#Best React Native Course in Chennai

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Selenium vs. Cypress: Choosing the Right Tool for Your Web Testing

Selenium vs. Cypress: 

Choosing the Right Tool for Your Web Testing Automated testing is a crucial part of modern web development, ensuring that applications function correctly across different environments. Selenium and Cypress are two of the most popular tools for web testing, but they have distinct differences that make them suitable for different use cases. 

Introduction to Selenium and Cypress Selenium

 ✅ What is it? Selenium is an open-source testing framework that allows automation of web applications across multiple browsers. It supports various programming languages such as Java, Python, JavaScript, and C#.

 ✅ Key Features: 

Supports multiple browsers (Chrome, Firefox, Edge, Safari, etc.) Allows testing across different operating systems Integrates with various testing frameworks (JUnit, TestNG, etc.) Supports parallel execution and remote testing with Selenium Grid 

✅ Best For: Cross-browser testing Large-scale enterprise applications Teams working with multiple programming languages Cypress

 ✅ What is it? Cypress is a modern, JavaScript-based testing framework built for end-to-end testing of web applications. 

Unlike Selenium, it runs directly in the browser, providing fast execution and real-time debugging. 

✅ Key Features: 

Fast execution with automatic waiting Built-in debugging and time-travel feature Works only with JavaScript and Node.js Supports headless execution Provides native support for modern JavaScript frameworks like React, Angular, and Vue

 ✅ Best For: Single-page applications (SPAs) JavaScript-heavy applications Developers looking for an easy-to-setup tool with real-time debugging 

3. When to Choose Selenium? 

🔹 You need cross-browser testing: Selenium supports multiple browsers, including Safari and Edge, making it a better choice for testing across different environments. 

🔹 You work with multiple programming languages: Selenium allows test scripts in Java, Python, C#, and more, making it flexible for teams with diverse expertise. 

🔹 You are testing legacy applications: If your web application uses older technologies, Selenium provides better support compared to Cypress. 

🔹 You require mobile automation: Selenium works with Appium for mobile application testing, whereas Cypress is strictly for web applications. 

🔹 You need cloud-based execution: Selenium integrates with cloud testing platforms like BrowserStack and Sauce Labs for remote execution. 

4. When to Choose Cypress? 

🔹 You need fast execution and real-time debugging: 

Cypress runs inside the browser, making it significantly faster and easier to debug with its time-travel feature. 

🔹 You are testing modern web applications: Cypress is optimized for single-page applications (SPAs) and JavaScript frameworks like React, Angular, and Vue. 

🔹 You prefer an easy setup and better developer experience: Cypress has built-in commands and automatic waiting, reducing flaky tests and making test writing simpler. 

🔹 You are working in a JavaScript/Node.js environment:

 If your team primarily uses JavaScript, Cypress is the best choice due to its native support. 

🔹 You want an all-in-one testing solution: 

Cypress provides built-in features like mocking, assertions, and network request handling without needing additional libraries.

Conclusion: 

Which One Should You Choose? Use Selenium if you need cross-browser testing, language flexibility, mobile automation, and large-scale enterprise testing. Use Cypress if you need faster execution, modern web app testing, real-time debugging, and an easy setup. 

Final Thought: 

If your application relies on JavaScript-heavy front-end frameworks, Cypress is the better option. However, if cross-browser compatibility and large-scale testing are your priorities, Selenium is the more versatile choice.

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Which language is the future of web development?

The future of web development likely won't be dominated by a single language but rather a combination of several technologies, each excelling in different areas. However, some languages and frameworks are poised to be particularly influential:

JavaScript (and TypeScript):

JavaScript continues to be the cornerstone of web development, especially for front-end development. It's the only language that runs natively in the browser.

TypeScript, a superset of JavaScript, is gaining popularity for its strong typing and other features that enhance JavaScript's scalability and maintainability.

Python:

Python's simplicity and readability make it a popular choice for backend development. Frameworks like Django and Flask are widely used for building web applications.

Rust:

Rust is emerging as a powerful language for web development due to its performance and safety. Projects like WebAssembly (Wasm) and frameworks like Rocket are increasing Rust's relevance in the web development space.

Go:

Go (or Golang) is known for its efficiency and performance, particularly in handling concurrent tasks. It's used by companies like Google for building scalable web services.

Java:

Java remains a strong player for enterprise-level backend development. Frameworks like Spring continue to be widely used.

Kotlin:

Kotlin is gaining traction as an alternative to Java, especially for Android development, and it's starting to be used more for backend development as well.

PHP:

Despite being one of the older languages, PHP is still heavily used, particularly with content management systems like WordPress and frameworks like Laravel.

Ruby:

Ruby, with its framework Ruby on Rails, remains a strong choice for rapid application development and startups.

Trends and Technologies:

WebAssembly (Wasm): This binary instruction format allows code written in different languages (like Rust, C++, and Go) to run on the web at near-native speed.

Single Page Applications (SPAs): Frameworks like React, Angular, and Vue.js are leading the way in creating more dynamic and responsive user experiences.

Static Site Generators: Tools like Gatsby (React-based) and Next.js (also React-based) are simplifying the process of building static websites with dynamic content.

 Serverless Architecture: Services like AWS Lambda, Google Cloud Functions, and Azure Functions are making it easier to build and deploy scalable web applications without managing server infrastructure.

The future of web development will likely be shaped by how these languages and technologies evolve and how well they integrate with each other to meet the demands of developers and users.

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Is it good to learn JavaScript?

Yes, learning JavaScript can be highly beneficial for several reasons:

Versatility: JavaScript is a versatile programming language that can be used for both front-end and back-end development. It is an essential part of web development and is widely supported by browsers, making it a crucial language for creating interactive and dynamic websites.

Popularity: JavaScript is one of the most popular programming languages in the world. Many large tech companies use it, and it has a vast and active community of developers. Learning a popular language can open up more opportunities for collaboration, resources, and support.

Full Stack Development: If you aspire to become a full-stack developer, knowing JavaScript is essential. With the advent of technologies like Node.js, JavaScript can now be used on the server-side as well, enabling you to work on both the front end and back end of web applications.

Job Opportunities: There is a high demand for JavaScript developers in the job market. Many companies look for developers who are proficient in JavaScript, especially for roles related to web development.

Ecosystem and Frameworks: JavaScript has a rich ecosystem of libraries and frameworks that can significantly speed up development. Popular front-end frameworks like React, Angular, and Vue.js are all based on JavaScript. On the back end, Node.js is a popular choice for server-side development.

Cross-platform Development: JavaScript can also be used for mobile app development. With frameworks like React Native and frameworks like Apache Cordova, developers can build cross-platform mobile applications using their existing JavaScript skills.

Community Support: JavaScript has a large and active community of developers. This means there are abundant resources, tutorials, and forums available for learning and problem-solving. This community support can be invaluable when you are learning and working with the language.

In summary, learning JavaScript can be a valuable investment in your programming skills, providing you with the ability to create dynamic and interactive web applications and opening up various opportunities in the job market.

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Why is ReactJS development useful for businesses?

ReactJS development is beneficial for businesses for several reasons, contributing to enhanced efficiency, user experience, and overall success. Here are some key advantages:

Efficient Development: ReactJS, developed and maintained by Facebook, provides a component-based architecture that promotes reusability of code. This modularity allows developers to build and maintain large applications more efficiently.

Virtual DOM for Performance: React uses a virtual DOM, which is an in-memory representation of the actual DOM elements. This enables React to update only the parts of the DOM that have changed, resulting in faster rendering and improved performance.

Reusability and Component-Based Architecture: React encourages the creation of reusable UI components. This modular approach simplifies development, as components can be easily reused across different parts of an application, reducing redundancy and promoting consistency.

