. This is the third course of five in the “Translational Science” series. Welcome to Week 1 of Translating Research to Patients. This week you will learn to 1) describe the four types of clinical trials research and the purpose for each type, and 2) define human subjects research and describe its purpose in the ethical conduct of translational research. 1 video8 readings2 assignments Welcome to Week 2 of Translating Research to Patients. This week you will learn to 1) explain the role of the IRB in the ethical conduct of research, and 2) describe the role of the US Federal Drug Administration in the development and testing of pharmaceutical therapies. 5 readings2 assignments Welcome to Week 3 of Translating Research to Patients. This week you will learn to 1) describe examples of human subjects research and identify where it fits in the translational research spectrum, and 2) review your Individualized Development Plan (IDP) and update it as needed. 4 videos1 reading1 assignment2 discussion prompts

3 modules

Beginner level

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/translating-research-to-patients

Introduction to Public Speaking

344,358

4.7

Dr. Matt McGarrity

University of Washington

['Confidence', 'Presentation', 'Speech', 'Public Speaking']

This course offers a proven framework for crafting and delivering impactful presentations. In the professional world, academic settings, or public life, we're frequently asked to "share some thoughts." Many individuals struggle in these situations. This course aims to make you excel where others stumble. We'll explore how to structure speeches coherently, write memorably, and present confidently. Upon completion, you will diminish your public speaking anxiety, leverage rehearsal methods to develop a robust, engaging speaking voice, and execute speeches with dynamic movements. The speech model we'll practice is versatile for briefings, elevator pitches, interviews, and even as a blueprint for hour-long presentations. Whether you're a novice or an experienced speaker, this course will help you master speaking fundamentals or elevate your public speaking skills to new heights. As a bonus, you'll gain access to an immersive VR experience that lets you perfect your presentation skills in a simulated auditorium or conference room, complete with a virtual audience. You will receive real-time feedback, empowering you to refine your abilities through practice in a realistic setting. Thank you for joining Introduction to Public Speaking! I am thrilled at the prospect of a global discussion about good speech. Let's get started! In this module, we’ll focus on the basics of the course and how rhetorical canons will help us structure our time. Then we’ll turn to the important ways that speaking and writing differ. By the end of this week, you should have some tools for evaluating your speech writing. If you want some feedback, you’ll be able to upload an introductory speech for peer review. 13 videos3 readings2 assignments1 peer review1 app item1 discussion prompt Now that we have the course foundation out of the way, we can work on our basic speech model: the key point speech. I love this format. It's the Swiss army knife of speeches. This basic model works in interviews, short presentations, elevator talks, and can even structure an hour long presentation. After overviewing the assignment, we’ll talk about how to plan out your speeches. By the end of the week, you should have some tools for quickly putting together short presentations. You can practice this by analyzing some speeches. 14 videos8 readings2 assignments1 peer review1 discussion prompt This week, we’ll talk about support and arrangement. The lessons here will immediately help all of your other presentations. Why? Because we need to think about how audiences hear our ideas in real time. There are things we should be doing to help listeners instantly organize and process the information we’re presenting to them. By the end of the week, you should be able to discuss evidence clearly and highlight your speech's organization. If you want some feedback, you’ll be able to upload a practice elevator speech for peer review. 14 videos2 readings2 assignments1 peer review This week, we'll discuss speech apprehension and delivery. I know the fear of public speaking is a pressing topic for many. Why didn’t we start the course with this? Because I think many delivery concerns go away if the invention and arrangement are good. However, invention and arrangement are just part of the equation - now we can supercharge our delivery. By the end of this week, you’ll have some techniques for combating those butterflies and speaking confidently. If you want some feedback, you’ll be able to upload a practice key point speech for peer review. 15 videos6 readings3 assignments1 peer review1 discussion prompt Thank you for time in this course. I hope the material has proven helpful in some way. We concluded our discussion of the speech last week. I would like to spend a bit of time reflecting on the course and talking a bit about the other courses in this specialization. We will end this week with your final key point speech. 3 videos1 peer review1 app item

5 modules

Beginner level

https://www.coursera.org/learn/public-speaking

97%

AWS Solutions Architect - Associate Specialization

Enrollment number not found

4.2

LearnKartS

LearnKartS

['Amazon Dynamodb', 'Serverless Computing', 'Amazon Web Services', 'Amazon DynamoDB', 'ElastiCache', 'Amazon Aurora', 'AWS Identity And Access Management (IAM)', 'Cloud Computing', 'DynamoDB', 'api gateway', 'Amazon Dynamodb', 'Serverless Computing', 'Amazon Web Services', 'Amazon DynamoDB', 'ElastiCache', 'Amazon Aurora', 'AWS Identity And Access Management (IAM)', 'Cloud Computing', 'DynamoDB', 'api gateway']

TheAWS Certified Solutions Architect Associatespecialization is for individuals seeking to develop proficiency in AWS cloud architecture and services. The course also aligns with theAWS Certified Solutions Architect Associate exam structure,helping you prepare for the certification exam. This is a4-course series.The four courses will cover topics such as AWS core services, cloud security, networking, storage solutions, database management, and architectural best practices, which will prepare you to design and implement scalable, highly available, and fault-tolerant systems on AWS. The AWS Solutions Architecture Certification course is designed fromabsolute scratch,making it ago-to choicefor anyone new to AWS cloud computing. This course hashands-on demos, quizzes, exam simulators for exam practice, and high-qualitytheory content videosprepared by industry experts. Therefore, this course is all you need to gain a deeper understanding of AWS cloud architecture and ace the AWS Solutions Architect – Associate Certification. Applied Learning Project The specialization offers31 demoson AWS functionalities. Key projects include connecting to EC2 instances, creating AMIs, launching and setting up EC2, installing Apache, and using Snowball, CloudFront, Storage Gateway, and Route53 basics. It coversnetworking with subnets and VPCs, managing RDS and DynamoDB, optimizing with ElastiCache and Auto-scaling, working with EBS and SNS, creating S3 with CloudFormation, and utilizing CloudWatch, CloudTrail, Lambda, API Gateway, and Well-architected Framework tools.This course also equips learners with hands-on skills in AWS cloud infrastructure management and deployment. The specialization also covers3 case studies:scaling challenges, scalability, performance optimization, and architecture transformation. Projects include designing scalable solutions, optimizing system performance, and transforming traditional architectures to cloud-native models. The course uses AWS tools likeEC2, Auto Scaling, RDS, and CloudFormation. Understand the differences between AWS and other major cloud platforms such as Google Cloud Platform (GCP) and Microsoft Azure. Learn how to set up Identity and Access Management (IAM) in AWS and implement optimal security measures. Utilize IAM to manage identities and control access within AWS environments effectively. Apply IAM policies to govern permissions strategically and ensure secure access management. Learn how to deploy and manage EC2 instances for scalable computing power. Understand and utilize various AWS storage solutions, including S3, Glacier, and CloudFront. Configure DNS routing and health checks using Route 53 for seamless connectivity. Design and optimize database solutions with AWS services like RDS and DynamoDB. Learn how to master auto-scaling and load-balancing techniques for effective dynamic resource management. Explore leveraging a multitude of AWS services to create diverse cloud solutions. Understand how to implement monitoring and logging solutions using CloudWatch, CloudTrail, and OpsWorks Gain skills in architecting serverless applications with AWS Lambda, API Gateway, and Cognito. Understand core AWS services and their integration in cloud solutions. Design resilient architectures for availability, scalability, and performance using AWS. Master cost optimization strategies with AWS pricing models and services. Implement best practices for AWS security and compliance, covering IAM, data encryption, and network security.

