译670免费在线编程和计算机科学课程

670+ 免费在线编程和计算机科学课程

七年前，麻省理工学院和斯坦福大学等大学首次向公众开放免费在线课程。如今，全球已有近 1000 所学校创建了数千个免费在线课程，俗称 Massive Open Online Courses 或 MOOC。

我已经编制了 670 多个这样的免费在线课程列表，你可以在今年夏天开始。为此，我利用了 Class Central 的 12,000 多个在线课程数据库。我还列出了每门课程的平均评分。

我根据他们的难度级别将这些课程分为以下几类：

• 初学者
• 中间
• 高级

首次提供的课程标记为 [新]。

其中许多课程完全是自定进度的。其余的将在不同的时间开始。您可以在 2019 年晚些时候在 Class Central 的计算机科学，数据科学和编程主题页面上找到完整的技术相关课程列表。

我知道这个很长的列表，对于刚接触编程的学习者来说可能是令人生畏的。在这种情况下，您可能会发现 David Venturi 对最佳数据科学在线课程的建议很有用 – 即使您不想学习数据科学。我希望将来能够创建更多这些指南。

最后，如果您无法确定如何免费注册 Coursera 课程，请不要担心 – 我也写了一篇关于如何做到这一点的文章。

Beginner (158)

• An Introduction to Interactive Programming in Python (Part 1) from Rice University ★★★★★(2909)
• Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★★(99)
• Learn to Program: The Fundamentals from University of Toronto ★★★★★(86)
• Intro to Computer Science from University of Virginia ★★★★☆(61)
• CS50’s Introduction to Computer Science from Harvard University★★★★★(53)
• Ruby on Rails: An Introduction from Johns Hopkins University ★★★☆☆(50)
• Introduction to HTML5 from University of Michigan ★★★★☆(37)
• Internet History, Technology, and Security from University of Michigan★★★★★(35)
• Introduction to Linux from Linux Foundation ★★★★☆(34)
• How to Use Git and GitHub
• [New] Introduction to Internationalization and Localization from University of Washington
• [New] Principles of Secure Coding from University of California, Davis
• [New] Identifying Security Vulnerabilities from University of California, Davis
• [New] Introduction to R Software from Indian Institute of Technology Kanpur
• [New] Diagramas UML estructurales para la Ingeniería del Software from Universitat Politècnica de València
• [New] Object oriented analysis and design from Indian Institute of Technology, Kharagpur
• [New] AWS Fundamentals: Addressing Security Risk from Amazon Web Services
• [New] 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 Technology
• [New] Database and Content Organisation from IGNOU
• [New] Computer Networks from Devi Ahilya Viswavidyalaya, Indore
• [New] Computer Fundamentals from Devi Ahilya Viswavidyalaya, Indore
• Intro to HTML and CSS
• Introduction to VBA/Excel Programming from Cal Poly Pomona ★★★★☆(21)
• Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(14)
• Programming Basics from Indian Institute of Technology Bombay ★★☆☆☆(13)
• Computer Science 101 from Stanford University ★★★★☆(11)
• Introduction to CSS3 from University of Michigan ★★★★★(11)
• Creative Programming for Digital Media & Mobile Apps from University of London International Programmes ★★★★☆(10)
• HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(9)
• Introduction to Computer Networking from Stanford University ★★★★★(8)
• Introduction to the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(8)
• Usable Security from University of Maryland, College Park ★★★☆☆(8)
• Introduction to Bootstrap – A Tutorial from Microsoft ★★★☆☆(8)
• Code Yourself! An Introduction to Programming from University of Edinburgh★★★★☆(7)
• HTML, CSS, and Javascript for Web Developers from Johns Hopkins University★★★★★(6)
• Learn to Program: Crafting Quality Code from University of Toronto ★★★★★(6)
• Intro to Relational Databases
• Paradigms of Computer Programming – Abstraction and Concurrency from Université catholique de Louvain ★★★★☆(4)
• Paradigms of Computer Programming – Fundamentals from Université catholique de Louvain ★★★★★(4)
• Introduction to jQuery from Microsoft ★★★★☆(4)
• Programming in Scratch from Harvey Mudd College ★★★★★(4)
• How To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★★(3)
• Introduction to Programming for the Visual Arts with p5.js from University of California, Los Angeles ★★★★☆(3)
• HTML5 and CSS Fundamentals from World Wide Web Consortium (W3C)★★★★☆(3)
• Linux Command Line Basics
• The Beauty and Joy of Computing – AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)
• Object-Oriented Programming from Indian Institute of Technology Bombay★★★★☆(2)
• The Computing Technology Inside Your Smartphone from Cornell University★★★★★(2)
• Introduction to HTML and JavaScript from Microsoft ★★★★★(2)
• Think. Create. Code from University of Adelaide ★★★★★(2)
• CS For All: Introduction to Computer Science and Python Programming from Harvey Mudd College ★★★★★(2)
• Networks: Friends, Money, and Bytes from Princeton University ★★★☆☆(1)
• Programando con Java para aplicaciones Android from Universidad Nacional Autónoma de México ★★★★★(1)
• Android Basics: Make Your First App from Google ★★★★★(1)
• Computing: Art, Magic, Science from ETH Zurich ★★★★☆(1)
• MyCS: Computer Science for Beginners from Harvey Mudd College ★★★☆☆(1)
• CS50’s Web Programming with Python and JavaScript from Harvard University
• CS50’s Understanding Technology from Harvard University
• CS50’s Computer Science for Business Professionals from Harvard University
• CS50’s Mobile App Development with React Native from Harvard University
• CS50’s Introduction to Game Development from Harvard University
• Principles of Computing from Stanford University
• Hacker Tools from Massachusetts Institute of Technology
• The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
• Computational Thinking for Problem Solving from University of Pennsylvania
• The Unix Workbench from Johns Hopkins University
• Programming Fundamentals from Duke University
• Interacting with the System and Managing Memory from Duke University