SEO-Friendly: React can be rendered on the server side, making it more SEO-friendly compared to purely client-side rendering frameworks. Search engines can crawl and index content effectively, contributing to better search engine rankings.

Community and Ecosystem: React has a large and active community, which means there are a plethora of libraries, tools, and resources available for developers. This makes it easier to find solutions to problems, share best practices, and stay updated on the latest developments in the React ecosystem.

Stability and Backward Compatibility: React maintains a strong commitment to backward compatibility, ensuring that existing applications can be easily upgraded to newer versions. This stability is crucial for businesses to avoid disruptions and maintain the longevity of their applications.

Mobile App Development: React Native, a mobile development framework based on React, allows businesses to use the same codebase for both web and mobile applications. This can significantly reduce development time and costs, providing a more seamless experience across different platforms.

Developer Productivity: The development experience with React is known for its simplicity and ease of use. React's declarative syntax makes it easier to understand and debug code, and tools like React DevTools enhance the developer's ability to inspect and profile React applications.

Large Ecosystem of Libraries and Tools: React has a rich ecosystem of libraries and tools, including state management solutions like Redux and MobX, routing libraries, and testing utilities. This allows developers to choose the best tools for their specific needs, fostering productivity and code quality.

Cross-Platform Compatibility: React supports cross-browser compatibility, ensuring that applications work seamlessly across different web browsers. This is crucial for businesses aiming to reach a diverse audience.

In summary, ReactJS offers businesses a powerful and efficient toolset for building modern, scalable, and high-performance web applications, contributing to faster development cycles, improved user experiences, and long-term maintainability.

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BEST REACT NATIVE TRAINING INSTITUTE IN CHENNAI

WHY LEARN REACT NATIVE?

Facebook open-sourced their React JavaScript library, providing web developers everywhere with a powerful and efficient tool to create component-based interactive User Interfaces (UIs). React provided powerful features like stateful components, virtual DOM, one-way data binding with properties (props), lifecycle methods and JavaScript XML (JSX). React quickly became the choice for developers to build faster, smoother UIs for data-driven web applications.

In 2015, Facebook extended React to building native mobile applications on iOS and Android platforms. React Native has created a lot of excitement in the market because of its cross-platform nature. Developers can reuse the code between Android, iOS and web projects with minimal effort. The growing interest in React Native has created a need for skilled developers as a lot of development companies are switching to this technology. React Native is used by many Fortune 500 companies like Facebook, Instagram, Bloomberg, Pinterest, Skype, Tesla, Uber, Walmart, Wix.com, and others. React Native’s GitHub repository statistics reveal that nearly 2,000 contributors have committed 16,000 times in 72 branches with over 300 releases. According to Google Trends, React Native has become a trending topic in addition to being a popular framework.

Benefits of learning React Native Course

Cross-platform app development is becoming popular as the level of competition is intensifying. React Native is the most preferred cross-platform solution for the creation of  both Android and iOS apps. It offers multiple benefits to individuals and organizations.📷 Individual Benefits

Learning React Native helps developers:• Create innovative and competitive apps using cross-platform compatibility• Be a  part of the thriving React Native community.• Earn an average of $120,000 per year according to neuvoo.com• Grow beyond React Native to learn more advanced tools• Top companies like Netflix, Instagram, Facebook, and Walmart rely on React Native and hire a larger number of  React Native developers.

Organizational Benefits

React Native training has certain organizational benefits:• Simpler, quicker and more efficient cross-platform development with code reuse• Cost-effective development, testing, and deployment• Faster development by reusing components and saving time• With React Native, organizations will be able to build apps for all the platforms along with native mobile apps.React Native Framework is a preferred choice of many development companies that have a mobile-first approach for creating exciting apps that we use on a daily basis. A React native developer finds agility and ease while developing React Native apps. It also offers the advantage of a large community base, hot reloading, and stable apps.

WHAT YOU’LL LEARN IN REACT NATIVE TRAINING COURSE

1. IntroductionEquip yourself with the basics and core concepts that are essential to develop with React Native.2. Styles and LayoutsLearn to apply styles in React Native while learning to develop different kinds of layouts in it.3. React Native ComponentsLearn about the various components of React Native as well as their areas of application.4. React Native APILearn to use React Native API to access hardware related features and platform specific features.5. NavigationLearn about the methods of setting up and configuring the React Native navigation library.6. Remote CommunicationLearn about consuming remote API in React Native application by using fetch API and axios.7. Releasing BuildsLearn to build and integrate React Native applications in Android and iOS operating systems.

PREREQUISITES

There are no mandatory prerequisites that you need to fulfill in order to take up the React Native course. However, possessing the following knowledge prior to taking up this course can be beneficial for you:• Intermediate JavaScript knowledge• Native mobile development experience.

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The most effective method to Tell if React is the Best Fit for Your Next Project

These days, clients anticipate smooth, React native application development services that carry on increasingly more like local applications. Methods have been conceived to diminish the trusting that a site will stack on a client's first visit. In any case, in web applications that uncover a ton of intuitiveness, the time slipping by between a client move making place and the application's reaction is additionally significant. Local applications feel smart, and web applications are relied upon to carry on the equivalent, even on not exactly perfect web associations.

Various present-day JavaScript systems have jumped up that can be powerful at handling this issue. Respond can be securely considered among the most well known and vigorous JavaScript libraries you can use to make quick, intelligent UIs for web applications.

In this article, I'm going to discuss what React Js development company in chennai is great at and what makes it work, which ought to give you some setting to enable you to choose if this library could be a solid match for your next undertaking.

What Is React?

Respond is a Facebook creation which basically names itself similar to a JavaScript library for structure UIs.

It's an open-source venture which, until this point, has rounded up more than 74,000 stars on GitHub.

React is:

Decisive: you just need to plan basic perspectives for each state in your application and React will effectively refresh and render only the correct segments when your information changes.

Segment based: you make your React-fueled

applications by amassing various typified parts, each dealing with its own state.

Adapt Once, Write Anywhere: React is certifiably not an out and out structure; it's only a library for rendering sees.

How Does the Virtual DOM Work?

The Virtual DOM is at the center of what makes React quick at rendering UI components and their changes. How about we look nearer into its instrument.

 The HTML Document Object Model or DOM is a

programming interface for HTML and XML records. … The DOM gives a portrayal of the archive as an organized gathering of hubs and items that have properties and strategies. Basically, it associates site pages to contents or programming dialects.

At whatever point you need to change any piece of a site page automatically, you have to alter the DOM. Contingent upon the multifaceted nature and size of the record, navigating the DOM and refreshing it could take longer than clients may be set up to acknowledge, particularly on the off chance that you consider the work programs need to do when something in the DOM changes. Truth be told, each time the DOM gets refreshed, programs need to recalculate the CSS and complete design and repaint tasks on the website page.

Respond empowers engineers to make changes to the site page without managing the DOM. This is done by means of the Virtual DOM.

The Virtual DOM is a lightweight, conceptual model of the DOM. Respond utilizes the render technique to make a hub tree from React parts and updates this tree because of changes in the information model coming about because of activities.

Each time there are changes to the basic information in a React application, React makes another Virtual DOM portrayal of the UI.

Refreshing UI Changes with the Virtual DOM

With regards to refreshing the program's DOM, React Js development company in India generally pursues the means beneath:

1.       At whatever point something changes, React re-renders the whole UI in a Virtual DOM portrayal.

2.       Respond then ascertains the contrast between the past Virtual DOM portrayal and the enhanced one.

3.       At last, React fixes up the genuine DOM with what has really changed. In the case of nothing has changed, React won't manage the HTML DOM by any stretch of the imagination.