4 course series

Intermediate level

3 months (at 2 hours a week)

https://www.coursera.org/specializations/aws-certified-solutions-architect-associate-course

Increasing Real Estate Management Profits: Harnessing Data Analytics

15,597

4.7

Daniel Egger

Duke University

['Data Analysis', 'SQL', 'Tableau Software', 'MySQL']

In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc. Watershed is responsible for managing thousands of residential rental properties throughout the United States. Your job is to persuade Watershed’s management team to pursue a new strategy for managing its properties that will increase their profits. To do this, you will: (1) Elicit information about important variables relevant to your analysis; (2) Draw upon your new MySQL database skills to extract relevant data from a real estate database; (3) Implement data analysis in Excel to identify the best opportunities for Watershed to increase revenue and maximize profits, while managing any new risks; (4) Create a Tableau dashboard to show Watershed executives the results of a sensitivity analysis; and (5) Articulate a significant and innovative business process change for Watershed based on your data analysis, that you will recommend to company executives. Airbnb, our Capstone’s official Sponsor, provided input on the project design. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion. "Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone." The goal for this week is to learn about the Capstone Project you are tasked with, acquire background about the business problem, and begin to outline the steps of your analysis. 5 videos12 readings1 assignment1 peer review The goal of this week is for you to extract the relevant data from the MySQL database you are given access to, and to look at it briefly in Tableau to get sense of what data you have. 1 video2 readings2 assignments1 ungraded lab The goal of this week is for you to create a financial model using Excel to analyze the data you extracted from the database, and to start to predict short-term rents for some of Watershed's existing properties. 5 videos15 readings5 assignments The goal for this week is for you to use your projections about the Watershed properties to estimate cash flows and profits Watershed would experience if it converted properties to short-term rentals. 3 videos10 readings4 assignments The goal of this week and next week is to build an analytical dashboard in Tableau using the data models and assumptions you have discovered in prior weeks. 6 videos2 readings This week complete your dashboard and add design elements so the dashboard is ready for stakeholders (Watershed executives, for example) to use it to test your model's assumptions. 2 videos5 readings1 assignment This week, design and give a presentation for Watershed executives with your business recommendations, and complete a white paper template. Evaluate 3 peer's dashboards, white papers and presentations. 2 videos6 readings1 assignment1 peer review

7 modules

22 hours to complete (3 weeks at 7 hours a week)

https://www.coursera.org/learn/analytics-capstone

97%

Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)

4,716

4.7

Matt Austin

Johns Hopkins University

['Data Analysis', 'Performance Measurement', 'Project Evaluation']

How will you know if your patient safety and quality project is meeting its objectives? Peter Drucker once said “What gets measured, gets managed.” In this course, students will learn why measurement is critical to quality improvement work. Equally important, they will learn which data sources provide the most meaningful information and tools for how and where to locate them. Finally, students will learn how to interpret data from their patient safety and quality projects to guide and modify them during implementation to maximize their chances of making a difference for patients. In this module, learners will develop an understanding of what is performance measurement in healthcare, what constitutes a “good” performance measure, and basic frameworks that have been used for categorizing measures. Learners will become familiar with some of the well-known entities involved in performance measurement in healthcare and key challenges in the field. 8 videos1 assignment In this module, learners will gain knowledge of the primary audiences for publicly reported performance measure sand some of the key measures that are currently reported. Learners will be exposed to some of the key websites that publicly report performance data and hear from a health system leader about some of the benefits and challenges of having a hospital’s quality and safety performance publicly available. 10 videos1 peer review In this module, learners will develop an understanding of the different tools that are available to analyze data used in quality and safety improvement work and how the data can be visualized for different audiences.Two case studies will be shared to demonstrate how these data analysis and visualization tools can be used in a real-life setting. 6 videos1 assignment In this module, learners will be exposed to how mixed-methods research, which includes integrating qualitative and quantitative data together, can be used successfully in quality improvement projects.Learners will also become familiar with how data and measures are used to evaluate the success of a quality improvement project. Two case studies will be shared to demonstrate how these concepts have been used in real-life quality improvement projects. 5 videos1 assignment

4 modules

6 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/patient-safety-measurement

Introduction to the Arctic: Climate

16,607

4.5

Paul Myers, Ph.D

University of Alberta

[]

The University of Alberta, the University of Tromso and the University of the Arctic invite you to explore this four week course that examines the environment and climate of the circumpolar North. This course is the result of an international collaboration and provides you with an insight into our planet's North. Following an overview of regional geography, we will focus on the cryosphere (ice), as well as the atmosphere and ocean of the region. We will learn why the Arctic is cold and ice covered, and how that impacts its climate and ecosystems. We will also consider how the Arctic is connected to the rest of the world. Finally, we will examine present day climate change, the processes driving it, and evidence for it in the Arctic, before looking at the implications in the rapidly evolving North. Watch a preview of the course here: https://uofa.ualberta.ca/courses/arctic-climate This course is about the remarkable northern regions of the earth, the Arctic! Although sometimes considered remote and dangerous, the Arctic is home to many peoples, along with the ecosystems that they coexist with. Researchers from many fields, both scientists and non-scientists, study this vast circumpolar region to understand the environment, peoples, animals, economies, and resources. You’ll soon learn about the environments (the characteristics of the natural world) and climate (the prevailing atmospheric, oceanic and ice conditions) of the world’s North. 4 videos6 readings1 assignment In this lesson we’ll learn about the climate of the Arctic, and the way the climate interacts with the rest of the Earth system. In Lesson 1, we saw how the Earth receives energy from the sun and how heat is trapped on our planet through the natural greenhouse effect. We will now discuss how this energy is distributed throughout the globe and how it is transferred from the tropics to the poles via the large-scale circulation systems of the atmosphere and the ocean. We’ll learn the difference between the natural and the human-induced greenhouse effect - driven by the input of greenhouse gases created by burning fossil fuels, such as carbon dioxide and methane - and discuss what the future holds for the Arctic’s climate. As you will see, the global climate system is tightly linked and climate change in the Arctic also strongly affects temperate latitudes. 6 videos2 readings1 assignment In this lesson, we’ll be learning about the Arctic cryosphere, which is the portion of the Earth’s surface where water occurs in solid forms. Such as snow and ice! In Lesson 2, we talked about atmospheric and oceanic circulation. Now we will learn about when and how ice forms on the surface of the Earth, including such topics as: sea ice, river ice, glaciers , and permafrost. How all this ice formed on the ocean and on (and in) the land? How it relates to the atmosphere and ocean? 4 videos1 reading1 assignment In this lesson, we’ll be learning about the implications of climate change. Through the first 3 lessons, we’ve learned a great deal about the Arctic environment. This environment is rapidly changing, largely due to industrial human activity throughout the world. You’ll remember the natural greenhouse effect that we discussed in Lesson 1. Carbon dioxide and water vapour are among the naturally occurring greenhouse gases in the atmosphere. They trap outgoing longwave radiation, raising the average temperature of the Earth. We will learn and discuss how sea ice and glaciers react to changes in our atmosphere and oceans. We will then discuss the implications of the changing environment on ecosystems, wildlife and humans. 4 videos1 reading1 assignment

4 modules

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/arctic-introduction-climate