• Computer Science: Programming with a Purpose from Princeton University
• Introduction to Cybersecurity from University of Washington
• Python Programming Essentials from Rice University
• Introduction to Computer Programming from University of London International Programmes
• How Computers Work from University of London International Programmes
• Software Engineering: Introduction from The University of British Columbia
• Introduction to Web Development from University of California, Davis
• Введение в базы данных from St. Petersburg State Polytechnic University
• Web Design: Strategy and Information Architecture from California Institute of the Arts
• Web Development and Design using WordPress from California Institute of the Arts
• Cyber Security Economics from Delft University of Technology
• Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
• Excel/VBA for Creative Problem Solving, Part 2 from University of Colorado Boulder
• Тонкости верстки from Moscow Institute of Physics and Technology
• Основы проектирования приложений интернета вещей from Moscow Institute of Physics and Technology
• Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore
• Monetize your Android Applications from Galileo University
• Android App Development for Beginners from Galileo University
• Java Fundamentals for Android Development from Galileo University
• AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from Purdue University
• AP Computer Science A: Java Programming Loops and Data Structures from Purdue University
• AP Computer Science A: Java Programming Classes and Objects from Purdue University
• Introduction to TCP/IP from Yonsei University
• Deep Learning for Business from Yonsei University
• Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid
• Problem Solving, Programming, and Video Games from University of Alberta
• Introduzione a LaTeX from University of Modena and Reggio Emilia
• Blockchain 360: A State of the Art for Professionals from EIT Digital
• Web Accessibility from Google
• Mobile Web Development from Google
• Technical Support Fundamentals from Google
• Introduction to Design Thinking from Microsoft
• CSS Basics from Microsoft
• Learn to Program in Java from Microsoft
• Introduction to NodeJS from Microsoft
• Writing Professional Code from Microsoft
• Object Oriented Programming in Java from Microsoft
• Logic and Computational Thinking from Microsoft
• Introduction to ReactJS from Microsoft
• How Entrepreneurs in Emerging Markets can master the Blockchain Technology from University of Cape Town
• C Programming: Modular Programming and Memory Management from Dartmouth
• C Programming: Using Linux Tools and Libraries from Dartmouth
• Linux Basics: The Command Line Interface from Dartmouth
• C Programming: Advanced Data Types from Dartmouth
• C Programming: Language Foundations from Institut Mines-Télécom
• C Programming: Getting Started from Dartmouth
• C Programming: Pointers and Memory Management from Dartmouth
• Software Design as an Element of the Software Development Lifecycle from University of Colorado System
• Software Design as an Abstraction from University of Colorado System
• Software Design Methods and Tools from University of Colorado System
• Proactive Computer Security from University of Colorado System
• Introduction to Cybersecurity for Business from University of Colorado System
• Computing: Art, Magic, Science – Part II from ETH Zurich
• TCP/IP and Advanced Topics from University of Colorado System
• Introduction to Open Source Networking Technologies from Linux Foundation
• Blockchain: Understanding Its Uses and Implications from Linux Foundation
• Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid
• Mobile Computing with App Inventor – CS Principles from The University of Warwick
• Introduction to the Internet of Things (IoT) from Curtin University
• Software Engineering Essentials from Technische Universität München (Technical University of Munich)
• Cyber Attack Countermeasures from New York University (NYU)
• Web Security Fundamentals from KU Leuven University
• Introduction to Cyber Attacks from New York University (NYU)
• Базы данных (Databases) from Saint Petersburg State University
• Arduino Programming, from novice to ninja from Institut Mines-Télécom
• Video Game Design and Balance from Rochester Institute of Technology
• Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de Chile
• Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo
• Introdução à Ciência da Computação com Python Parte 2 from Universidade de São Paulo
• Programación Orientada a Objetos from MéxicoX
• Computing Form and Shape: Python Programming with the Rhinoscript Libraryfrom Rhode Island School of Design
• Introduction to MongoDB from MongoDB University
• Programación Orientada a Objetos con Python from Universidad Austral
• Diseñando páginas web con Bootstrap 4 from Universidad Austral
• Web Applications for Everybody
• Introduction to Virtual Reality
• Swift for Beginners
• Version Control with Git from Atlassian
• Elements of AI from University of Helsinki
• Android for Beginners
• HTTP & Web Servers
• Network Protocols and Architecture from Cisco
• GitHub & Collaboration
• ES6 – JavaScript Improved
• Learn Swift Programming Syntax
• Home Networking Basics from Cisco
• Data Communications and Network Services from Cisco
• Internet Connection: How to Get Online? from Cisco
• Introduction to Cisco Networking from Cisco
• Version Control with Git