One would believe that such a procedure, which includes keeping two portrayals of the Virtual DOM in memory and looking at them, could be more slow than managing the genuine DOM. This is the place effective diff calculations, clustering DOM read/compose tasks, and restricting DOM changes to the absolute minimum vital, cause utilizing To respond and its Virtual DOM an incredible decision for structure performant applications.

Conclusion

Respond and other comparative JavaScript libraries facilitate the advancement of smart, occasion driven UIs that are quick at reacting to state changes. One basic objective can be distinguished in the longing to conquer any hindrance between web applications and local applications: clients expect web applications to feel smooth and consistent like local applications.

This is the course towards which current web improvement is going in react js company in Chennai It's not by chance that the most recent update of Create React App, a task that makes conceivable the making of React applications with zero arrangement, has delivered with the usefulness of making dynamic web applications (PWAs) naturally. These are applications that influence administration laborers and disconnected first reserving to limit inertness and make web applications work disconnected.

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Introduction to Different Types of JavaScript for Web Applications

Are you looking to learn more about the different types of JavaScript? As a web developer, understanding the various options available for JavaScript is vital for success in your profession. In this article, we will provide an introduction to the different types of JavaScript, including client-side, server side, frameworks, libraries, trans pilers, poly-fills, syntax parsers and code optimizers. 

Client-side JavaScript (also known as frontend JavaScript) is used to create interactive webpages that are viewable on modern web browsers. It allows developers to add interactivity and dynamic content to their websites. Additionally, it can be used to manipulate HTML and CSS elements which provides users with an improved experience when they interact with these elements on a webpage. 

Server-side JavaScript (also known as backend JavaScript) is used primarily for server-side applications such as creating databases or processing data. It can also be used to build websites and APIs that require data from the server or database. Unlike frontend JavaScript which runs on the user's browser, server-side JavaScript is executed on the server and then sent to the user's browser when required.

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Frameworks are prewritten code that provide developers with a structure for building applications quickly and efficiently. Popular frameworks include ReactJS and NodeJS which both have extensive libraries of prebuilt components that make development faster and easier. They also allow developers to build complex applications from smaller components instead of having to write code from scratch each time. 

Libraries are collections of code written by others that can be incorporated into your own projects and applications. Popular library examples include jQuery and Dojo Toolkit which help developers with many aspects of coding.

Mastering Different Types of Java-script for Web Applications

Writing web applications in JavaScript has become immensely popular in recent years. With the everchanging and expanding world of technology, understanding the different types of JavaScript is essential for developers to successfully create and maintain web applications. To help you master different types of JavaScript for web applications, here’s a comprehensive guide on the various variations of JavaScript, frameworks, runtime environments, query languages, and debugging techniques you should be aware of. 

JavaScript Variations

When it comes to JavaScript variations, there are 3 main types: frontend JavaScript, backend JavaScript, and ES6 features. Frontend JavaScript is used to create interactive elements on a website by writing code that alters the website’s user interface. Backend JavaScript is used to power the logic behind a website’s server-side components. Lastly, ES6 (ECMAScript 6) introduces new syntax elements and also includes some features that make it easier to write complicated code such as classes, constants, arrow functions etc. 

Frameworks 

When developing web applications with JavaScript, frameworks like React or Vue can simplify complex tasks when developing frontend interfaces or React Native for mobile apps. Angular provides many useful tools for structuring standard enterprise projects which makes it a popular framework choice for many teams. With tools like React Hooks and Context API making state management easier than ever before. 

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Runtime Environment & Query Language 

The Node.js runtime environment makes it possible to run JavaScript outside of the browser—meaning that you can use the same language across your entire project rather than mixing languages (such as PHP/Python). Additionally Graph QL is an opensource query language that allows different software systems to interact with one another without relying on traditional REST.

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7 ways a mobile app can help your small business

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These days there are mobile applications for absolutely everything you could think of.

 There are applications that you can play on, applications you can use to increase your productivity, applications for banking, order food in restaurants, holiday booking, and more.

 More than half of the population has a smartphone, so it should not be a surprise to you that more and more companies are creating their mobile applications to reach customers and grow their business.

 Here are seven ways a mobile application could help you develop your own small business.

 1. stand out from the competition

These days, almost all large companies or business you can think of has a mobile application. But this is something that is still quite rare in small businesses.

 This means it is up to you to be bold, an act of faith, and be the first small business near you to offer an application to your customers.

They will be impressed by your modern and enthusiastic approach, and this will help you stand out among your competitors.

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 2. Be visible at all times

Most people spend at least two hours each day on their phones.

Of course, this time is often spent on games or browsing social media. But that does not change the fact that if someone has your application downloaded on their phone, they will see every time they look through their applications.

 This means they will constantly remind you to exist, ensuring that you will be the first company they think of when they need to buy what you sell.

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 3. Improve your customer service

No matter what you sell, your customers need a way to contact you when they have a question or query.

Of course, you can have an email address or phone number available on your website, but it means that your customers must go for these things.

 It would be so much easier for them if you had an integrated messaging service in your application. This way they will get a quicker response, which shows them that you care about them and want to help.

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 4. Boost brand recognition

If your business application is well designed and working properly, yours will be the first company that consumer’s think of when they want to buy something you sell.

 Indeed, the increased visibility will constantly remind them that you exist.

 Make sure you have your application tested by a group test of mobile applications or business before launching. If your application is not working, it will have the opposite effect, which means that you have wasted time and money.

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 5. Providing value to customers

Consumers will be less willing to buy from you if they feel you care about only their money, which is why many companies are trying to provide value to their customers through loyalty cards.

 These days, you can scan your loyalty program and allow customers to accumulate points through their mobile applications.

 This means that customers will continue to earn points even if they are buying online or forget to bring their loyalty card with them.

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 6. Building and maintaining loyalty

An application is a great way to build and maintain loyalty to your small business.

 Of course, there's the fact that you can offer a loyalty program on your application, which gives customers a reason to return again and again. But an application can also improve your customer service.

If you show customers that you care about them, being always available through a courier, they will want to help by shopping with you.

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7. Connect with busy customers

Shopping online is much more convenient than going to a store, but there are still customers out there who do not have time to sit at a computer and go through your website.

 However, these people almost always have their smartphones with them. This means that if you had an app, they might buy from you when they are at the gym, watch TV, or on a break at work.

If you made it possible for them to save their payment details, it would be even easier for them.

 Mobile applications are a great way to connect with customers, increase your brand and stand out from the competition. You do not necessarily have to have an application to succeed, and an application will ensure that you are, but it will certainly give you a good shot, so there's no reason not to create one for your small business.