96%

Silicon Thin Film Solar Cells

6,896

4.2

Pr. Bernard Drevillon

École Polytechnique

[]

This course consists of a general presentation of solar cells based on silicon thin films. It is the third MOOC of the photovoltaic series of Ecole polytechnique on Coursera. The general aspects of the photovoltaic field are treated in "Photovoltaic Solar Energy". And the detailed description of the crystalline silicon solar cells can be found in "Physics of Silicon Solar Cells". After a brief presentation of solar cells operation, thin film semiconductors are described here. The general properties of disordered and crystalline semiconductors are found very different, in particular in terms of band structure and doping mechanisms. Silicon thin films, generally less than 1 µm thick, are deposited from silane plasma leading to hydrogen incorporation. The growth mechanisms are discussed, in particular the capability to prepare partially crystallized thin films which appear as a mixture of nanocrystallites embedded in an amorphous tissue. The consequences of the semiconductor properties on solar cells behavior are reviewed. The optical properties of amorphous and nanocrystalline silicon are complementary. Thus the plasma process is particularly well adapted to the preparation of multijunctions, with conversion efficiencies around 13-15 %. Furthermore plasma processes allow to prepare solar cells in large area on glass or flexible substrates. Finally, it is shown that crystalline and amorphous silicon materials can be combine into heterojunctions solar cells with high efficiency conversion (about 25 %). **This course is part of a series of 3** Photovoltaic solar energy (https://www.coursera.org/learn/photovoltaic-solar-energy/) Physics of silicon solar cells (https://www.coursera.org/learn/physics-silicon-solar-cells/) Silicon thin film solar cells A description of the energetic source, the solar Spectrum, followed by the general principle of operation of solar cells based on semiconductor materials 9 videos3 assignments A general description of the properties of disordered semiconductors followed by a presentation of the most extensively used materials : hydrogenated amorphous silicon. 9 videos3 assignments A general review of silicon thin film solar cells and multijunctions followed by heterojunctions combining crystalline and amorphous silicon 6 videos4 assignments

3 modules

Advanced level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/silicon-thin-film-solar-cells

Object Oriented Programming Specialization

6,246

4.7

Dr Matthew Yee-King

University of London

['Software Engineering', 'Computer Programming', 'C++']

In this 5-course specialisation, you will develop various C++ programming skills. Rather than building many small programs as you will in other courses, we have taken a different approach: you will create a single, extensive program through the five courses. The program will be a simplified cryptocurrency exchange platform. We will cover the following learning objectives: Use control flow to build interactive, multi-branched, iterated programs Select appropriate data types to model the trading platform's information Convert algorithms from pseudo-code to C++ and test them Use classes to combine data and functions and to model interactions between different parts of a program Understand how to construct an extensive program from multiple modules The content for this specialisation is taken from the University of London's online BSc Computer Science degree. If you complete the courses and eventually take the course 'Object Oriented Programming' in the degree, you progress should be carried across. Applied Learning Project In this specialisation, you will build a single, large project: a cryptocurrency trading platform. You will build the program using C++ during five courses. The program runs in the command-line in text mode and it simulates the experience of buying and selling cryptocurrencies. The program works with a real data set representing the order book of a real currency exchange platform. By the end of the course, you will be able to write, compile and run a C++ program that takes user input and prints messages to the console. By the end of the course, you will be able to use loops and if statements to create an interactive menu system. By the end of the course, you will have started developing a simplified cryptocurrency trading platform. By the end of the course, you will be able to select appropriate data types to represent a dataset in a C++ program. By the end of the course, you will be able to understand, design, and write classes with functions in C++. By the end of the course, you will be able to convert pseudocode algorithms into working C++ code. By the end of the course, you will be able to use exception handling when processing unreliable data. By the end of the course, you will be able to use C++ built-in functions to read data from files. By the end of the course, you will be able to iterate over vectors of objects. By the end of the course, you will have a good underrstanding of the matching algorithm. By the end of the course, you will be able to use exception handling to write robust code. By the end of the course, you will have a fully functional crypto-currency exchange application. By the end of the course, you will be able to understand the use of static and non-static functions. By the end of the course, you will be able to explain how to model a familiar real-world entity as a class with data and functions.

5 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/object-oriented-programming-s12n

Foundations of Data Science

172,485

4.7

Google Career Certificates

Google

['Project Management', 'Sharing Insights With Stakeholders', 'Cross-Functional Team Dynamics', 'Asking Effective Questions', 'Effective Written Communication']

This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the functions of data analytics and data science within an organization -Identify tools used by data professionals -Explore the value of data-based roles in organizations -Investigate career opportunities for a data professional -Explain a data project workflow -Develop effective communication skills You’ll begin with an introduction to the Google Advanced Data Analytics Certificate. Then, you'll explore the history of data science and ways that data science helps solve problems today. 7 videos10 readings2 quizzes3 plugins Now that you’re more familiar with the history of data science, you’re ready to explore today’s data career space. You’ll learn more about how data professionals manage and analyze their data, as well as how data-driven insights can help organizations. 8 videos9 readings5 quizzes1 plugin You’ll identify the skills data professionals use to analyze data. You'll also explore how data professionals collaborate with teammates. 9 videos6 readings2 quizzes1 assignment You’ll learn about the PACE (Plan, Analyze, Construct, Execute) project workflow and how to organize a data project. You’ll also learn how to communicate effectively with teammates and stakeholders. 7 videos9 readings6 quizzes1 plugin You’ll complete an end-of-course project, gaining an opportunity to apply your new data skills and knowledge from Course 1 to a workplace scenario, and practice solving a business problem. 4 videos11 readings4 quizzes

5 modules

Advanced level

https://www.coursera.org/learn/foundations-of-data-science

98%

Linux Server Management and Security

38,038

4.6

Greg Williams

University of Colorado System

[]

Whether you are accessing a bank website, Netflix or your home router, chances are that your computer is interacting with a Linux system. The world runs on Linux. In this course, we will dive into how Linux works from an enterprise perspective. In week 1 we will look at what Linux is used for in the enterprise. By the end of week 1, you will be able to differentiate between different versions of Linux and understand how they are used in an enterprise environment. In week 2, we will explore how Linux systems are configured. By the end of week 2, you will be able to demonstrate different Linux commands and how they are used. You will also be able to interact with a Linux system. In week 3, we will explore Linux authentication mechanisms and how to add users and user controls to a Linux system. By the end of week 3, you should be able to demonstrate how to appropriately add users to a Linux machine and secure them. In week 4, we will explore how to harden a Linux system. By the end of week 4, you should be able to classify different technologies to secure Linux and differentiate access control methods for Linux applications. Welcome to the first module! This module will cover key aspects of the course in addition to discussing Linux in the enterprise and distributions. 4 videos8 readings2 assignments1 discussion prompt This module covers the installation and configuration of Linux in an enterprise setting. 5 videos5 readings2 assignments1 discussion prompt This module describes the essentials of managing users in the enterprise. 4 videos5 readings2 assignments1 discussion prompt This module covers Linux security. What does a system administrator need to know in order to adequately protect their systems. 4 videos4 readings2 assignments1 discussion prompt This is the course project. Linux threats come from a variety of sources. It's up to you to have a stance on how to administer and protect a system. 1 peer review

5 modules

Intermediate level

https://www.coursera.org/learn/linux-server-management-security

97%

Electrical Power Distribution

8,221

4.4

Subject Matter Expert

L&T EduTech

['Electrical Commissioning', 'Interdisciplinary coordination skills']