Intermediate (377)

• Machine Learning from Stanford University ★★★★★(261)
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(60)
• Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(58)
• Algorithms, Part I from Princeton University ★★★★☆(49)
• Cryptography I from Stanford University ★★★★★(45)
• Programming Mobile Applications for Android Handheld Systems: Part 1 from University of Maryland, College Park ★★★★☆(38)
• CS188.1x: Artificial Intelligence from University of California, Berkeley★★★★★(30)
• Principles of Computing (Part 1) from Rice University ★★★★★(26)
• [New] Human-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of Technology
• [New] Human-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of Technology
• [New] Human-Computer Interaction III: Ethics, Needfinding & Prototypingfrom Georgia Institute of Technology
• [New] Human-Computer Interaction IV: Evaluation, Agile Methods & Beyondfrom Georgia Institute of Technology
• [New] Practical Machine Learning with Tensorflow from Google
• [New] Identifying Security Vulnerabilities in C/C++Programming from University of California, Davis
• [New] Introduction to parallel Programming in Open MP from Indian Institute of Technology Delhi
• [New] Open Infrastructure to Support the 5G Transition from Linux Foundation
• [New] Business Considerations for Modernizing Networks for 5G, IoT and AIfrom Linux Foundation
• [New] Inclusion and Technology Design from Indian Institute of Technology Bangalore
• Practical Machine Learning from Johns Hopkins University ★★★☆☆(22)
• Software Security from University of Maryland, College Park ★★★★★(22)
• Algorithms, Part II from Princeton University ★★★★★(21)
• Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(21)
• Agile Development Using Ruby on Rails – The Basics from University of California, Berkeley ★★★★★(19)
• Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(19)
• Automata Theory from Stanford University ★★★★☆(17)
• C++ For C Programmers, Part A from University of California, Santa Cruz★★★☆☆(16)
• Principles of Computing (Part 2) from Rice University ★★★★☆(15)
• Programming Mobile Applications for Android Handheld Systems: Part 2 from University of Maryland, College Park ★★★★☆(15)
• The Nature of Code from Processing Foundation ★★★★★(15)
• Algorithmic Thinking (Part 1) from Rice University ★★★★☆(14)
• Design of Computer Programs from Stanford University ★★★★☆(13)
• Intro to Machine Learning from Stanford University ★★★★☆(12)
• Algorithmic Toolbox from University of California, San Diego ★★★★☆(12)
• Discrete Optimization from University of Melbourne ★★★★☆(12)
• Responsive Web Design from University of London International Programmes★★★☆☆(11)
• Introduction to Game Development from Michigan State University★★★★☆(11)
• Introduction to Functional Programming from Delft University of Technology★★★★☆(11)
• Interactivity with JavaScript from University of Michigan ★★★★☆(10)
• Introduction to Software Product Management from University of Alberta★★★★☆(10)
• Android Development for Beginners from Google ★★★★☆(10)
• The Arduino Platform and C Programming from University of California, Irvine★★★☆☆(9)
• Algorithmic Thinking (Part 2) from Rice University ★★★★☆(9)
• Programming Languages from University of Virginia ★★★☆☆(9)
• Software Processes and Agile Practices from University of Alberta ★★★★☆(9)
• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(8)
• Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(8)
• Cryptography from University of Maryland, College Park ★★★★☆(8)
• Advanced Styling with Responsive Design from University of Michigan★★★★☆(7)
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign ★★★☆☆(7)
• Software Testing from University of Utah ★★★★☆(7)
• Internet of Things: How did we get here? from University of California, San Diego★★☆☆☆(6)
• Introduction To Swift Programming from University of Toronto ★☆☆☆☆(6)
• Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★☆(6)
• Client Needs and Software Requirements from University of Alberta★★★★☆(6)
• Responsive Web Design Fundamentals from Google ★★★★☆(6)
• Intro to AJAX
• Agile Development Using Ruby on Rails – Advanced from University of California, Berkeley ★★★★★(5)
• Ruby on Rails Web Services and Integration with MongoDB from Johns Hopkins University ★★★★★(5)
• Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(5)
• Data Structures and Performance from University of California, San Diego★★★★★(5)
• Computer Graphics from University of California, San Diego ★★★★☆(5)
• Introduction to Meteor.js Development from University of London International Programmes ★★★★★(5)
• Web Application Development with JavaScript and MongoDB from University of London International Programmes ★★★★☆(5)
• How to Code: Simple Data from The University of British Columbia ★★★★☆(5)
• Developing Android Apps from Google ★★★★☆(5)
• Julia Scientific Programming from University of Cape Town ★★★★★(5)
• Data Wrangling with MongoDB from MongoDB University ★★★★☆(5)
• Intro to DevOps from Nutanix ★★★☆☆(5)
• Intro to iOS App Development with Swift
• Parallel Programming Concepts
• Interfacing with the Arduino from University of California, Irvine ★★★★☆(4)
• Algorithms on Strings from University of California, San Diego ★★★☆☆(4)
• Computer Architecture from Princeton University ★★★★★(4)
• Analysis of Algorithms from Princeton University ★★★★★(4)
• Computer Networking from Georgia Institute of Technology ★★★★☆(4)
• Software Development Process from Georgia Institute of Technology★★★☆☆(4)
• Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(4)
• HTML5 Game Development from Google ★★★☆☆(4)
• Website Performance Optimization from Google ★★★★☆(4)
• Practical Numerical Methods with Python from George Washington University★★★★☆(4)
• Database Management Essentials from University of Colorado System★★★★☆(4)
• Interactive Computer Graphics from The University of Tokyo ★★☆☆☆(4)
• Software Debugging from Saarland University ★★★★★(4)
• Software Construction in Java from Massachusetts Institute of Technology★★★★★(3)
• The Raspberry Pi Platform and Python Programming for the Raspberry Pi from University of California, Irvine ★★★★☆(3)
• Foundations of Objective-C App Development from University of California, Irvine ★★★☆☆(3)
• Data Structures from University of California, San Diego ★★★☆☆(3)