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Eight years ago, universities like MIT and Stanford first opened up free online courses to the public. Today, close to 1000 schools around the world have created thousands of free online courses, popularly known as Massive Open Online Courses or MOOCs. I’ve compiled this list of 620+ such free online courses that you can start this month. For this, I leveraged Class Central’s database of over 15,000 online courses. I’ve also included each course’s average rating. Class Central's HomepageI’ve sorted these courses into the following categories based on their difficulty level: BeginnerIntermediateAdvancedCourses that are being offered for the first time are marked as [NEW]. Many of these courses are completely self-paced. The rest will start at various times throughout the year. You can find complete lists of the technology-related courses starting later in 2020 on Class Central’s Computer Science, Data Science, and Programming subject pages. I understand this a long list and might be daunting for learners new to programming. In that case, you might find David Venturi’s recommendations for the best Data Science online courses useful — even if you’re not looking to learn Data Science. I hope to create more of these guides in the future. And finally if you have trouble figuring out how to signup for Coursera courses for free, don’t worry — I’ve written an article on how to do that, too. Beginner (175)An Introduction to Interactive Programming in Python (Part 1) from Rice University ★★★★★(3161)Elements of AI from University of Helsinki ★★★★★(202)Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★☆(122)Learn to Program: The Fundamentals from University of Toronto ★★★★★(105)CS50's Introduction to Computer Science from Harvard University ★★★★★(78)Ruby on Rails: An Introduction from Johns Hopkins University ★★★☆☆(56)Introduction to HTML5 from University of Michigan ★★★★☆(43)Internet History, Technology, and Security from University of Michigan ★★★★★(37)Introduction to Linux from Linux Foundation ★★★★☆(37)Intro to HTML and CSS[New] The Beauty and Joy of Computing (CS Principles), Part 1 from University of California, Berkeley[New] Introduction to Database Systems from Indian Institute of Technology Madras[New] Coding for Designers, Managers, & Entrepreneurs I from University of Virginia[New] Coding for Designers, Managers, & Entrepreneurs II from University of Virginia[New] Coding for Designers, Managers, & Entrepreneurs III from University of Virginia[New] Computational Social Science Methods from University of California, Davis[New] Creating a Great User Experience for Mobile Apps from University of Leeds[New] Computer Programming for Everyone from University of Leeds[New] Learn to Code for the Web from University of Leeds[New] Cloud Security Basics from University of MinnesotaBuild a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(25)[New] C for Everyone: Structured Programming from University of California, Santa Cruz[New] Introduction to Site Reliability Engineering and DevOps from Linux Foundation[New] Introduction to Web Accessibility from World Wide Web Consortium (W3C)[New] Introduction to Web Development from Raspberry Pi FoundationWeb Security Fundamentals from KU Leuven University ★★★★☆(22)Introduction to Cyber Security from The Open University ★★★★☆(20)Computer Science 101 from Stanford University ★★★★☆(17)Fundamentos TIC para profesionales de negocios: Desarrollo de Software from Universitat Politècnica de València ★★★★☆(17)Introduction to CSS3 from University of Michigan ★★★★★(14)HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(14)Programming Basics from Indian Institute of Technology Bombay ★★☆☆☆(13)Fundamentos TIC para profesionales de negocios: Aplicaciones empresariales from Universitat Politècnica de València ★★★★★(13)Introduction to Computer Networking from Stanford University ★★★★★(12)Introduction to the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(12)Creative Programming for Digital Media & Mobile Apps from University of London International Programmes ★★★★☆(11)Introduction to Programming for the Visual Arts with p5.js from University of California, Los Angeles ★★★★★(10)HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(10)Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(9)Usable Security from University of Maryland, College Park ★★★☆☆(9)Introduction to Bootstrap - A Tutorial from Microsoft ★★★☆☆(9)Intro to Relational DatabasesLinux Command Line BasicsHow To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★☆(6)Diagramas UML estructurales para la Ingeniería del Software from Universitat Politècnica de València ★★★★★(6)Introduction to jQuery from Microsoft ★★★★☆(6)Paradigms of Computer Programming – Fundamentals from Université catholique de Louvain ★★★★★(5)Paradigms of Computer Programming – Abstraction and Concurrency from Université catholique de Louvain ★★★★☆(5)HTML5 and CSS Fundamentals from World Wide Web Consortium (W3C) ★★★★☆(5)CS50's Web Programming with Python and JavaScript from Harvard University ★★★★★(4)Technical Support Fundamentals from Google ★★☆☆☆(4)Programming in Scratch from Harvey Mudd College ★★★★★(4)Introduction to Computing using Python from Georgia Institute of Technology ★★★★★(3)Web Development and Design using Wordpress from California Institute of the Arts ★★★★☆(3)Object-Oriented Programming from Indian Institute of Technology Bombay ★★★☆☆(3)Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(3)Learn to Program in Java from Microsoft ★★★★★(3)Version Control with Git from Atlassian ★★★★★(3)The Unix Workbench from Johns Hopkins University ★★★★☆(2)The Beauty and Joy of Computing - AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)Introduction to Internet of Things from Indian Institute of Technology, Kharagpur ★★★★★(2)Introduction to the Internet of Things (IoT) (COMING 2020) from Curtin University ★★★☆☆(2)Linux Basics: The Command Line Interface from Dartmouth ★★★★★(2)C Programming: Modular Programming and Memory Management from Dartmouth ★★★★★(2)Think. Create. Code. from University of Adelaide ★★★★★(2)The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(2)Introduction to NodeJS from Microsoft ★★★★★(2)Logic and Computational Thinking from Microsoft ★★★★★(2)Introduction to HTML and JavaScript from Microsoft ★★★★★(2)Software Engineering Essentials from Technische Universität München (Technical University of Munich) ★★★★☆(2)CS For All: Introduction to Computer Science and Python Programming from Harvey Mudd College ★★★★★(2)Web Applications for EverybodyVersion Control with GitCS50's Computer Science for Business Professionals from Harvard University ★★★★★(1)CS50's Introduction to Computer Science from Harvard University ★★★★★(1)CS50's Mobile App Development with React Native from Harvard University ★★★★☆(1)CS50's Introduction to Game Development from Harvard University ★★★★★(1)CS50's Understanding Technology from Harvard University ★★★★★(1)Networks: Friends, Money, and Bytes from Princeton University ★★★☆☆(1)Introduction to Computer Programming from University of London International Programmes ★★★★★(1)How Computers Work from University of London International Programmes ★★★★★(1)Software Engineering: Introduction from The University of British Columbia ★★★★★(1)Python Programming Essentials from Rice University ★★★★★(1)Introduction to Web Development from University of California, Davis ★★★☆☆(1)Web Design: Strategy and Information Architecture from California Institute of the Arts ★★★★★(1)Cyber Security Economics from Delft University of Technology ★★☆☆☆(1)C Programming: Language Foundations from Institut Mines-Télécom ★★★★★(1)C Programming: Pointers and Memory Management from Dartmouth ★★★★★(1)C Programming: Using Linux Tools and Libraries from Dartmouth ★★★★★(1)Creative Coding from New York University (NYU) ★★★★☆(1)Lernen objekt-orientierter Programmierung from Technische Universität München (Technical University of Munich) ★★★★★(1)C for Everyone: Programming Fundamentals from University of California, Santa Cruz ★★★★☆(1)Computing: Art, Magic, Science from ETH Zurich ★★★★☆(1)Computing Form and Shape: Python Programming with the Rhinoscript Library from Rhode Island School of Design ★★★★★(1)MyCS: Computer Science for Beginners from Harvey Mudd College ★★★☆☆(1)How Computers Work: Demystifying Computation from Raspberry Pi Foundation ★★☆☆☆(1)Blockchain in the Energy Sector from InnoEnergy ★★☆☆☆(1)ES6 - JavaScript ImprovedCS50 for Lawyers from Harvard UniversityPrinciples of Computing from Stanford UniversityHacker Tools from Massachusetts Institute of TechnologyComputational Thinking for Problem Solving from University of PennsylvaniaThe