This is an application-oriented course explaining the various aspects of power distribution, indoor and outdoor equipment up to 33kV. The course adopts a cross-disciplinary approach to ensure that the learners understand site execution, testing and commissioning. Throughout the course, safety aspects have been emphasized in every area of work. This course blends with conceptual knowledge covering the latest technological trends like SCADA & automation. This course helps learners know the Electrical distribution system and master as a Construction Engineer/Planning Engineer and Commissioning Engineer . This course gives the learners insights about: 1. Electrical distribution methods 2. Types of loads 3. Green Field Construction of Overhead Lines 4. Distribution Line Components 5. Concepts of Auto reclosers and Sectionalizes 6. SCADA in detail Let's begin this course by knowing the Distribution Lines, the Primary and Secondary Distribution Types, all the data that is required for good distribution system design, and the types of the distribution lines. 9 videos2 readings1 assignment2 discussion prompts Before we learn about the distribution lines construction, its very important to know the types of consumers, the load details and the losses that occur. This helps to design and implement an efficient distribution system. This module covers all those details that is required before we go for distribution line design. 6 videos1 assignment1 discussion prompt This modules covers aspects of Green Field Construction of Overhead Lines. It takes a tour from selection of the equipment to testing, installation and commissioning. 6 videos1 assignment This modules covers all the components of a Distribution line. This ranges from in detailed topics on Poles, Structures, Insulators and Conductors, Aerially Bunched cables, Lightening Arrestor and Horn Gap Fuse. 10 videos1 assignment1 discussion prompt This module gives a overview of how systems like Autoreclosure and Sectionalizers can be implemented across sections of distribution system to reduce downtime by finding the faults at earliest, quickly isolate faulty areas from healthy areas and restore power to the affected customers after fault clearance 5 videos1 assignment1 discussion prompt This module covers a detailed study about recent technologies in distribution lines : Ring Main Unit (RMU), Compact Substation (CSS) and Feeder Remote Terminal Unit (FRTU). 3 videos1 assignment1 discussion prompt Distribution System has be always upgrading to reduce the down time. Thus the need for automation arises and addition of SCADA is a boon to the distribution system. This module covers all the aspects of understanding SCADA in detail from the architecture to the peripherals and the protocols. This module discusses about Fibre Optics in detail. This also covers IED & FRTU in SCADA and Automatic Metering Infrastructure. 14 videos1 reading1 assignment1 discussion prompt

7 modules

Beginner level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/electrical-power-distribution

Calculus through Data & Modeling: Differentiation Rules

2,870

4.8

Joseph W. Cutrone, PhD

Johns Hopkins University

[]

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions. Once these rules are developed, they are then applied to solve problems involving rates of change and the approximation of functions. In previous course, we defined and calculated the derivative as a limit. In this module, we will examine the derivatives of some important functions, including polynomials, exponentials, logarithms, and trigonometric functions. We will also learn differentiation rules which will help us to compute derivatives more efficiently. Finally, we will generalize the idea of a derivative to multivariable functions, and learn how to find derivatives and rates of change on a graph in space. 3 videos1 reading1 assignment The formulas of this section enable us to differentiate new functions formed from old functions by multiplication or division. 2 videos1 reading1 assignment Before starting this module, please review trigonometric functions, in particular their graphs. In this module, we will develop formulas to find derivatives for the common trigonometric functions of sine and cosine. Together with the product and quotient rules, the derivatives for the remaining trigonometric functions are formulated. These new derivative formulas are then added to our catalog to use and apply to solve problems related to rates of change. 2 videos1 reading1 assignment Many functions are created through composition of other functions. In this module, one of the most important of the differentiation rules of this course is developed which will allow us to find derivatives of the compositions of functions. This rule is called the chain rule and has a variety of applications. 1 video1 reading1 assignment In this module, the notion of the derivative is applied to multivariable functions through the notion of partial derivatives. Algebraic rules are developed to find partial derivatives of multivariable functions as well as their geometric interpretations. The development of the tools of calculus to multivariable functions allows for further analysis of more complicated data sets. 1 video2 readings1 assignment In this module, we continue the application of partial derivatives to find rates of changes in any direction by developing the theory of directional derivatives and gradient vectors. These new tools of multivariable calculus can then be applied to problems in economics, physics, biology, and data science. 1 video2 readings1 assignment Apply the theory of this course to model a flight path for a landing aircraft. 1 peer review

7 modules

Intermediate level

7 hours to complete (3 weeks at 2 hours a week)

https://www.coursera.org/learn/calculus-through-data-and-modelling-differentiation-rules

Career Path Essentials

Enrollment number not found

4.7

Doris Menard

IESE Business School

['Flexibility', 'Adaptability']

This course equips participants with essential skills for the modern job market. Dive into crafting compelling CVs, mastering networking, acing interviews, and understanding market trends to propel your career forward. Perfect for ambitious professionals eager to navigate the competitive landscape successfully. By the end of this course, participants will have developed a comprehensive toolkit to effectively position themselves in the job market, mastering the art of creating impactful CVs, leveraging networking opportunities, excelling in interviews, and applying insights on market trends to enhance their career trajectory. In this first week, our main aim is to guide you in creating a standout CV. You'll learn the ins and outs of crafting an impactful resume, from identifying areas to enhance in your current CV to tailoring it to meet reader expectations. We'll also delve into the SAR method, ensuring your accomplishments grab attention. By the end, you'll have a polished, effective CV that stands out in your job search. Let's make your CV work for you! 13 videos4 assignments Get ready to supercharge your career journey! Throughout this second week, will be diving into the power of networking in diverse professional landscapes. Develop key skills such as identifying strategic contacts, crafting compelling initial emails, and mastering the intricacies of informational interviews. Dive into various tools for a rock-solid networking strategy and learn to evaluate success like a pro. The goal? To arm you with real-world insights and skills that will enhance your professional networking performance. 11 videos3 assignments Get set to elevate your job interview game! In this third week, we'll break down the key steps for interview success. Learn to kick things off by setting clear goals and effectively conveying your skills and experience. Discover the art of researching the company and the job to demonstrate genuine interest. Recognize the interview as a dynamic exchange; be prepared for a meaningful conversation, understanding the flow from start to finish, with strategies for each part. Cap it off with tips on wrapping up confidently, leaving an indelible impression as the perfect fit for the job. Keep these insights in mind to approach your interview with confidence and clarity. Let's kick things off! 12 videos2 assignments Envision each interview as your stage, highlighting real-life achievements. Talent alone isn't enough; preparation is key. By the end of this fourth week, you'll not just be interview-ready, but a star performer, ready to land your dream job and accelerate your path to success. Let's turn the spotlight on you and make your job search a blockbuster success story. 8 videos2 assignments

4 modules

Beginner level

34 hours to complete (3 weeks at 11 hours a week)

https://www.coursera.org/learn/career-path-essentials-iese

Cloud Security Basics

16,214

4.4

Rick Smith

University of Minnesota

['Cloud Computing Security', 'Cybersecurity', 'Network Security', 'Network Cryptography', 'Common Vulnerability Scoring System (CVSS)']