• Networks Illustrated: Principles without Calculus from Princeton University★★★★☆(3)
• VLSI CAD Part I: Logic from University of Illinois at Urbana-Champaign★★★★★(3)
• Internet of Things: Setting Up Your DragonBoard™ Development Platformfrom University of California, San Diego ★★★☆☆(3)
• Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
• DevOps for Developers: How to Get Started from Microsoft ★★★★☆(3)
• Querying Data with Transact-SQL from Microsoft ★★★★☆(3)
• Autonomous Mobile Robots from ETH Zurich ★★★☆☆(3)
• Intro to Algorithms
• Compilers from Stanford University ★★★★☆(2)
• Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
• Rails with Active Record and Action Pack from Johns Hopkins University★★★★☆(2)
• Algorithms on Graphs from University of California, San Diego ★★★★☆(2)
• Advanced Data Structures in Java from University of California, San Diego★★★★☆(2)
• Internet of Things: Communication Technologies from University of California, San Diego ★★★☆☆(2)
• App Design and Development for iOS from University of Toronto ★★★☆☆(2)
• iOS App Development Basics from University of Toronto ★★★★☆(2)
• Game Development for Modern Platforms from Michigan State University★★★★★(2)
• Introduction to Mobile Application Development using Android from The Hong Kong University of Science and Technology ★★★★☆(2)
• Agile Planning for Software Products from University of Alberta ★★★☆☆(2)
• Browser Rendering Optimization from Google ★★★★☆(2)
• UX Design for Mobile Developers from Google ★★★★★(2)
• Developing International Software, Part 1 from Microsoft ★★★★☆(2)
• Analyzing and Visualizing Data with Power BI from Microsoft ★★★★★(2)
• Agile Software Development from ETH Zurich ★★★★★(2)
• Build Your First Android App (Project-Centered Course) from École Centrale Paris ★★★☆☆(2)
• Approximation Algorithms Part I from École normale supérieure ★★★★★(2)
• JavaScript Testing
• Full Stack Foundations
• Configuring Linux Web Servers
• Single Page Web Applications with AngularJS from Johns Hopkins University★★★★★(1)
• Best Practices for iOS User Interface Design from University of California, Irvine★★★★★(1)
• Interfacing with the Raspberry Pi from University of California, Irvine★☆☆☆☆(1)
• Machine Learning: Unsupervised Learning from Brown University ★★★★☆(1)
• Advanced Algorithms and Complexity from University of California, San Diego★★★☆☆(1)
• Software Architecture & Design from Georgia Institute of Technology★★★★★(1)
• Responsive Website Tutorial and Examples from University of London International Programmes ★★★★★(1)
• Managing an Agile Team from University of Virginia ★★☆☆☆(1)
• MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★☆☆☆☆(1)
• Web Application Development: Basic Concepts from University of New Mexico★★★★☆(1)
• Android: Introducción a la Programación from Universitat Politècnica de València★★★★☆(1)
• Algorithms from Indian Institute of Technology Bombay ★★★★★(1)
• Developing Scalable Apps in Python from Google ★★★★☆(1)
• Android Basics: Multiscreen Apps from Google ★★★★☆(1)
• Gradle for Android and Java from Google ★★★★★(1)
• Developing Scalable Apps in Java from Google ★★★★☆(1)
• Google Cloud Platform Fundamentals: Core Infrastructure from Google★★★★☆(1)
• JavaScript Promises from Google ★★★★★(1)
• Principles of Machine Learning from Microsoft ★★★★★(1)
• 用 Python 玩转数据 Data Processing Using Python from Nanjing University★★★★★(1)
• Cybersecurity and Mobility from University System of Georgia ★☆☆☆☆(1)
• Design and Analysis of Algorithms from Chennai Mathematical Institute★★★☆☆(1)
• Technical Interview from Pramp ★★★★★(1)
• HTML5 Apps and Games from World Wide Web Consortium (W3C) ★★★☆☆(1)
• Intro to Theoretical Computer Science
• Networking for Web Developers
• Using Python for Research from Harvard University
• Algorithms: Design and Analysis from Stanford University
• Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University
• Probabilistic Graphical Models 3: Learning from Stanford University
• Algorithms: Design and Analysis, Part 2 from Stanford University
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Themfrom Stanford University
• Graph Search, Shortest Paths, and Data Structures from Stanford University
• Language, Proof and Logic from Stanford University
• Mobile Application Experiences from Massachusetts Institute of Technology
• Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology
• Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology
• Advanced Software Construction in Java from Massachusetts Institute of Technology
• Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology
• Foundations of Data Science: Prediction and Machine Learning from University of California, Berkeley
• Blockchain Technology from University of California, Berkeley
• Bitcoin and Cryptocurrencies from University of California, Berkeley
• Data Structures and Software Design from University of Pennsylvania
• Algorithm Design and Analysis from University of Pennsylvania
• Software Development Fundamentals from University of Pennsylvania
• Introduction to Neurohacking In R from Johns Hopkins University
• Networking and Security in iOS Applications from University of California, Irvine
• Toward the Future of iOS Development with Swift from University of California, Irvine
• Games, Sensors and Media from University of California, Irvine
• Java Programming: Build a Recommendation System from Duke University
• Introduction to Machine Learning from Duke University
• Computer Science: Algorithms, Theory, and Machines from Princeton University
• Introduction to Graduate Algorithms from Georgia Institute of Technology
• Software Analysis & Testing from Georgia Institute of Technology
• Database Systems Concepts & Design from Georgia Institute of Technology
• Database Systems Concepts and Design from Georgia Institute of Technology
• Animation and CGI Motion from Columbia University
• Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign
• Internet of Things: Sensing and Actuation From Devices from University of California, San Diego
• Data Structures: An Active Learning Approach from University of California, San Diego
• How Virtual Reality Works from University of California, San Diego
• Minecraft, Coding and Teaching from University of California, San Diego
• Graph Algorithms from University of California, San Diego
• Data Structures Fundamentals from University of California, San Diego