Blockchain System from University of California, IrvineThe Blockchain from University of California, IrvineThe Beauty and Joy of Computing - AP® CS Principles Part 2 from University of California, BerkeleyThe Beauty and Joy of Computing (CS Principles), Part 3 from University of California, BerkeleyThe Beauty and Joy of Computing (CS Principles), Part 4 from University of California, BerkeleyFoundations to Computer Systems Design from Indian Institute of Technology MadrasProgramming in C++ from Indian Institute of Technology, KharagpurProblem Solving through Programming in C from Indian Institute of Technology, KharagpurAn Introduction to Programming through C++ from Indian Institute of Technology BombayProgramming Fundamentals from Duke UniversityInteracting with the System and Managing Memory from Duke UniversityComputer Science: Programming with a Purpose from Princeton UniversityIntroduction to Internationalization and Localization from University of WashingtonIntroduction to Cybersecurity from University of WashingtonProgramming, Data Structures And Algorithms Using Python from Chennai Mathematical InstituteSoftware testing from Indian Institute of Technology BangalorePrinciples of Secure Coding from University of California, DavisIdentifying Security Vulnerabilities from University of California, DavisВведение в базы данных from St. Petersburg State Polytechnic UniversityScratch: Programmeren voor kinderen (8+) from Delft University of TechnologyAP Computer Science A: Java Programming Loops and Data Structures from Purdue UniversityAP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from Purdue UniversityAP Computer Science A: Java Programming Classes and Objects from Purdue UniversityProgrammazione I from University of Naples Federico IILaTeX for Students, Engineers, and Scientists from Indian Institute of Technology BombayОсновы проектирования приложений интернета вещей from Moscow Institute of Physics and TechnologyТонкости верстки from Moscow Institute of Physics and TechnologySoftware Design as an Element of the Software Development Lifecycle from University of Colorado SystemProactive Computer Security from University of Colorado SystemTCP/IP and Advanced Topics from University of Colorado SystemSoftware Design as an Abstraction from University of Colorado SystemSoftware Design Methods and Tools from University of Colorado SystemIntroduction to Cybersecurity for Business from University of Colorado SystemIntroduction to the Internet of Things from Universitat Politècnica de ValènciaБазы данных (Databases) from Saint Petersburg State UniversityCyber Security Basics: A Hands-on Approach from Universidad Carlos iii de MadridDeep Learning for Business from Yonsei UniversityIntroduction to TCP/IP from Yonsei UniversityVideo Game Design and Balance from Rochester Institute of TechnologyProblem Solving, Python Programming, and Video Games from University of AlbertaBlockchain 360: A State of the Art for Professionals from EIT DigitalGetting Started with AWS Machine Learning from Amazon Web ServicesAWS Fundamentals: Addressing Security Risk from Amazon Web ServicesIntroduzione a LaTeX from University of Modena and Reggio EmiliaC Programming: Getting Started from DartmouthC Programming: Advanced Data Types from DartmouthIntrodução à Ciência da Computação com Python Parte 1 from Universidade de São PauloIntrodução à Ciência da Computação com Python Parte 2 from Universidade de São PauloWeb Accessibility from GoogleProgramación Orientada a Objetos con Python from Universidad AustralDiseñando páginas web con Bootstrap 4 from Universidad AustralIntroducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de MadridIntroduction to Design Thinking from MicrosoftCSS Basics from MicrosoftWriting Professional Code from MicrosoftObject Oriented Programming in Java from MicrosoftHow Entrepreneurs in Emerging Markets can master the Blockchain Technology from University of Cape TownCyber Attack Countermeasures from New York University (NYU)Introduction to Cyber Attacks from New York University (NYU)Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de ChileBlockchain: Understanding Its Uses and Implications from Linux FoundationIntroduction to Open Source Networking Technologies from Linux FoundationInternet Connection: How to Get Online? from CiscoHome Networking Basics from CiscoComputing: Art, Magic, Science - Part II from ETH ZurichMobile Computing with App Inventor – CS Principles from The University of Warwickプログラミングしながら学ぶコンピュータサイエンス入門 : Introduction to Computer Science and Programming from Tokyo Institute of TechnologyL'intelligence artificielle pour les managers et leurs équipes from CNAMIntroduction to MongoDB from MongoDB UniversityProgramación Orientada a Objetos (POO) from MéxicoXComputer Networks from Devi Ahilya Viswavidyalaya, IndoreHTTP & Web ServersIntroduction to Virtual RealityUsing Databases with Python from University of Michigan ★★★★★(1462)Machine Learning from Stanford University ★★★★★(352)Introduction to Agent-based Modeling from Santa Fe Institute ★★★★★(78)Machine Learning for Musicians and Artists from Goldsmiths, University of London ★★★★★(78)Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(68)Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(66)Algorithms, Part I from Princeton University ★★★★★(60)CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(31)Principles of Computing (Part 1) from Rice University ★★★★★(30)Software Security from University of Maryland, College Park ★★★★☆(26)[New] Data Base Management System from Indian Institute of Technology, Kharagpur[New] Computer Networks and Internet Protocol from Indian Institute of Technology, Kharagpur[New] Introduction to algorithms and analysis from Indian Institute of Technology, Kharagpur[New] Operating System from Indian Institute of Technology Delhi[New] An Introduction to Artificial Intelligence from Indian Institute of Technology Delhi[New] Modern Application Development from NPTELResponsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(25)[New] Procedural Modelling from National University of Singapore[New] Using Machine Learning in Trading and Finance from New York Institute of Finance[New] Operatings Systems from University of Madras, Chennai[New] Data Structures and Algorithms (III) from Tsinghua University[New] Data Structures and Algorithms (IV) from Tsinghua University[New] Data Structures and Algorithms (I) from Tsinghua University[New] Data Structures and Algorithms (II) from Tsinghua UniversityAlgorithmic Toolbox from University of California, San Diego ★★★★☆(23)Programming Languages, Part A from University of Washington ★★★★★(22)Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(21)Algorithms, Part II from Princeton University ★★★★★(21)Automata Theory from Stanford University ★★★★☆(20)Introduction to Machine Learning Course from Stanford University ★★★★☆(19)C++ For C Programmers, Part A from University of California, Santa Cruz ★★★☆☆(18)The Nature of Code from Processing Foundation ★★★★★(18)Julia Scientific Programming from University of Cape Town ★★★★☆(17)Principles of Computing (Part 2) from Rice University ★★★★☆(16)Algorithmic Thinking (Part 1) from Rice University ★★★★☆(15)Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(14)Design of Computer Programs from Stanford University ★★★★☆(13)Object-Oriented Design from University of Alberta ★★★★☆(13)Interactivity with JavaScript from University of Michigan ★★★★☆(12)Responsive Web Design from University of London International Programmes ★★★★☆(12)How to Code: Simple Data from The University of British Columbia ★★★★☆(12)Introduction to Game Development from Michigan State University ★★★★★(12)Discrete Optimization from University of Melbourne ★★★★☆(12)Introduction to Software Product Management from University of Alberta ★★★★☆(12)Introduction to Functional Programming from Delft University of Technology ★★★★☆(11)Programming Languages from University of Virginia ★★★☆☆(10)Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)Using Python for Research from Harvard University ★★★☆☆(9)Advanced Styling with Responsive Design from University of Michigan ★★★★☆(9)Algorithmic Thinking (Part 2) from Rice University ★★★★☆(9)Responsive Web Design Fundamentals from Google ★★★★★(9)Data Wrangling with MongoDB from MongoDB University ★★★☆☆(9)Data Structures from University of California, San Diego ★★★★☆(8)Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign ★★★☆☆(8)Design Patterns from University of Alberta ★★★★☆(8)Full Stack FoundationsImage and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(7)Guided Tour of Machine Learning in Finance from New York University (NYU) ★☆☆☆☆(7)Software Testing from University of Utah ★★★★☆(7)Intro