This course introduces you to cybersecurity for the cloud. We'll learn and apply classic security techniques to today’s cloud security problems. We start with a deceptively simple and secure web service and address the problems arising as we improve it. We’ll analyze recent cloud security vulnerabilities using standard, systematic techniques. We’ll build our own web service case studies and construct security solutions for them. Our toolkit contains classic security concepts like Least Privilege and Separation of Duty, as well as more technical cryptographic and access control techniques. Here we introduce Internet server security in six steps, covering the first three in detail. 12 videos4 readings5 assignments1 peer review1 discussion prompt We examine techniques to control how different hosts interact within a network. 7 videos3 assignments1 peer review1 discussion prompt Modern systems rarely reside inside a single trust boundary. We use cryptography to protect information when it travels outside our trust boundary. 15 videos1 reading5 assignments1 peer review1 discussion prompt The public cloud provides both operational benefits and security challenges. We use concepts from the earlier modules to address cloud security challenges. 8 videos1 reading2 assignments1 peer review

4 modules

Beginner level

12 hours to complete (3 weeks at 4 hours a week)

https://www.coursera.org/learn/cloud-security-basics

Uncommon Sense Teaching

32,320

4.9

Dr. Barbara Oakley

Deep Teaching Solutions

['Teaching', 'diversity', 'inclusive', 'teaching strategies']

Do your students spend too much (or too little) time learning, with disappointing results? Do they procrastinate in their study because it’s boring and they’re easily distracted? Are you working to make your teaching even more inclusive? Uncommon Sense Teaching will give you practical new insights that will help you solve these goals and challenges, and many more. This is like no other course on teaching—it weaves late-breaking insights from neuroscience with personal insights from the classroom to provide unexpected, yet practical, new approaches. You’ll discover how to bring out the best from all your students in today’s diverse teaching environment, where students often have a wide range of abilities. Uncommon Sense Teaching will take your teaching to a higher level for whatever subjects you teach, whether math, physics, literature, dance, art, or anything else; and whether you are teaching K-12, university, business, vocational, or at home. Join us today to move into the new era of education! This week’s material covers the deepest essence of how we learn—which can provide surprisingly helpful and practical insights for our teaching! When students are learning, ideas captured in students’ working memories are sent to long-term memory in the neocortex. One of our biggest challenges in learning is the diversity in size of learners’ working memory—that temporary holding place for new ideas we are thinking about. (We three instructors model these differences in working memory capacity, with Terry having high capacity, Barb low capacity, and Beth variable, depending on the material.) Some people can hold more information in working memory—these “racecar” learners might learn more quickly, but what they learn can go by in a blur—they can jump to conclusions and find it difficult to correct themselves when they make errors. “Hiker” learners with lesser capacity working memory may learn more slowly, but they can learn more deeply, and sometimes more creatively, as a consequence. They can also find it easier to be flexible and change their thinking when they are wrong. What this all means is that the different sizes of working memory can have their advantages and disadvantages. Scaffolded instruction is a key to being more inclusive, so we can reach all of our learners, not just the few who are easy to teach. We will also take a fresh view of active learning—those words, as you will discover, do not always mean what you think they mean! 11 videos4 readings2 assignments2 discussion prompts1 plugin This week, we'll dive into the brain's two major "superhighways" of learning. The declarative pathway wends its way through the hippocampus and onto the neocortex. This pathway is for new information students are trying to figure out or learn. A tiny, fun, metaphorical choir will help you better understand how the hippocampus (a glib character named Hip!), the neocortex (a capacious singer named Neo), and working memory (the Conductor) all interact to help students learn declaratively. And you'll learn how Beth used this type of learning, along with the underlying, all-important consolidation processes—to help her recover her ability to read the words she can now speak so eloquently. The more mysterious procedural pathway involves information, skills, or activities that we use or do so often that we don't want to have to waste cognitive resources in having to think about them. Think that drill means kill? Think again—we teachers ignore the value of the procedural pathway at our peril. As we'll discover, smartly done drill leads to skill! We'll also cover important issues related to lack of focus, including task switching, dual tasking, and continuous partial attention. But unrelenting focus isn't always the answer—as we'll see, there are tricks to help students get around the cognitive fixation that can cause them so many problems on tests. Finally, we'll show how using a neural approach to understanding the effects of your teaching can also help you to understand the value of seemingly unrelated ideas and approaches like physical exercise, and of metaphor, when it learning. It's going to be a fun, action-packed week! 9 videos2 readings2 assignments1 peer review1 discussion prompt This week, we dive into one of students' most common issues with their studies—procrastination. A common tool for business, the Pomodoro Technique, turns out to be also useful to help students of all ages focus their meditation. This is because the Pomodoro Technique makes masterful use of the brain's focusing and relaxing modes of thinking. Judicious focusing and relaxing of one's thoughts is also a great way to figure out difficult or frustrating concepts or problems. But when it comes to studying, it's important not only to focus and relax, but also to step back and look at the big picture of where the studies are headed. Is the common career advice for students to "follow your passion" always the best advice? And there are other bigger picture issues related to learning to help ensure our students approach their studies, projects, and tests with the best possible attitude and preparation 10 videos2 readings2 assignments Do children learn differently than adults? Yes they do, and this week's insights show us how our brains change as we mature. These changes mean that certain approaches that work great for our youngest students aren't necessarily appropriate for middle and high school students. Looking at learning from an evolutionary perspective helps us to understand why some types of learning are natural and easy, while other forms can be far more difficult. What are some of the best ways to tackle teaching the more-difficult-to-learn material? That's what this culminating week of our first MOOC in the Uncommon Sense Teaching Specialization is all about! 7 videos3 readings2 assignments1 peer review

4 modules

Beginner level

https://www.coursera.org/learn/uncommon-sense-teaching

98%

Advanced MySQL Topics

17,824

4.6

Taught by Meta Staff

Meta

['Database (DB) Design', 'Database (DBMS)', 'MySQL']

In this course, you'll begin to push beyond simple SQL statements in MySQL to an advanced level in database engineering. By the end of this course, you'll be able to: - Use control statements and variables in different contexts in MySQL - Develop user defined functions and procedures - Optimize MySQL database queries - Demonstrate a working knowledge of common table expressions and the JSON data type - Understand how and when to use triggers and events - Utilize subqueries, JOINS, views and transactions to perform data analysis - and use database optimization techniques such as MySQL transactions You'll gain experience with the following advanced MySQL database skills: - MySQL user defined functions - Advanced MySQL stored procedures - MySQL optimization techniques including Indexes, Transactions, CTE and JSON - MySQL triggers and events - Database analytics in MySQL - Advanced SQL queries for data analysis with JOINS, views and subqueries Through this course you'll develop new skills, improve your productivity, learn to act effectively with data and boost your career prospects. To be successful in this course, you should have already completed the previous course, “Database Structures and Management with MySQL,” or have prior experience with the skills taught in that course. Learn how to develop user defined functions and more complex stored procedures in MySQL. You'll also practice invoking a stored program (procedure or function) automatically in response to an event such as insert, update, or delete that occurs in the associated table. 10 videos9 readings5 assignments1 discussion prompt2 ungraded labs Learn the core rules and guidelines for database optimization, and practice advanced database administration tasks that will optimize your database. 9 videos7 readings5 assignments2 ungraded labs Learn how to use MySQL with advanced data analytics tools and discover how to perform data analysis using advanced MySQL queries. 6 videos4 readings4 assignments1 ungraded lab Practice your SQL automation by writing a stored procedure to solve real world problems 2 videos3 readings2 assignments2 discussion prompts1 ungraded lab