• String Processing and Pattern Matching Algorithms from University of California, San Diego
• Machine Learning Fundamentals from University of California, San Diego
• Algorithmic Design and Techniques from University of California, San Diego
• Creating Virtual Reality (VR) Apps from University of California, San Diego
• Building a Cybersecurity Toolkit from University of Washington
• Finding Your Cybersecurity Career Path from University of Washington
• Programming Languages, Part C from University of Washington
• Cybersecurity: The CISO’s View from University of Washington
• Programming Languages, Part B from University of Washington
• Mathematics for Computer Science from University of London International Programmes
• Blockchain Basics from University at Buffalo
• Blockchain Platforms from University at Buffalo
• Decentralized Applications (Dapps) from University at Buffalo
• Smart Contracts from University at Buffalo
• 算法设计与分析 Design and Analysis of Algorithms from Peking University
• 面向对象技术高级课程（The Advanced Object-Oriented Technology）from Peking University
• How to Code: Complex Data from The University of British Columbia
• Software Construction: Object-Oriented Design from The University of British Columbia
• Software Construction: Data Abstraction from The University of British Columbia
• Testing with Agile from University of Virginia
• Running Product Design Sprints from University of Virginia
• NoSQL Database Systems from Arizona State University
• Moving to the Cloud from University of Melbourne
• SQL for Data Science from University of California, Davis
• LAFF – On Programming for Correctness from The University of Texas at Austin
• Документы и презентации в LaTeX (Introduction to LaTeX) from Higher School of Economics
• Software Development Processes and Methodologies from University of Minnesota
• Agile Software Development from University of Minnesota
• Lean Software Development from University of Minnesota
• Android App Components – Services, Local IPC, and Content Providers from Vanderbilt University
• Engineering Maintainable Android Apps from Vanderbilt University
• Java for Android from Vanderbilt University
• Android App Components – Intents, Activities, and Broadcast Receivers from Vanderbilt University
• Developing Android Apps with App Inventor from The Hong Kong University of Science and Technology
• Front-End Web Development with React from The Hong Kong University of Science and Technology
• Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology
• Front-End JavaScript Frameworks: Angular from The Hong Kong University of Science and Technology
• Multiplatform Mobile App Development with NativeScript from The Hong Kong University of Science and Technology
• Front-End Web UI Frameworks and Tools: Bootstrap 4 from The Hong Kong University of Science and Technology
• Multiplatform Mobile App Development with React Native from The Hong Kong University of Science and Technology
• Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova from The Hong Kong University of Science and Technology
• Global Software Development from Delft University of Technology
• Automated Software Testing: Model and State-based Testing from Delft University of Technology
• Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability from Delft University of Technology
• Быстрый старт в разработке Android-приложений from Moscow Institute of Physics and Technology
• Основы HTML и CSS from Moscow Institute of Physics and Technology
• Введение в iOS-разработку from Moscow Institute of Physics and Technology
• Building Arduino robots and devices from Moscow Institute of Physics and Technology
• Разработка веб-сервисов на Golang, часть 2 from Moscow Institute of Physics and Technology
• NoSQL systems from Universidad Nacional Autónoma de México
• Relational database systems from Universidad Nacional Autónoma de México
• Fundamentos de Android from Universidad Nacional Autónoma de México
• Implementation of Data Structures from Indian Institute of Technology Bombay
• Foundations of Data Structures from Indian Institute of Technology Bombay
• Professional Android App Development from Galileo University
• Сетевое администрирование: от теории к практике from Tsinghua University
• Enterprise Software Lifecycle Management from National Research Nuclear University MEPhI
• Использование механизмов операционных систем в разработке программного обеспечения from National Research Nuclear University MEPhI
• Cloud Computing from Indian Institute of Technology, Kharagpur
• The Software Architect Code: Building the Digital World from Universidad Carlos iii de Madrid
• Introduction to Java Programming: Fundamental Data Structures and Algorithms from Universidad Carlos iii de Madrid
• Reviews & Metrics for Software Improvements from University of Alberta
• Object-Oriented Design from University of Alberta
• Software Architecture from University of Alberta
• Service-Oriented Architecture from University of Alberta
• Design Patterns from University of Alberta
• Web Connectivity and Security in Embedded Systems from EIT Digital
• Introduction to Architecting Smart IoT Devices from EIT Digital
• Software Architecture for the Internet of Things from EIT Digital
• Architecting Smart IoT Devices from EIT Digital
• Android Basics: Networking from Google
• Scalable Microservices with Kubernetes from Google
• Developing Android Apps with Kotlin from Google
• Intro to Progressive Web Apps from Google
• Google Maps APIs from Google
• Android Basics: User Input from Google
• VR Software Development from Google
• Firebase Essentials For Android from Google
• Material Design for Android Developers from Google
• Offline Web Applications from Google
• Advanced Android App Development from Google
• Client-Server Communication from Google
• Intro to Data Structures and Algorithms from Google
• Android Performance from Google
• Android Basics: User Interface from Google
• Google Cloud Platform Fundamentals for AWS Professionals from Google Cloud
• Android Basics: Button Clicks from Google
• Applied Machine Learning from Microsoft
• Introduction to TypeScript 2 from Microsoft
• Advanced CSS Concepts from Microsoft
• Optimizing Performance for SQL Based Applications from Microsoft
• Building Functional Prototypes using Node.js from Microsoft