to DevOps from Nutanix ★★★☆☆(7)Intro to AJAXRuby on Rails Web Services and Integration with MongoDB from Johns Hopkins University ★★★★★(6)Computer Networking from Georgia Institute of Technology ★★★★☆(6)Internet of Things: How did we get here? from University of California, San Diego ★★☆☆☆(6)Computer Graphics from University of California, San Diego ★★★★☆(6)Data Structures and Performance from University of California, San Diego ★★★★☆(6)Computer Architecture from Princeton University ★★★★☆(6)Software Defined Networking from Princeton University ★★★★☆(6)Web Application Development with JavaScript and MongoDB from University of London International Programmes ★★★★☆(6)Introduction to Meteor.js Development from University of London International Programmes ★★★★☆(6)MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(6)Client Needs and Software Requirements from University of Alberta ★★★★★(6)Scalable Microservices with Kubernetes from Google ★★★☆☆(6)Intro to AlgorithmsSoftware Construction in Java from Massachusetts Institute of Technology ★★★★★(5)Software Development Process from Georgia Institute of Technology ★★★★☆(5)Data Structures: An Active Learning Approach from University of California, San Diego ★★★★★(5)Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(5)Software Debugging from Saarland University ★★★★★(5)Parallel Programming ConceptsAlgorithms on Strings from University of California, San Diego ★★★☆☆(4)Rails with Active Record and Action Pack from Johns Hopkins University ★★★★☆(4)Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego ★★★☆☆(4)Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(4)Analysis of Algorithms from Princeton University ★★★★★(4)Database Management Essentials from University of Colorado System ★★★★☆(4)Google Cloud Platform Fundamentals: Core Infrastructure from Google ★★★★☆(4)JavaScript Promises from Google ★★★★★(4)Website Performance Optimization from Google ★★★★☆(4)UX Design for Mobile Developers from Google ★★★★★(4)Querying Data with Transact-SQL from Microsoft ★★★★☆(4)Practical Numerical Methods with Python from George Washington University ★★★★☆(4)Interactive Computer Graphics from The University of Tokyo ★★☆☆☆(4)Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science ★★★★★(4)Machine Learning: Unsupervised Learning from Brown University ★★★☆☆(3)Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)Machine Learning Fundamentals from University of California, San Diego ★★★★☆(3)Internet of Things: Communication Technologies from University of California, San Diego ★★★☆☆(3)Animation and CGI Motion from Columbia University ★★★☆☆(3)Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3)Programming Languages, Part B from University of Washington ★★★★☆(3)Fundamentals of Machine Learning from Santa Fe Institute ★★★★★(3)DevOps for Developers: How to Get Started from Microsoft ★★★★☆(3)Autonomous Mobile Robots from ETH Zurich ★★★☆☆(3)Configuring Linux Web ServersJavaScript TestingCompilers from Stanford University ★★★★☆(2)Language, Proof and Logic from Stanford University ★★★★★(2)Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)Algorithms on Graphs from University of California, San Diego ★★★★☆(2)Software Architecture & Design from Georgia Institute of Technology ★★★★★(2)Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)Algorithmic Design and Techniques from University of California, San Diego ★★★☆☆(2)Programming Languages, Part C from University of Washington ★★★★☆(2)Responsive Website Tutorial and Examples from University of London International Programmes ★★★★★(2)How to Code: Complex Data from The University of British Columbia ★★★★★(2)Software Testing Management from University System of Maryland ★★☆☆☆(2)Browser Rendering Optimization from Google ★★★★☆(2)Client-Server Communication from Google ★★★★★(2)Developing International Software, Part 1 from Microsoft ★★★★☆(2)Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem ★★★★★(2)Approximation Algorithms Part I from École normale supérieure ★★★★★(2)SQL for Data AnalysisNetworking for Web DevelopersComputation Structures 2: Computer Architecture from Massachusetts Institute of Technology ★★★★☆(1)Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology ★★☆☆☆(1)Software Development Fundamentals from University of Pennsylvania ★★★☆☆(1)Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)Bitcoin and Cryptocurrencies from University of California, Berkeley ★★★★★(1)Database Systems Concepts & Design from Georgia Institute of Technology ★★★★☆(1)Introduction to Machine Learning from Duke University ★★☆☆☆(1)Design and Analysis of Algorithms from Chennai Mathematical Institute ★★★☆☆(1)Software Construction: Data Abstraction from The University of British Columbia ★★★☆☆(1)Software Construction: Object-Oriented Design from The University of British Columbia ★★☆☆☆(1)Running Product Design Sprints from University of Virginia ★★★☆☆(1)SQL for Data Science from University of California, Davis ★☆☆☆☆(1)Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology ★★★★★(1)Web Application Development: Basic Concepts from University of New Mexico ★★★★☆(1)Algorithms from Indian Institute of Technology Bombay ★★★★★(1)Requirements Specifications: Goals and Conflict Analysis from University of Colorado System ★★★☆☆(1)Formal Software Verification from University System of Maryland ★★☆☆☆(1)Computer Forensics from Rochester Institute of Technology ★★★★★(1)Paradigms of Computer Programming from Université catholique de Louvain ★★★★☆(1)Service-Oriented Architecture from University of Alberta ★★★★★(1)Software Architecture from University of Alberta ★★★★☆(1)Software Architecture for the Internet of Things from EIT Digital ★★★★☆(1)Google Cloud Platform Fundamentals for AWS Professionals from Google Cloud ★★☆☆☆(1)Google Maps APIs from Google ★★★★★(1)Cybersecurity and Mobility from University System of Georgia ★☆☆☆☆(1)Introduction to Computation Theory from Santa Fe Institute ★★★★★(1)Introduction to TypeScript 2 from Microsoft ★☆☆☆☆(1)Introduction to C# from Microsoft ★★☆☆☆(1)Principles of Machine Learning from Microsoft ★★★★★(1)Building Interactive Prototypes using JavaScript from Microsoft ★★★★☆(1)Algorithms and Data Structures from Microsoft ★★☆☆☆(1)Developing SQL Databases from Microsoft ★★☆☆☆(1)Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(1)Fundamentals of Machine Learning in Finance from New York University (NYU) ★☆☆☆☆(1)Introduction to Cloud Infrastructure Technologies from Linux Foundation ★★★★☆(1)用Python玩转数据 Data Processing Using Python from Nanjing University ★★★★★(1)2D Game Development with libGDX from Amazon ★★★★★(1)An Introduction to Practical Deep Learning from Intel ★★★☆☆(1)Fundamentals of Parallelism on Intel Architecture from Intel ★★★★★(1)How to Win Coding Competitions: Secrets of Champions from ITMO University ★★★☆☆(1)HTML5 Apps and Games from World Wide Web Consortium (W3C) ★★★☆☆(1)Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario ★★★★★(1)Technical Interview from Pramp ★★★★★(1)Designing RESTful APIsIntro to Theoretical Computer ScienceFoundations of Machine Learning from Bloomberg ★★★★★(1)Graph Search, Shortest Paths, and Data Structures from Stanford UniversityGreedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford UniversityAlgorithms: Design and Analysis, Part 2 from Stanford UniversityShortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford UniversityProbabilistic Graphical Models 3: Learning from Stanford UniversityAlgorithms: Design and Analysis from Stanford UniversityMobile Application Experiences from Massachusetts Institute of TechnologyMobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of TechnologyAdvanced Software Construction in Java from Massachusetts Institute of TechnologyData Structures and Software Design from University of PennsylvaniaAlgorithm Design and Analysis from University of PennsylvaniaIntroduction to Neurohacking In R from Johns Hopkins UniversityThe Merkle Tree and Cryptocurrencies from University of California, IrvineGames, Sensors and Media from University of California, IrvineBlockchain Technology from University of California, BerkeleyFoundations of Data Science: Prediction and Machine Learning from University of California, BerkeleyIntroduction to Soft Computing from Indian Institute of Technology, KharagpurHuman-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of TechnologyIntroduction to Graduate Algorithms from Georgia Institute of TechnologyHuman-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of TechnologyDatabase Systems Concepts and Design from Georgia Institute of TechnologyHuman-Computer Interaction III: Ethics, Needfinding & Prototyping from Georgia Institute of TechnologySoftware Analysis & Testing