650多門免費線上程式和計算機科學課程，您可以在今年五月開始

八年前，麻省理工學院和史丹福大學等大學首先向公眾開放了免費的在線課程。如今，全球有近1000所學校創建了數千種免費的在線課程，通常被稱為“ 大規模開放在線課程”或“ MOOC”。

我已經整理了這份清單，列出了650多種您可以在本月開始的免費在線課程。為此，我利用了Class Central的15,000多個在線課程的數據庫。我還列出了每門課程的平均評分。

我已根據其難度將這些課程分為以下幾類：

• 初學者
• 中間
• 高級

首次提供的課程標記為[NEW]。

這些課程中有許多是完全自定進度的。其餘的將在全年的不同時間開始。您可以在2020年下半年開始在Class Central的Computer Science，Data Science和Programming主題頁面上找到與技術相關的課程的完整列表。

我理解這很長的清單，對於剛接觸編程的學習者來說可能會令人生畏。在這種情況下，即使您不想學習數據科學，您也可能會發現David Venturi關於最佳數據科學在線課程的建議很有用。我希望將來能創建更多這些指南。

最後，如果您在確定如何免費註冊Coursera課程方面遇到麻煩，請不要擔心-我也寫了一篇有關如何做到這一點的文章。

Beginner (184)

• An Introduction to Interactive Programming in Python (Part 1) from Rice University ★★★★★(3194)
• Elements of AI from University of Helsinki ★★★★★(437)
• Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★☆(123)
• Learn to Program: The Fundamentals from University of Toronto ★★★★★(105)
• CS50’s Introduction to Computer Science from Harvard University ★★★★★(86)
• Ruby on Rails: An Introduction from Johns Hopkins University ★★★☆☆(56)
• Unlocking Information Security: Part Ⅰ from Tel Aviv University ★★★★★(50)
• Introduction to HTML5 from University of Michigan ★★★★☆(43)
• Internet History, Technology, and Security from University of Michigan ★★★★★(39)
• Introduction to Linux from Linux Foundation ★★★★☆(37)
• Intro to HTML and CSS
• Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(25)
• Web 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)
• HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(16)
• Introduction to CSS3 from University of Michigan ★★★★★(13)
• 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 the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(12)
• Unlocking Information Security: Part ⅠⅠ from Tel Aviv University ★★★★★(12)
• HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(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)
• Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(9)
• Computational Social Science Methods from University of California, Davis ★★★★★(9)
• Usable Security from University of Maryland, College Park ★★★☆☆(9)
• Diagramas UML estructurales para la Ingeniería del Software from Universitat Politècnica de València ★★★★★(9)
• Introduction to Bootstrap – A Tutorial from Microsoft ★★★☆☆(9)
• Code Yourself! An Introduction to Programming from University of Edinburgh ★★★★★(8)
• Linux Command Line Basics
• Intro to Relational Databases
• CS50’s Web Programming with Python and JavaScript from Harvard University ★★★★★(6)
• How To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★☆(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)
• Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(4)
• Technical Support Fundamentals from Google ★★☆☆☆(4)
• Programming in Scratch from Harvey Mudd College ★★★★★(4)
• Version Control with Git from Atlassian ★★★★★(4)
• CS50’s Computer Science for Business Professionals from Harvard University ★★★★★(3)
• Networks: Friends, Money, and Bytes from Princeton University ★★★★☆(3)
• 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)
• C Programming: Modular Programming and Memory Management from Dartmouth ★★★☆☆(3)
• Learn to Program in Java from Microsoft ★★★★★(3)
• CS50’s Introduction to Game Development from Harvard University ★★★★★(2)
• CS50’s Understanding Technology from Harvard University ★★★★★(2)
• 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 Web Development from University of California, Davis ★★★★☆(2)
• Web Design: Strategy and Information Architecture from California Institute of the Arts ★★★★★(2)
• Introduzione all’informatica from University of Naples Federico II ★★★★★(2)
• Problem Solving, Python Programming, and Video Games from University of Alberta ★★★★★(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: Pointers and Memory Management from Dartmouth ★★★★★(2)
• Getting Started with AWS Machine Learning from Amazon Web Services ★★☆☆☆(2)
• Think. Create. Code. from University of Adelaide ★★★★★(2)
• The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(2)
• Introduction to HTML and JavaScript from Microsoft ★★★★★(2)
• Introduction to NodeJS from Microsoft ★★★★★(2)
• Logic and Computational Thinking 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 Everybody
• Version Control with Git
• CS50’s Mobile App Development with React Native from Harvard University ★★★★☆(1)
• CS50 for Lawyers from Harvard University ★★★★★(1)
• CS50’s AP® Computer Science Principles from Harvard University ★★★★★(1)
• Introduction to Structured Query Language (SQL) from University of Michigan ★★★★★(1)
• Building Database Applications in PHP from University of Michigan ★★★★★(1)
• Introduction to Virtual Reality from University of London International Programmes ★★★★★(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)
• Cyber Security Economics from Delft University of Technology ★★☆☆☆(1)
• Introduction à la programmation orientée objet (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
• C Programming: Language Foundations from Institut Mines-Télécom ★★★★★(1)
• C Programming: Using Linux Tools and Libraries from Dartmouth ★★★★★(1)
• Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo ★★★★★(1)
• Creative Coding from New York University (NYU) ★★★★☆(1)
• Computing: Art, Magic, Science from ETH Zurich ★★★★☆(1)
• Lernen objekt-orientierter Programmierung from Technische Universität München (Technical University of Munich) ★★★★★(1)
• Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de Chile ★★★★★(1)
• C for Everyone: Programming Fundamentals from University of California, Santa Cruz ★★★★☆(1)
• Internet Connection: How to Get Online? from Cisco ★★★★☆(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)