• Developing Intelligent Apps and Bots from Microsoft
• Designing Data Platform Solutions from Microsoft
• AngularJS: Advanced Framework Techniques from Microsoft
• Creating Programmatic SQL Database Objects from Microsoft
• Implementing In-Memory SQL Database Objects from Microsoft
• Application Design Considerations: An Inclusive Approach from Microsoft
• Introduction to C# from Microsoft
• Algorithms and Data Structures from Microsoft
• Developing SQL Databases from Microsoft
• Building Interactive Prototypes using JavaScript from Microsoft
• AngularJS: Framework Fundamentals from Microsoft
• Algorithms and Data Structures in C# from Microsoft
• Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem
• Programmation iOS (partie I) from Sorbonne Universités
• Programmation iOS (partie II) from Sorbonne Universités
• Introduction to Data Structures from University of Adelaide
• Fundamentals of Machine Learning from Santa Fe Institute
• Introduction to Computation Theory from Santa Fe Institute
• Cloud Computing Security from University of Colorado System
• Detecting and Mitigating Cyber Threats and Attacks from University of Colorado System
• Introduction to Web Cartography: Part 1 from ETH Zurich
• Symmetric Cryptography from University of Colorado System
• Packet Switching Networks and Algorithms from University of Colorado System
• Asymmetric Cryptography and Key Management from University of Colorado System
• Fundamentals of Network Communication from University of Colorado System
• Hacking and Patching from University of Colorado System
• Peer-to-Peer Protocols and Local Area Networks from University of Colorado System
• Design and Analyze Secure Networked Systems from University of Colorado System
• SRS Documents: Requirements and Diagrammatic Notations from University of Colorado System
• Intermediate Object-Oriented Programming for Unity Games from University of Colorado System
• Linux Server Management and Security from University of Colorado System
• Requirements Specifications: Goals and Conflict Analysis from University of Colorado System
• Introduction to C# Programming and Unity from University of Colorado System
• Requirements Gathering for Secure Software Development from University of Colorado System
• More C# Programming and Unity from University of Colorado System
• Homeland Security & Cybersecurity Connection – It’s Not About the Terroristsfrom University of Colorado System
• Requirements Elicitation: Artifact and Stakeholder Analysis from University of Colorado System
• Software Design Threats and Mitigations from University of Colorado System
• Data Structures and Design Patterns for Game Developers from University of Colorado System
• Software Requirements Prioritization: Risk Analysis from University of Colorado System
• Basic Cryptography and Programming with Crypto API from University of Colorado System
• Introduction to DevOps: Transforming and Improving Operations from Linux Foundation
• Machine Learning for Musicians and Artists from Goldsmiths, University of London
• Introduction to Cloud Infrastructure Technologies from Linux Foundation
• 2D Game Development with libGDX from Amazon
• Introduction to Kubernetes from Linux Foundation
• Cybersecurity and the X-Factor from University System of Georgia
• Cybersecurity and the Internet of Things from University System of Georgia
• Cybersecurity and Privacy in the IoT from Curtin University
• Mobile Design and Usability for Android from Facebook
• Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
• IoT System Architecture: Design and Evaluation from Waseda University
• Mobile Design and Usability for iOS from Facebook
• Orientação a Objetos com Java from Instituto Tecnológico de Aeronáutica
• Guided Tour of Machine Learning in Finance from New York University (NYU)
• Network Security from Rochester Institute of Technology
• Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU)
• Cybersecurity Risk Management from Rochester Institute of Technology
• Computer Forensics from Rochester Institute of Technology
• Teamwork & Collaboration from Rochester Institute of Technology
• Cybersecurity Fundamentals from Rochester Institute of Technology
• Advanced Algorithmics and Graph Theory with Python from Institut Mines-Télécom
• UML Class Diagrams for Software Engineering from KU Leuven University
• Fundamentals of Machine Learning in Finance from New York University (NYU)
• Real-Time Cyber Threat Detection and Mitigation from New York University (NYU)
• Gameplay Programming for Video Game Designers from Rochester Institute of Technology
• Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science
• Introdução ao Teste de Software from Universidade de São Paulo
• Основы программирования мобильных приложений для Androidfrom ITMO University
• Concurrency from AdaCore University
• How to Win Coding Competitions: Secrets of Champions from ITMO University
• Formal Software Verification from University System of Maryland
• Cloud Computing Infrastructure from University System of Maryland
• Software Testing Management from University System of Maryland
• Cloud Computing Management from University System of Maryland
• Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux from Universidad Austral
• Software Testing Fundamentals from University System of Maryland
• Cloud Computing for Enterprises from University System of Maryland
• SQL for Data Analysis
• Deploying Applications with Heroku
• Hacker101 from HackerOne
• VR Scenes and Objects
• Designing RESTful APIs
• VR Platforms & Applications
• Swift for Developers
• Fundamentals of Parallelism on Intel Architecture from Intel
• VR Design
• Intro to TensorFlow for Deep Learning
• iOS Persistence and Core Data
• How to Make an iOS App
• Android Basics: Data Storage
• Foundations of Machine Learning from Bloomberg
• iOS Networking with Swift
• Fundamentals of Red Hat Enterprise Linux from Red Hat
• UIKit Fundamentals
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red Hat
• Introduction: Elements of Microgame Design from Worcester Polytechnic Institute
• Learn Backbone.js
• Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario
• Dynamic Web Applications with Sinatra
• Developing Android Apps
• An Introduction to Practical Deep Learning from Intel
• iOS Design Patterns
• Building iOS Interfaces
• How to create in Android