from Georgia Institute of TechnologyHuman-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of TechnologyGraph Algorithms from University of California, San DiegoData Structures Fundamentals from University of California, San DiegoMinecraft, Coding and Teaching from University of California, San DiegoString Processing and Pattern Matching Algorithms from University of California, San DiegoCreating Virtual Reality (VR) Apps from University of California, San DiegoHow Virtual Reality Works from University of California, San DiegoInternet of Things: Sensing and Actuation From Devices from University of California, San DiegoJava Programming: Build a Recommendation System from Duke UniversityObject-Oriented Data Structures in C++ from University of Illinois at Urbana-ChampaignData Analytics Foundations for Accountancy II from University of Illinois at Urbana-ChampaignOrdered Data Structures from University of Illinois at Urbana-ChampaignComputer Science: Algorithms, Theory, and Machines from Princeton UniversityBuilding a Cybersecurity Toolkit from University of WashingtonCybersecurity: The CISO's View from University of WashingtonFinding Your Cybersecurity Career Path from University of WashingtonSmart Contracts from University at BuffaloDecentralized Applications (Dapps) from University at BuffaloBlockchain Platforms from University at BuffaloBlockchain Basics from University at BuffaloSocial networks from Indian Institute of Technology, RoparMathematics for Computer Science from University of London International Programmes面向对象技术高级课程（The Advanced Object-Oriented Technology） from Peking University算法设计与分析 Design and Analysis of Algorithms from Peking UniversityIdentifying Security Vulnerabilities in C/C++Programming from University of California, DavisExploiting and Securing Vulnerabilities in Java Applications from University of California, DavisДокументы и презентации в LaTeX (Introduction to LaTeX) from Higher School of EconomicsLAFF – On Programming for Correctness from The University of Texas at AustinLean Software Development from University of MinnesotaSoftware Development Processes and Methodologies from University of MinnesotaEngineering Practices for Building Quality Software from University of MinnesotaGlobal Software Development from Delft University of TechnologyAutomated Software Testing: Unit Testing, Coverage Criteria and Design for Testability from Delft University of TechnologyAutomated Software Testing: Model and State-based Testing from Delft University of TechnologyMultiplatform Mobile App Development with Web Technologies: Ionic and Cordova from The Hong Kong University of Science and TechnologyMultiplatform Mobile App Development with NativeScript from The Hong Kong University of Science and TechnologyFront-End Web UI Frameworks and Tools: Bootstrap 4 from The Hong Kong University of Science and TechnologyDeveloping Android Apps with App Inventor from The Hong Kong University of Science and TechnologyMultiplatform Mobile App Development with React Native from The Hong Kong University of Science and TechnologyFoundations of Data Structures from Indian Institute of Technology BombayImplementation of Data Structures from Indian Institute of Technology BombayРазработка веб-сервисов на Golang, часть 2 from Moscow Institute of Physics and TechnologyОсновы HTML и CSS from Moscow Institute of Physics and TechnologyHomeland Security & Cybersecurity Connection - It's Not About the Terrorists from University of Colorado SystemData Structures and Design Patterns for Game Developers from University of Colorado SystemHacking and Patching from University of Colorado SystemData Analysis and Representation, Selection and Iteration from University of Colorado SystemRequirements Gathering for Secure Software Development from University of Colorado SystemSoftware Design Threats and Mitigations from University of Colorado SystemLinux Server Management and Security from University of Colorado SystemSRS Documents: Requirements and Diagrammatic Notations from University of Colorado SystemCloud Computing Security from University of Colorado SystemPeer-to-Peer Protocols and Local Area Networks from University of Colorado SystemFundamentals of Network Communication from University of Colorado SystemPacket Switching Networks and Algorithms from University of Colorado SystemDetecting and Mitigating Cyber Threats and Attacks from University of Colorado SystemRequirements Elicitation: Artifact and Stakeholder Analysis from University of Colorado SystemAbstraction, Problem Decomposition, and Functions from University of Colorado SystemSoftware Requirements Prioritization: Risk Analysis from University of Colorado SystemAlgorithms, Data Collection, and Starting to Code from University of Colorado SystemRelational database systems from Universidad Nacional Autónoma de MéxicoNoSQL systems from Universidad Nacional Autónoma de MéxicoСетевое администрирование: от теории к практике from Tsinghua UniversityИспользование механизмов операционных систем в разработке программного обеспечения from National Research Nuclear University MEPhIEnterprise Software Lifecycle Management from National Research Nuclear University MEPhIIntroduction to Java Programming: Fundamental Data Structures and Algorithms from Universidad Carlos iii de MadridThe Software Architect Code: Building the Digital World from Universidad Carlos iii de MadridSoftware Testing Fundamentals from University System of MarylandCloud Computing for Enterprises from University System of MarylandCloud Computing Infrastructure from University System of MarylandCloud Computing Management from University System of MarylandTeamwork & Collaboration from Rochester Institute of TechnologyCybersecurity Risk Management from Rochester Institute of TechnologyGameplay Programming for Video Game Designers from Rochester Institute of TechnologyReviews & Metrics for Software Improvements from University of AlbertaIntroduction to Architecting Smart IoT Devices from EIT DigitalArchitecting Smart IoT Devices from EIT DigitalCybersecurity and Privacy in the IoT (COMING 2020) from Curtin UniversityCommunicating with Robots and Bots from Curtin UniversityClient-based Web Applications development: ReactJS & Angular from Universidad Politécnica de MadridAdvanced Algorithmics and Graph Theory with Python from Institut Mines-TélécomIntrodução ao Teste de Software from Universidade de São PauloIntro to Data Structures and Algorithms from GoogleIntro to Progressive Web Apps from GoogleOffline Web Applications from GoogleIntroduction to Data Structures from University of AdelaideCybersecurity and the X-Factor from University System of GeorgiaCybersecurity and the Internet of Things from University System of GeorgiaCreating Programmatic SQL Database Objects from MicrosoftBuilding Cloud Apps with Microsoft Azure - Part 3 from MicrosoftApplication Design Considerations: An Inclusive Approach from MicrosoftDesigning Data Platform Solutions from MicrosoftApplied Machine Learning from MicrosoftAngularJS: Framework Fundamentals from MicrosoftAlgorithms and Data Structures in C# from MicrosoftBuilding Functional Prototypes using Node.js from MicrosoftOptimizing Performance for SQL Based Applications from MicrosoftAdvanced CSS Concepts from MicrosoftDeveloping Intelligent Apps and Bots from MicrosoftImplementing In-Memory SQL Database Objects from MicrosoftBasic System Programming on IBM Z from IBMCybersecurity Compliance Framework & System Administration from IBMWeb App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)Introduction to Kubernetes from Linux FoundationOpen Source and the 5G Transition from Linux FoundationHyperledger Sawtooth for Application Developers from Linux FoundationBusiness Considerations for 5G, IoT and AI from Linux FoundationIntroduction to Web Cartography: Part 1 from ETH ZurichUML Class Diagrams for Software Engineering from KU Leuven UniversityIoT System Architecture: Design and Evaluation from Waseda UniversityOrientação a Objetos com Java from Instituto Tecnológico de AeronáuticaIntroduction: Elements of Microgame Design from Worcester Polytechnic InstituteFundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red HatFundamentals of Red Hat Enterprise Linux from Red HatHacker101 from HackerOneConcurrency from AdaCore UniversityIntroduction to Applied Machine Learning from Alberta Machine Intelligence InstituteVR Scenes and ObjectsDeploying Applications with HerokuDynamic Web Applications with SinatraUIKit FundamentalsAdvanced (127)Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(38)[New] GPU Architectures and Programming from Indian Institute of Technology, Kharagpur[New] Deep Learning from Indian Institute of