• ES6 – JavaScript Improved
• CS50’s Introduction to Artificial Intelligence with Python from Harvard University
• Principles of Computing from Stanford University
• Hacker Tools from Massachusetts Institute of Technology
• Cryptocurrency and Blockchain: An Introduction to Digital Currencies from University of Pennsylvania
• Computational Thinking for Problem Solving from University of Pennsylvania
• JavaScript, jQuery, and JSON from University of Michigan
• The Blockchain System from University of California, Irvine
• The Blockchain from University of California, Irvine
• The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 4 from University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 3 from University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 1 from University of California, Berkeley
• Computer Science: Programming with a Purpose from Princeton University
• Interacting with the System and Managing Memory from Duke University
• Programming Fundamentals from Duke University
• Introduction to Internationalization and Localization from University of Washington
• Introduction to Cybersecurity from University of Washington
• Building Interactive 3D Characters and Social VR from University of London International Programmes
• Coding for Designers, Managers, & Entrepreneurs I from University of Virginia
• Coding for Designers, Managers, & Entrepreneurs II from University of Virginia
• Coding for Designers, Managers, & Entrepreneurs III from University of Virginia
• Data in Database from Arizona State University
• Identifying Security Vulnerabilities from University of California, Davis
• Principles of Secure Coding from University of California, Davis
• Введение в базы данных from St. Petersburg State Polytechnic University
• Cloud Security Basics from University of Minnesota
• AP Computer Science A: Java Programming Classes and Objects from Purdue 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
• Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
• What is “the mind” and what is artificial intelligence? from University of Colorado Boulder
• Software Design as an Abstraction from University of Colorado System
• Software Design Methods and Tools from University of Colorado System
• TCP/IP and Advanced Topics from University of Colorado System
• Introduction to Cybersecurity for Business from University of Colorado System
• Proactive Computer Security from University of Colorado System
• Software Design as an Element of the Software Development Lifecycle from University of Colorado System
• LaTeX for Students, Engineers, and Scientists from Indian Institute of Technology Bombay
• Programmazione I from University of Naples Federico II
• Basi di dati from University of Naples Federico II
• Основы проектирования приложений интернета вещей from Moscow Institute of Physics and Technology
• Тонкости верстки from Moscow Institute of Physics and Technology
• Базы данных (Databases) from Saint Petersburg State University
• Introduction to the Internet of Things from Universitat Politècnica de València
• Video Game Design and Balance from Rochester Institute of Technology
• Deep Learning for Business from Yonsei University
• Introduction to TCP/IP from Yonsei University
• Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid
• Blockchain for the decision maker from EIT Digital
• Web of Data from EIT Digital
• Blockchain 360: A State of the Art for Professionals from EIT Digital
• The Cyber Security Landscape from Coventry University
• C Programming: Advanced Data Types from Dartmouth
• C Programming: Getting Started from Dartmouth
• AWS Fundamentals: Addressing Security Risk from Amazon Web Services
• Introduzione a LaTeX from University of Modena and Reggio Emilia
• Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid
• Programación Orientada a Objetos con Python from Universidad Austral
• Diseñando páginas web con Bootstrap 4 from Universidad Austral
• Introdução à Ciência da Computação com Python Parte 2 from Universidade de São Paulo
• Introduction to Git and GitHub from Google
• Web Accessibility from Google
• Writing Professional Code from Microsoft
• Object Oriented Programming in Java from Microsoft
• Introduction to Design Thinking from Microsoft
• CSS Basics from Microsoft
• How Entrepreneurs in Emerging Markets can master the Blockchain Technology from University of Cape Town
• Introduction to Cyber Attacks from New York University (NYU)
• Computer Hardware and Operating Systems from New York University (NYU)
• Cyber Attack Countermeasures from New York University (NYU)
• Introduction to Networking from New York University (NYU)
• Basics of Computing and Programming from New York University (NYU)
• AI for Everyone: Master the Basics from IBM
• Computing: Art, Magic, Science – Part II from ETH Zurich
• C for Everyone: Structured Programming from University of California, Santa Cruz
• Blockchain: Understanding Its Uses and Implications from Linux Foundation
• Introduction to Site Reliability Engineering and DevOps from Linux Foundation
• Introduction to Open Source Networking Technologies from Linux Foundation
• Home Networking Basics from Cisco
• Mobile 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 Technology
• Programming with GUIs from Raspberry Pi Foundation
• Introduction to Web Accessibility from World Wide Web Consortium (W3C)
• Introduction to MongoDB from MongoDB University
• Programación Orientada a Objetos (POO) from MéxicoX
• Scripting and Programming Foundations from Western Governors University
• Information Technology Foundations from Western Governors University
• Introduction to Virtual Reality
• HTTP & Web Servers