Advanced (139)

• Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(38)
• [New] Sample-based Learning Methods from University of Alberta
• [New] Fundamentals of Reinforcement Learning from University of Alberta
• Machine Learning: Regression from University of Washington ★★★★★(18)
• Machine Learning for Data Science and Analytics from Columbia University★★★☆☆(15)
• Probabilistic Graphical Models 1: Representation from Stanford University★★★★☆(14)
• Intro to Deep Learning from Google ★★☆☆☆(13)
• Creative Applications of Deep Learning with TensorFlow
• Machine Learning With Big Data from University of California, San Diego★★☆☆☆(12)
• Machine Learning for Trading from Georgia Institute of Technology ★★★☆☆(11)
• Hardware Security from University of Maryland, College Park ★★★☆☆(11)
• Bitcoin and Cryptocurrency Technologies from Princeton University★★★★☆(10)
• Introduction to Artificial Intelligence from Stanford University ★★★★★(9)
• Computational Neuroscience from University of Washington ★★★★☆(8)
• Reinforcement Learning from Brown University ★★☆☆☆(6)
• Machine Learning: Classification from University of Washington ★★★★★(6)
• Intro to Parallel Programming from Nvidia ★★★★☆(6)
• Advanced Operating Systems from Georgia Institute of Technology ★★★★★(5)
• Enabling Technologies for Data Science and Analytics: The Internet of Thingsfrom Columbia University ★☆☆☆☆(5)
• Interactive 3D Graphics from Autodesk ★★★★★(5)
• Machine Learning from Georgia Institute of Technology ★★★★★(4)
• Applied Cryptography from University of Virginia ★★★★☆(4)
• Parallel programming from École Polytechnique Fédérale de Lausanne★★★★☆(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)
• Machine Learning: Clustering & Retrieval 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)
• Nearest Neighbor Collaborative Filtering from University of Minnesota★★☆☆☆(2)
• High Performance Computer Architecture from Georgia Institute of Technology★★★★★(1)
• Computability, Complexity & Algorithms from Georgia Institute of Technology★★★★★(1)
• Computational Photography from Georgia Institute of Technology ★★★★☆(1)
• Introduction to Operating Systems from Georgia Institute of Technology★★★★★(1)
• Artificial Intelligence (AI) from Columbia University ★☆☆☆☆(1)
• Cloud Computing Applications, Part 2: Big Data and Applications in the Cloudfrom University of Illinois at Urbana-Champaign ★★★★☆(1)
• Relational Database Support for Data Warehouses from University of Colorado System ★★☆☆☆(1)
• Practical Deep Learning For Coders, Part 1 from fast.ai ★★★★★(1)
• Real-Time Audio Signal Processing in Faust from Stanford University
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from deeplearning.ai
• Convolutional Neural Networks from deeplearning.ai
• 6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology
• 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology
• Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
• Applied Machine Learning in Python from University of Michigan
• Machine Learning from Georgia Institute of Technology
• Compilers: Theory and Practice from Georgia Institute of Technology
• Network Security from Georgia Institute of Technology
• Cyber-Physical Systems Security from Georgia Institute of Technology
• GT – Refresher – Advanced OS from Georgia Institute of Technology
• High Performance Computing from Georgia Institute of Technology
• Artificial Intelligence from Georgia Institute of Technology
• Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology
• Machine Learning from Georgia Institute of Technology
• Intro to Information Security from Georgia Institute of Technology
• Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
• Machine Learning from Columbia University
• NP-Complete Problems from University of California, San Diego
• Parallel Programming in Java from Rice University
• Concurrent Programming in Java from Rice University
• Distributed Programming in Java from Rice University
• Information Security: Context and Introduction from University of London International Programmes
• Quantum Machine Learning from University of Toronto
• State Estimation and Localization for Self-Driving Cars from University of Toronto
• Basic Modeling for Discrete Optimization from University of Melbourne
• Advanced Modeling for Discrete Optimization from University of Melbourne
• Solving Algorithms for Discrete Optimization from University of Melbourne
• MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
• Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne
• Обработка изображений from Higher School of Economics
• Методы и средства защиты информации from Higher School of Economics