Technology, Kharagpur[New] Deep Learning - Part 1 from Indian Institute of Technology, Ropar[New] Cloud Computing and Distributed Systems from NPTEL[New] Calculus and Optimization for Machine Learning from Higher School of Economics[New] First Steps in Linear Algebra for Machine Learning from Higher School of Economics[New] Artificial Intelligence from Gujarat University[New] Optimizing Machine Learning Performance from Alberta Machine Intelligence InstituteIntroduction to Artificial Intelligence from Stanford University ★★★★☆(24)Machine Learning: Regression from University of Washington ★★★★★(19)Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(18)Machine Learning for Data Science and Analytics from Columbia University ★★★☆☆(15)Machine Learning With Big Data from University of California, San Diego ★★☆☆☆(13)Hardware Security from University of Maryland, College Park ★★★☆☆(11)Machine Learning from Columbia University ★★★★☆(10)Fundamentals of Reinforcement Learning from University of Alberta ★★★★★(10)Artificial Intelligence (AI) from Columbia University ★★★★☆(9)Convolutional Neural Networks from deeplearning.ai ★★★★★(8)Reinforcement Learning from Brown University ★★★☆☆(8)Machine Learning: Classification from University of Washington ★★★★★(8)Mathematics for Machine Learning: Multivariate Calculus from Imperial College London ★★★★★(8)Practical Deep Learning For Coders, Part 1 from fast.ai ★★★★☆(8)Machine Learning from Georgia Institute of Technology ★★★★☆(6)Parallel programming from École Polytechnique Fédérale de Lausanne ★★★★☆(6)Interactive 3D Graphics from Autodesk ★★★★☆(6)Advanced Operating Systems from Georgia Institute of Technology ★★★★★(5)Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University ★☆☆☆☆(5)Sparse Representations in Image Processing: From Theory to Practice from Technion - Israel Institute of Technology ★★★★★(5)Applied Machine Learning in Python from University of Michigan ★★★★☆(4)Machine Learning: Clustering & Retrieval from University of Washington ★★★★★(4)Machine Learning for Data Analysis from Wesleyan University ★★★★☆(4)Sample-based Learning Methods from University of Alberta ★★★★★(4)Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(4)Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆(3)Practical Predictive Analytics: Models and Methods from University of Washington ★★☆☆☆(3)Regression Modeling in Practice from Wesleyan University ★★★★☆(3)Quantitative Formal Modeling and Worst-Case Performance Analysis from EIT Digital ★★★☆☆(3)6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology ★★★★☆(2)Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology ★★★☆☆(2)Introduction to Operating Systems from Georgia Institute of Technology ★★★★★(2)Intro to Information Security from Georgia Institute of Technology ★★☆☆☆(2)Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud from University of Illinois at Urbana-Champaign ★★★☆☆(2)Introduction to Deep Learning from Higher School of Economics ★★★☆☆(2)Practical Reinforcement Learning from Higher School of Economics ★★★★★(2)Nearest Neighbor Collaborative Filtering from University of Minnesota ★★☆☆☆(2)Learn TensorFlow and deep learning, without a Ph.D. from Google ★★★★☆(2)Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(2)Introduction to Machine Learning from Indian Institute of Technology Madras ★★★★★(1)Computability, Complexity & Algorithms from Georgia Institute of Technology ★★★★★(1)High Performance Computer Architecture from Georgia Institute of Technology ★★★★★(1)Computational Photography from Georgia Institute of Technology ★★★★☆(1)Quantum Machine Learning from University of Toronto ★★★★★(1)Distributed Programming in Java from Rice University ★★★★★(1)Parallel Programming in Java from Rice University ★★★★☆(1)Concurrent Programming in Java from Rice University ★★★★★(1)Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne ★★★☆☆(1)Relational Database Support for Data Warehouses from University of Colorado System ★★☆☆☆(1)Prediction and Control with Function Approximation from University of Alberta ★★★★☆(1)Mathematics for Machine Learning: PCA from Imperial College London ★★☆☆☆(1)Deep Learning Explained from Microsoft ★★★★★(1)DevOps Practices and Principles from Microsoft ★★☆☆☆(1)Sparse Representations in Signal and Image Processing: Fundamentals from Technion - Israel Institute of Technology ★★★★★(1)Introduction to Hyperledger Blockchain Technologies from Linux Foundation ★★★★☆(1)Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation ★★★★★(1)Systems and Application Security from (ISC)² ★★★★☆(1)Introduction to Machine Learning for Coders! from fast.ai ★★★★☆(1)Real-Time Audio Signal Processing in Faust from Stanford UniversityComputation Structures 3: Computer Organization from Massachusetts Institute of TechnologyArtificial Intelligence: Knowledge Representation and Reasoning from Indian Institute of Technology MadrasHigh Performance Computing from Georgia Institute of TechnologyFA18: Machine Learning from Georgia Institute of TechnologyCyber-Physical Systems Design & Analysis from Georgia Institute of TechnologyGT - Refresher - Advanced OS from Georgia Institute of TechnologyCompilers: Theory and Practice from Georgia Institute of TechnologyArtificial Intelligence from Georgia Institute of TechnologyFA17: Machine Learning from Georgia Institute of TechnologyCyber-Physical Systems Security from Georgia Institute of TechnologyNP-Complete Problems from University of California, San DiegoRandomized Algorithms from Indian Institute of Technology GuwahatiSolving Algorithms for Discrete Optimization from University of MelbourneAdvanced Modeling for Discrete Optimization from University of MelbourneBasic Modeling for Discrete Optimization from University of Melbourne离散优化建模基础篇 Basic Modeling for Discrete Optimization from The Chinese University of Hong Kong离散优化算法篇 Solving Algorithms for Discrete Optimization from The Chinese University of Hong Kong离散优化建模高阶篇 Advanced Modeling for Discrete Optimization from The Chinese University of Hong KongInformation Security: Context and Introduction from University of London International ProgrammesBayesian Methods for Machine Learning from Higher School of EconomicsIntroduction to Formal Concept Analysis from Higher School of EconomicsAddressing Large Hadron Collider Challenges by Machine Learning from Higher School of EconomicsМенеджмент информационной безопасности from Higher School of EconomicsМетоды и средства защиты информации from Higher School of EconomicsОбработка изображений from Higher School of EconomicsIntroduction to Recommender Systems: Non-Personalized and Content-Based from University of MinnesotaRecommender Systems: Evaluation and Metrics from University of MinnesotaMatrix Factorization and Advanced Techniques from University of MinnesotaMATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations from National Taiwan University人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic) from National Taiwan UniversitySesenta años de inteligencia artificial from Universidad Nacional Autónoma de MéxicoRazonamiento artificial from Universidad Nacional Autónoma de México大数据机器学习|Big Data Machine Learning from Tsinghua UniversityIntroducción a la visión por computador: desarrollo de aplicaciones con OpenCV from Universidad Carlos iii de MadridCloud Computing Security from University System of MarylandDiscrete Mathematics from Shanghai Jiao Tong UniversitySystem Validation (2): Model process behaviour from EIT DigitalSystem Validation: Automata and behavioural equivalences from EIT DigitalSystem Validation (3): Requirements by modal formulas from EIT DigitalSystem Validation (4): Modelling Software, Protocols, and other behaviour from EIT DigitalApproximation Algorithms from EIT DigitalDevOps Testing from MicrosoftIntroduction to Artificial Intelligence (AI) from MicrosoftInfrastructure as Code from MicrosoftDevOps for Databases from MicrosoftIntroduction to Deep Learning & Neural Networks with Keras from IBMDeep Neural Networks with PyTorch from IBMDeep Learning with Python and PyTorch from IBMStatistical Machine Learning from Carnegie Mellon UniversityCyber-Physical Systems: Modeling and Simulation from University of California, Santa CruzComputer System Design: Advanced Concepts of Modern Microprocessors from Chalmers University of TechnologyCutting Edge Deep Learning For Coders, Part 2 from fast.aiApproximation Algorithms Part II from École normale supérieureReliable Distributed Algorithms - Part 2 from KTH Royal Institute of TechnologySecurity Operations and Administration from (ISC)²Access Controls from (ISC)²Big Data Applications: Machine Learning at Scale from YandexDeep Learning Summer School

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