4 modules

Intermediate level

https://www.coursera.org/learn/advanced-mysql-topics

94%

Industrial Optimization: Models & Linear Programming

Enrollment number not found

Rating not found

Himlona Palikhe

Northeastern University

[]

Introduces the theory, computation, and application of deterministic models to represent industrial operations. Includes linear programming formulation and solution using spreadsheet and algebraic languages software; simplex, big-M, revised simplex, and dual simplex algorithms for solving linear programs; introduction to the theory of simplex. In this module, we will introduce OR including its brief history, methodologies that comprise the OR discipline etc. In addition, we will show its relationship to other disciplines, such as applied mathematics, computer science, industrial engineering, systems engineering, and economics. Then, we will introduce LP and its applications. Finally, we will illustrate an example of LP formulation and graphical solution. 6 videos12 readings5 assignments1 discussion prompt In this module, we will introduce a commercial LP software package, LINGO. A very small problem (Wyndor Glass Co. prototype example) was introduced in Module 1 to illustrate the LP model, a problem small enough to solve graphically. We will now generalize the LP model for any application or problem size. 3 videos6 readings4 assignments1 discussion prompt George Dantzig’s development of the simplex method made it possible to systematically solve incredibly complex problems. ​Simplex method, combined with powerful computer applications that perform the calculations contained in the simplex method, have made the use of Linear Programming applicable in many different fields. The correct use of the simplex method gives you the ability to construct and answer complex questions consisting of hundreds or thousands of dimensions, and makes you an invaluable member of a project team.​ In this module, we will introduce the simplex method for solving LP problems. 2 videos3 readings3 assignments Earlier, we demonstrated the simplex method on a LP that is in a standard form, i.e., the problem is maximization, all functional constraints are "≤" inequalities, and all variables are non-negative. However, it is very rare that a real-world problem is in a standard form. How, then, do we solve problems which are in non-standard forms? Instead of developing many variations of the simplex method, where its steps depend on each particular type of non- standard form, we transform the problem to the standard form and use the same simplex algorithm without any change in its rules. 2 videos4 readings4 assignments

4 modules

Intermediate level

11 hours to complete (3 weeks at 3 hours a week)

https://www.coursera.org/learn/industrial-optimization-models--linear-programming

Capstone MOOC for "Android App Development"

12,067

4.3

Dr. Douglas C. Schmidt

Vanderbilt University

[]

The Capstone project integrates material from throughout the Android App Development Specialization to exercise and assess the ability of learners to create an interesting Android app. Learners will apply knowledge and skills learned in previous MOOCs in this Specialization, including Java programming features; Android activity, broadcast receiver, service, and content provider (plus SQLite) components; and unit, integration, and user interface testing. The project itself is similar in scope to previous assignments in the earlier MOOCs in the Specialization. However, it is intentionally designed to enable learners to create a customized app that demonstrates their creativity and mastery of the Specialization topics. This module provides an introduction to the contents of the MOOC and summarizes effective learning strategies. In particular, it explains the specification and evaluation rubrics for the Android app that will be implemented by learners in the Capstone 2 videos1 reading1 peer review 1 video1 peer review 1 video1 peer review 1 video1 peer review

4 modules

4 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/aadcapstone

Drug Discovery

133,138

4.6

Williams S. Ettouati, Pharm.D.

University of California San Diego

['Pharmacology', 'Drug Development', 'Clinical Development', 'Pharmacokinetics']

The University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences Drug Discovery course brings you lectures from both faculty and industry experts. With this course, recorded on campus at UCSD, we seek to share our access to top people in the field who bring an unprecedented range of expertise on drug discovery. In this course you will learn the drug discovery process up to the filing of an Initial New Drug Application or IND. Each week you will learn the steps that a pharmaceutical or biotech company goes through to discover a new therapeutic drug. In this course you will be able to: * Understand the pharmaceutical and biotechnology market a changing landscape * Learn the major aspects of the drug discovery process, starting with target selection, to compound screening to designing lead candidates. * Recognize current modern drug discovery based on the lock-and-key theory, which attempts to use one single compound to hit one target to combat the related disease. * Increase understanding of the various drug discovery tools and methods that are used for finding, identifying and designing a new drug. * Define and understand the regulatory responsibilities for drug discovery to file an Investigational New Drug Application (IND). This course is intended as part 1 of a series: Drug Discovery, Drug Development (https://www.coursera.org/learn/drug-development) and Drug Commercialization (https://www.coursera.org/learn/drug-commercialization). We would highly recommend that you take the courses in order since it will give you a better understanding on how a drug is discovered in the lab before being tested in clinical trials and then launched in the market place. 1 video1 discussion prompt In this module course lead Dr. Williams Ettouati begins by giving a landscape overview of the Pharma and Biotechnology landscape. 7 videos3 readings1 assignment2 discussion prompts This week we will be hearing from Phillip Bourne, PhD. Dr. Bourne was, at the time of this recording, the Associate Vice Chancellor for Innovation and Industrial Alliances in the UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences. Since that time, he has been named the first Associate Director for Data Science at the United States National Institutes of Health. 5 videos1 reading1 assignment1 discussion prompt This week we will hear from Ronald Christopher, Ph.D. Dr. Ronald Christopher, Vice President of Preclinical Trials at Arena Pharmaceuticals. 6 videos1 reading1 assignment2 discussion prompts In this module we will hear from Stephen Burley, M.D., Ph.D. At the time of this recording, Director of the Center for Integrative Proteomics at Rutgers University. He is now the Director of the Protein Data Bank and remains an Adjunct Professor at the UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences. 5 videos2 readings1 assignment2 discussion prompts This module we hear from Professor of Clinical Pharmacy and Pediatrics, Brookie Best, Pharm. D., of UCSD's Skaggs School of Pharmacy and Pharmaceutical Sciences. 5 videos1 reading1 assignment1 discussion prompt

6 modules

Beginner level

https://www.coursera.org/learn/drug-discovery

97%

Fundamentals of Fluid Power

53,411

4.8

James D. Van De Ven, PhD

University of Minnesota

['Energy', 'Hybrid Vehicle Manufacturing', 'Hydraulics', 'Mechanical Engineering']