• Deep Learning in Computer Vision from Higher School of Economics
• Менеджмент информационной безопасности from Higher School of Economics
• Introduction to Formal Concept Analysis from Higher School of Economics
• Practical Reinforcement Learning from Higher School of Economics
• Addressing Large Hadron Collider Challenges by Machine Learning from Higher School of Economics
• Introduction to Deep Learning from Higher School of Economics
• Bayesian Methods for Machine Learning from Higher School of Economics
• Matrix Factorization and Advanced Techniques from University of Minnesota
• Recommender Systems: Evaluation and Metrics from University of Minnesota
• Introduction to Recommender Systems: Non-Personalized and Content-Basedfrom University of Minnesota
• Embedded Software and Hardware Architecture from University of Colorado Boulder
• Modeling and Debugging Embedded Systems from University of Colorado Boulder
• Razonamiento artificial from Universidad Nacional Autónoma de México
• Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México
• 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence – Search & Logic) from National Taiwan University
• 機器學習基石下 (Machine Learning Foundations)—Algorithmic Foundationsfrom National Taiwan University
• 大数据机器学习 |Big Data Machine Learning from Tsinghua University
• Discrete Mathematics from Shanghai Jiao Tong University
• Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV from Universidad Carlos iii de Madrid
• System Validation (4): Modelling Software, Protocols, and other behaviourfrom EIT Digital
• System Validation (2): Model process behaviour from EIT Digital
• System Validation: Automata and behavioural equivalences from EIT Digital
• System Validation (3): Requirements by modal formulas from EIT Digital
• Embedded Hardware and Operating Systems from EIT Digital
• Approximation Algorithms from EIT Digital
• Learn TensorFlow and deep learning, without a Ph.D. from Google
• Machine Learning Crash Course with TensorFlow APIs from Google
• Infrastructure as Code from Microsoft
• Deep Learning Explained from Microsoft
• DevOps for Databases from Microsoft
• Introduction to Artificial Intelligence (AI) from Microsoft
• DevOps Practices and Principles from Microsoft
• DevOps Testing from Microsoft
• Sparse Representations in Signal and Image Processing: Fundamentals from Technion – Israel Institute of Technology
• Sparse Representations in Image Processing: From Theory to Practice from Technion – Israel Institute of Technology
• Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
• Statistical Machine Learning from Carnegie Mellon University
• Cryptographic Hash and Integrity Protection from University of Colorado System
• Cryptography and Information Theory from University of Colorado System
• Classical Cryptosystems and Core Concepts from University of Colorado System
• Introduction to Hyperledger Blockchain Technologies from Linux Foundation
• Introduction to OpenStack from Linux Foundation
• Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation
• Approximation Algorithms Part II from École normale supérieure
• Mathematics for Machine Learning: Multivariate Calculus from Imperial College London
• Mathematics for Machine Learning: PCA from Imperial College London
• Reliable Distributed Algorithms, Part 2 from KTH Royal Institute of Technology
• Mathematics for Machine Learning: Linear Algebra from Imperial College London
• Multi-Object Tracking for Automotive Systems from Chalmers University of Technology
• Computer System Design: Advanced Concepts of Modern Microprocessorsfrom Chalmers University of Technology
• Deep Learning with Python and PyTorch from IBM
• Deep Learning with Tensorflow from IBM
• Reinforcement Learning in Finance from New York University (NYU)
• Deep Learning for Natural Language Processing from University of Oxford
• Cutting Edge Deep Learning For Coders, Part 2 from fast.ai
• Cloud Computing Security from University System of Maryland
• Introduction to Machine Learning for Coders! from fast.ai
• Convolutional Neural Networks in TensorFlow from deeplearning.ai
• Natural Language Processing in TensorFlow from deeplearning.ai
• Deep Learning Summer School
• Continuous Integration and Deployment
• Access Controls from (ISC)²
• Big Data Applications: Machine Learning at Scale from Yandex
• Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²
• Security Operations and Administration from (ISC)²
• Networks and Communications Security from (ISC)²
• Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai
• Systems and Application Security from (ISC)²