Fluid power has the highest power density of all conventional power-transmission technologies. Learn the benefits and limitations of fluid power, how to analyze fluid power components and circuits, and how to design and simulate fluid power circuits for applications. In this course, you will be introduced to the fundamental principles and analytical modeling of fluid power components, circuits, and systems. You will learn the benefits and limitations of fluid power compared with other power transmission technologies; the operation, use, and symbols of common hydraulic components; how to formulate and analyze models of hydraulic components and circuits; and how to design and predict the performance of fluid power circuits. This course is supported by the National Science Foundation Engineering Research Center for Compact and Efficient Fluid Power, and is endorsed by the National Fluid Power Association, the leading industry trade group in fluid power. This week: An overview of the course, introduction to hydraulics and pneumatics, and introduction to fundamental concepts of fluid power through the cylinder. 9 videos10 readings1 assignment3 discussion prompts This week: circuit diagrams, the written language of fluid power, and how fluid flows through conduits. We hope that you find the hydraulic circuits on the mowing machine as interesting as we did. 5 videos7 readings1 assignment4 discussion prompts This will be a busy week diving into valves and pumps. We will discuss how basic valves function, how to use them in hydraulic circuits, and how to calculate pressure drop for a given flow rate, or vice versa. The videos will directly address the discussion on the forum about seeing hydraulic components working in real world circuits. In our discussion of pumps we will look at many different positive displacement pumps, exploring flow ripple and pump efficiency, look at the supporting components that form a hydraulic power supply, and see how we can make a transmission with a hydraulic pump and a motor. We are now into the heart of this course; we hope you enjoy seeing the components come together into useful circuits. 9 videos10 readings1 assignment3 discussion prompts This week is entirely devoted to you learning how to use Simscape Fluids (formerly SimHydraulics), the fluid power simulation application that we use in the course. The lecture provides an introduction to computer-based, object-oriented simulation, and goes through a demo of using Simscape Fluids. The homework assignment contains the real work because this is where you will learn to use Simscape Fluids. The homework ends with an open-ended problem that encourages you to branch out on your own and create and run simulations based on examples listed in the course Simscape Fluids resource page or on any other fluid power system that interests you. We will be monitoring the discussion boards to help you with any technical problems with Simscape Fluids. *NOTE: The lecture videos were created using an earlier version of SimHydraulics; some small difference exist with the most recent version of Simscape Fluids, but the general approach is the same. *THERE IS NO QUIZ THIS WEEK as we recognize that a few of you may not be able to get Simscape Fluids running on your computer. Happy simulating! 1 video6 readings2 discussion prompts This week we will take a dive into hydraulic fluids (no pun intended) and how their properties and behavior influence the circuit operation. In the lectures, you will see the water hammer effect and explore the assumption of fluid incompressibility. We encourage you to use your new knowledge of fluid behavior and simulation to create virtual experiments that explore how fluid properties influence the behavior of a circuit. Share your observations on the discussion forum. 3 videos4 readings1 assignment3 discussion prompts This week you will learn about two new components, the accumulator, which stores hydraulic energy, and the servo valve, which provides fast and precise flow control. We will then be pulling together topics from throughout the course to look at servo hydraulic systems and hydraulic hybrid vehicles. You will get a chance to use simulation to explore how these advanced systems function and how the behavior of individual components influences the system operation. 8 videos11 readings1 assignment3 discussion prompts

6 modules

19 hours to complete (3 weeks at 6 hours a week)

https://www.coursera.org/learn/fluid-power

98%

Generative AI Assistants Specialization

3,679

4.9

Dr. Jules White

Vanderbilt University

['Problem Formulation for Generative AI', 'Prompt Engineering', 'Generative AI', 'ChatGPT', 'chain of thought prompting', 'prompt patterns', 'Large Language Models', 'Problem Formulation for Generative AI', 'Prompt Engineering', 'Generative AI', 'ChatGPT', 'chain of thought prompting', 'prompt patterns', 'Large Language Models']

Step into the frontier of digital assistance with the "Generative AI Assistants" specialization, your guide to crafting bespoke AI partners for any sector or specialized need. This course unveils the complexities of tailoring GPT-style language models that intuitively align with your world—be it legal, logistical, or scientific. You'll learn how to train your custom AI to parse through documents, engage in natural dialogue, and even mimic designated communicative tones—all while rigorously testing to assure precision and reliability. Applied Learning Project Get hands-on with practical case studies, constructing a GPT that morphs into a personalized educational ally, a culinary companion who helps whip up meal plans tailored to your taste, or even a travel and expense coordinator finely tuned to streamline corporate logistics. Whether you're an innovator or an educator, this course empowers you to harness the bespoke capabilities of generative AI, crafting assistants that don't just respond, but anticipate and elevate your specific requirements. How to apply prompt engineering to effectively work with large language models, like ChatGPT How to use prompt patterns to tap into powerful capabilities within large language models How to create complex prompt-based applications for your life, business, or education In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges. This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless! Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities. Prepare to be amazed as you explore real-world examples and case studies, such as: 1. GPT for Personalized Learning and Education: Craft a virtual tutor that adapts its teaching approach based on each student's learning style, providing personalized lesson plans, interactive exercises, and real-time feedback, transforming the educational landscape. 2. Culinary GPT: Your Personal Recipe Vault and Meal Planning Maestro. Step into a world where your culinary creations come to life with the help of an AI assistant that knows your recipes like the back of its hand. The Culinary GPT is a custom-built language model designed to revolutionize your kitchen experience, serving as a personal recipe vault and meal planning and shopping maestro. 3. GPT for Travel and Business Expense Management: A GPT that can assist with all aspects of travel planning and business expense management. It could help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, it could streamline expense reporting and reimbursement processes, ensuring compliance and accuracy. 4. GPT for Marketing and Advertising Campaign Management: Leverage the power of custom GPTs to analyze consumer data, market trends, and campaign performance, generating targeted marketing strategies, personalized messaging, and optimizing ad placement for maximum engagement and return on investment. Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs. Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations. What problems actually make sense to solve with Generative AI How to frame problems and prompt engineer to produce more trustworthy results from Generative AI

3 course series

Beginner level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/generative-ai-assistants

C Programming for Everybody Specialization

4,744

4.8

Charles Russell Severance

University of Michigan

['Computer Architecture', 'Object Oriented Programming Language']

Learning the foundational elements of C can help anyone interested in programming increase their proficiency in languages like C++, Java, JavaScript, and Python. InC Programming for Everybody, you’ll learn the history of C and C syntax as you build foundational programming knowledge with C. Apply your knowledge to several exercises throughout each course as you move into more advanced concepts. This specialization allows you to go at your own pace, giving you control over how to approach more complex exercises. Regardless of the programming language you’re familiar with,C Programming for Everybodyis perfect for both programming novices and seasoned programmers looking to get a refresher on the C programming basics. Applied Learning Project This specialization includes several increasingly challenging programming exercises ranging from a few minutes of effort to several hours of development. Learners will encounter how to implement the patterns of Python objects in C, identify and fix errors within code, and implement a list of data structures based on a predetermined code structure in C to determine how it functions in Python. As learners encounter more complex concepts, we adjust the pace to ensure students understand the material before moving on, building upon previous lessons as we go. Learn the basics of C syntax Identify the similarities and differences between C and Python  Understand the impact of C on modern programming Understand C variables and types Understand control flow in C Learn to write recursive functions Create data structures in C  Understand the difference in structures between C and Python Learn the potential security holes associated with C Create data structures in C  Understand the difference in structure between C and Python Learn the potential security holes associated with C

4 course series

Intermediate level

1 month (at 10 hours a week)

https://www.coursera.org/specializations/c-programming-for-everybody

Arctic Peoples and Cultures

2,149

4.3

Eric Kama Steinberg

University of Alberta

['Living in the Arctic', 'Building in the Arctic', 'Insight into people living in the Arctic', 'Understanding Arctic life', 'Awareness Arctic environmets']

Welcome to this online course – Peoples and cultures in the Arctic. In this, the 4th instalment of The Arctic MOOCs we want to bring you closer to peoples and cultures living in the circumpolar Arctic. Therefore, this is more like a documentary than a classical course. Our hope is that by getting to know people living in the Arctic you gain a better insight and understanding of what the Arctic means to thousands of individuals, but also that you, by acquiring more knowledge can become a valuable advocate for environmental and other issues facing the future of the Arctic. This is a collaboration between UArctic, University of Alberta, and UiT Arctic University of Norway. </p>In this, the 4th instalment of The Arctic MOOCs, we want to bring you closer to peoples and cultures in the Arctic. Therefore, this is more like a documentary than a classical course. Our hope is that by getting to know people living in the Arctic you gain a better insight and understanding of what the Arctic means to thousands of individuals, but also, that you by acquiring more knowledge, become a valuable advocate for environmental and other issues facing the future of the Arctic.</p> <p>The MOOC has 8 modules spanning 22 video chapters. Each module ends with a small quiz, and at the end of the course you will find a set of open-ended questions. As you watch the videos you will be prompted (the video stops) and given an opportunity to follow some links that point to external websites, scientific papers and organisations relevant to the content you are watching. You choose if you want to continue or explore more. All links and resources used/mentioned are available for you to explore at a later stage.</p><p>We hope you learn something new, and that you enjoy the experience.</p>&nbsp;<p style="font-weight:bold">TIP: Use the "Explore more…" opportunities added to all the videos. They will certainly add to the learning experience</p><p>PS: All videos have english subtitles. Turn on closed captions in video player to see.</p> 3 readings <p>We are going to start this course by introducing you to the people, the cultures and how it is to live in the arctic, but also to introduce you to some of the darker periods where official policies led to, motivated by a clear political agenda, things like the assimilation processes of indigenous peoples. We are also going to get an historic view on how these arctic cultures emerged into what we see today – both from a global perspective, and more specifically how the Norwegian and Russian indigenous politics treated the arctic peoples. Finally, a talk about how indigenous peoples managed to organize their struggle through e.g., the United Nations.</p><p>Module 1 contains 4 (1–4) chapters and has a small quiz at the end, but don't worry. It is our goal that you get to know the areas and the peoples of the Arctic – not that your quiz score is high.</p> 4 videos1 assignment In addition to indigenous peoples many non-indigenous people have adapted their lives to live in the Arctic. And these are just as much native arctic citizens as those belonging to the indigenous communities. We are going to meet some of them in this module. Some of them have ancestorial links that go back hundreds, if not thousands of years and some have just started their lives as new arctic families. The Arctic is much more influenced by newcomers and more multicultural than one would think. Module 2 contains 3 chapters (5–7) and has a small quiz at the end. 3 videos1 assignment The first day of sunlight after the polar night. How does not seeing the sun for two months effect you as a person? Does it change you in any way? What kind of problems could you face during this period? In module 3 we are going to hear about research on these topics, and we will meet people talking about their experience during the long polar night – both good and bad. 1 video1 assignment <p>Another challenge some people in the Arctic encounter is the unstable ground caused by the active layer in the permafrost. The seasonal freezing and thawing of this surface layer presents unique challenges even for constructions that were designed specifically for functioning in the Arctic.</p><p>The seed vault on Svalbard and buildings belonging to UNIS (Research station) are some of the constructions where one has had to take special measures in order to exist in an extreme arctic environment.</p><p>Module 4 contains 2 chapters (9–10) and has a small quiz at the end.</p> 2 videos1 assignment <p>The temperatures in the Arctic continue to rise at three times the global annual average, driving many of the changes underway in the Arctic. Most prominently, snow and ice are melting at an increasing rate. This impacts both local ecosystems and the global climate system. Polar bears have had to adopt to decreasing sea ice, fisheries face more unstable weather, and those living on the tundra are witnessing changes in their access to areas where snow conditions are worsening.</p><p>Module 5 contains 2 chapters (11–12) and has a small quiz at the end, but do not worry. It is our goal that you get to know the areas and the peoples of the Arctic – not that your quiz score is high.</p> 2 videos1 assignment <p>The Arctic has a thriving industrial community with an abundance of natural resources like oil and gas and fisheries. This has led to a varied and mixed economy that has evolved alongside the traditional livelihoods of the different cultural groups of the north. One of the most important being fisheries where stockfish e.g., has been a major export commodity for more than a thousand years. These days we are also seeing a move away from the fossil fuel industry – towards more renewable resources like water and wind energy, but also a growing tourist industry where more and more people want to experience a personal connection to the arctic nature. But we are also facing challenges in fisheries where frozen fish as a commodity is growing, and that has an impact on the local communities.</p><p>Module 6 contains 5 chapters (13–17) and has a small quiz at the end, but do not worry. It is our goal that you get to know the areas and the peoples of the Arctic – not that your quiz score is high.</p><p><strong><em>Trigger Warning/Content Warning:</strong> Video in chapter 13 contains footage of fish being caught and gutted.</em></p> 5 videos1 assignment <p>The question we ask in this module is to what extent humans have had an impact on the Arctic region? We have changed the landscape through the construction of residences and other structures, as well as through the development of energy from rivers and mines, building roads and even with increased tourism – all leaving a significant footprint. How are we meeting the future? How do we make sure that we protect the Arctic as much as possible? The local government on Svalbard brings us some valuable insight on the situation.</p><p>Module 7 contains 2 chapters (18–19) and has a small quiz at the end, but do not worry. It is our goal that you get to know the areas and the peoples of the Arctic – not that your quiz score is high.</p> 2 videos1 assignment <p>Let’s turn to politics and listen to some of those who work towards protecting the Arctic. Telling us what we can do to ensure that we don’t impact it more than necessary? Also, whose responsibility is it to protect the arctic environment? Politicians and governments, the scientific communities, industry or indigenous people or other native peoples?</p><p>Module (8) contains the three final chapters (20–22) in this Mooc, and has a small quiz at the end, but do not worry. It is our goal that you get to know the areas and the peoples of the Arctic – not that your quiz score is high.</p><p>The open-ended questions in the end of the course do not haven one single correct answer, but on request you will be shown a suggested possible answer. We hope that the entire course will give you some valuable insights into the people who live in the Arctic, and how living there has had an impact on the region.</p><p style="font-weight:bold">Thank you for watching.</p> 3 videos1 assignment <p>You are now all set to take the final quiz. We have put together 34 reflective questions that will challenge what you, hopefully, have learned by going through this course. We hope you have enjoyed it, and remember – by trying to answer the questions in this quiz you are reenforcing your learning outcomes.</p><p>After submitting your text, we offer you a possible solution in order for you to evaluate your own answer.</p> 1 assignment

10 modules

Beginner level

5 hours to complete (3 weeks at 1 hour a week)

https://www.coursera.org/learn/arctic-peoples-and-cultures

Databases for Data Scientists Specialization

16,408

4.6

Di Wu

University of Colorado Boulder

['Database (DB) Design', 'Data Warehousing', 'database administration', 'SQL', 'NoSQL']

Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you! We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development. In this specialization you will learn about database design, database software fundamentals, and how to use the Structured Query Language (SQL) to work with databases. The specialization, will conclude with an overview of future trends in databases, including non-relational databases (NoSQL) and Big Data. Upon completion of this specialization you will be well prepared to design and create efficient and effective relational databases, fill them with data, and work with them using SQL. Applied Learning Project InRelational Database DesignandThe Structured Query Language (SQL), you will perform coding exercises, reflect on what you learned, and describe the challenges you experienced. Then, inAdvanced Topics and Future Trends in Database Technologies, you will map out a plan for a big data project and investigate the benefits and drawbacks of non-relational databases. Create Entity Relationship Models and Entity Relationship Diagrams Create Relational Models Normalize a Relational Model to 3NF The origins and historical basis for SQL Standard SQL use and syntax How to code SQL queries in order to analyze data stored in relational databases In-depth and advanced areas of database technologies The future of database software and where the industry is heading Understand and differentiate four leading NoSQL implementations: MongoDB, Cassandra, Redis, Neo4j.

3 course series

Beginner level

2 months (at 10 hours a week)

https://www.coursera.org/specializations/databases-for-data-scientists