Intermediate (337)

• Using Databases with Python from University of Michigan ★★★★★(1705)
• Machine Learning from Stanford University ★★★★★(360)
• Machine Learning for Musicians and Artists from Goldsmiths, University of London ★★★★★(81)
• 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 ★★★★☆(27)
• Practical Machine Learning from Johns Hopkins University ★★★☆☆(26)
• Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(26)
• [New] Aprendizaje de máquinas from Universidad Nacional Autónoma de México
• Algorithmic Toolbox from University of California, San Diego ★★★★☆(23)
• Programming Languages, Part A from University of Washington ★★★★★(23)
• C++ For C Programmers, Part A from University of California, Santa Cruz ★★★☆☆(23)
• Algorithms, Part II from Princeton University ★★★★★(21)
• Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(21)
• Automata Theory from Stanford University ★★★★☆(20)
• Introduction to Machine Learning Course from Stanford University ★★★★☆(19)
• The Nature of Code from Processing Foundation ★★★★★(18)
• Object-Oriented Design from University of Alberta ★★★★☆(17)
• 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)
• Design of Computer Programs from Stanford University ★★★★☆(14)
• Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(14)
• 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)
• Interactivity with JavaScript from University of Michigan ★★★★☆(11)
• Introduction to Functional Programming from Delft University of Technology ★★★★☆(11)
• Using Python for Research from Harvard University ★★★★☆(10)
• Programming Languages from University of Virginia ★★★☆☆(10)
• Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)
• Full Stack Foundations
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign ★★★☆☆(9)
• Algorithmic Thinking (Part 2) from Rice University ★★★★☆(9)
• Design Patterns from University of Alberta ★★★★☆(9)
• Responsive Web Design Fundamentals from Google ★★★★★(9)
• Data Wrangling with MongoDB from MongoDB University ★★★☆☆(9)
• Compilers from Stanford University ★★★★★(8)
• Advanced Styling with Responsive Design from University of Michigan ★★★★☆(8)
• Data Structures from University of California, San Diego ★★★★☆(8)
• Software Defined Networking from Princeton University ★★★★☆(7)
• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(7)
• MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(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 AJAX
• Ruby on Rails Web Services and Integration with MongoDB from Johns Hopkins University ★★★★★(6)
• Internet of Things: How did we get here? from University of California, San Diego ★★☆☆☆(6)
• Data Structures and Performance from University of California, San Diego ★★★★☆(6)
• Computer Graphics from University of California, San Diego ★★★★☆(6)
• Computer Architecture from Princeton University ★★★★☆(6)
• Computer Networking from Georgia Institute of Technology ★★★★☆(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)
• Client Needs and Software Requirements from University of Alberta ★★★★★(6)
• Scalable Microservices with Kubernetes from Google ★★★☆☆(6)
• Intro to Algorithms
• Software Construction in Java from Massachusetts Institute of Technology ★★★★★(5)
• Data Structures: An Active Learning Approach from University of California, San Diego ★★★★★(5)
• Software Development Process from Georgia Institute of Technology ★★★★☆(5)
• Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(5)
• Malicious Software and its Underground Economy: Two Sides to Every Story from University of London International Programmes ★★★★☆(5)
• Fundamentals of Machine Learning from Santa Fe Institute ★★★★★(5)
• Software Debugging from Saarland University ★★★★★(5)
• Parallel Programming Concepts
• Algorithms on Strings from University of California, San Diego ★★★☆☆(4)
• Rails with Active Record and Action Pack from Johns Hopkins University ★★★★☆(4)
• Animation and CGI Motion from Columbia University ★★★★☆(4)
• Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego ★★★☆☆(4)
• Analysis of Algorithms from Princeton University ★★★★★(4)
• Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(4)
• Database Management Essentials from University of Colorado System ★★★★☆(4)
• Google Cloud Platform Fundamentals: Core Infrastructure from Google ★★★★☆(4)
• JavaScript Promises from Google ★★★★★(4)
• UX Design for Mobile Developers from Google ★★★★★(4)
• Website Performance Optimization 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)
• Algorithmic Design and Techniques from University of California, San Diego ★★★★☆(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)
• Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3)
• Machine Learning: Unsupervised Learning from Brown University ★★★☆☆(3)
• Programming Languages, Part B from University of Washington ★★★★☆(3)
• DevOps for Developers: How to Get Started from Microsoft ★★★★☆(3)
• Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem ★★★★★(3)
• Autonomous Mobile Robots from ETH Zurich ★★★☆☆(3)
• JavaScript Testing
• Configuring Linux Web Servers
• Compilers 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)
• Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
• Software Architecture & Design from Georgia Institute of Technology ★★★★★(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)
• Service-Oriented Architecture from University of Alberta ★★★★★(2)
• Software Architecture from University of Alberta ★★★★☆(2)
• Google Cloud Platform Fundamentals for AWS Professionals from Google Cloud ★★★☆☆(2)
• Browser Rendering Optimization from Google ★★★★☆(2)
• Client-Server Communication from Google ★★★★★(2)
• Developing International Software, Part 1 from Microsoft ★★★★☆(2)
• Approximation Algorithms Part I from École normale supérieure ★★★★★(2)
• Networking for Web Developers
• SQL for Data Analysis
• Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology ★★☆☆☆(1)
• Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology ★★★★☆(1)
• Software Development Fundamentals from University of Pennsylvania ★★★☆☆(1)
• Algorithm Design and Analysis from University of Pennsylvania ★★★★☆(1)
• Building Web Applications in PHP from University of Michigan ★★★★★(1)
• Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)
• Bitcoin and Cryptocurrencies from University of California, Berkeley ★★★★★(1)
• Introduction to Machine Learning from Duke University ★★☆☆☆(1)
• Database Systems Concepts & Design from Georgia Institute of Technology ★★★★☆(1)
• 3D Models for Virtual Reality from University of London International Programmes ★★★★★(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)
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• Introduction to TypeScript 2 from Microsoft ★☆☆☆☆(1)
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• Advanced Software Construction in Java from Massachusetts Institute of Technology
• Data Structures and Software Design from University of Pennsylvania
• Introduction to Neurohacking In R from Johns Hopkins University
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• The Merkle Tree and Cryptocurrencies from University of California, Irvine
• Data Science: Machine Learning and Predictions from University of California, Berkeley
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• Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of Technology
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• Building Functional Prototypes using Node.js from Microsoft
• Implementing In-Memory SQL Database Objects from Microsoft
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• Creating Programmatic SQL Database Objects from Microsoft
• Optimizing Performance for SQL Based Applications from Microsoft
• AngularJS: Framework Fundamentals from Microsoft
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• Application Design Considerations: An Inclusive Approach from Microsoft
• Building Cloud Apps with Microsoft Azure – Part 3 from Microsoft
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• Algorithms and Data Structures in C# from Microsoft
• Cybersecurity Compliance Framework & System Administration from IBM
• Basic System Programming on IBM Z from IBM
• Introduction to Web Cartography: Part 1 from ETH Zurich
• Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
• Introduction to Kubernetes from Linux Foundation
• Hyperledger Sawtooth for Application Developers from Linux Foundation
• Business Considerations for 5G, IoT and AI from Linux Foundation
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• Hacking PostgreSQL: Data Access Methods from Ural Federal University
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red Hat
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• Hacker101 from HackerOne
• Concurrency from AdaCore University
• Introduction to Applied Machine Learning from Alberta Machine Intelligence Institute
• Data Structures and Algorithms (III) from Tsinghua University
• Data Structures and Algorithms (IV) from Tsinghua University
• Data Structures and Algorithms (II) from Tsinghua University
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Advanced (143)

• Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(39)
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• [New] AI For Medical Treatment from deeplearning.ai
• [New] AI for Medical Prognosis from deeplearning.ai
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• Machine Learning: Regression from University of Washington ★★★★★(19)
• Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(18)
• Fundamentals of Reinforcement Learning from University of Alberta ★★★★★(17)
• Neural Networks and Deep Learning from deeplearning.ai ★★★★★(15)
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• Sample-based Learning Methods from University of Alberta ★★★★★(11)
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• Introduction to Operating Systems from Georgia Institute of Technology ★★★★★(2)
• Knowledge-Based AI: Cognitive Systems 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)
• Practical Reinforcement Learning from Higher School of Economics ★★★★★(2)
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• Quantum Information Science II, Part 2 – Efficient Quantum Computing – fault tolerance and complexity from Massachusetts Institute of Technology ★★★☆☆(1)
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• Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne ★★★☆☆(1)
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• Real-Time Audio Signal Processing in Faust from Stanford University
• Quantum Information Science II, Part 3 – Advanced quantum algorithms and information theory from Massachusetts Institute of Technology
• Quantum Information Science I, Part 3 from Massachusetts Institute of Technology
• Quantum Information Science I, Part 2 from Massachusetts Institute of Technology
• Quantum Information Science II, Part 1 – Quantum states, noise and error correction from Massachusetts Institute of Technology
• Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
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• NP-Complete Problems from University of California, San Diego
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• 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 Kong
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• Обработка изображений from Higher School of Economics
• Introduction to Formal Concept Analysis from Higher School of Economics
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• Менеджмент информационной безопасности from Higher School of Economics
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• Bayesian Methods for Machine Learning from Higher School of Economics
• Методы и средства защиты информации from Higher School of Economics
• Addressing Large Hadron Collider Challenges by Machine Learning from Higher School of Economics
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• Recommender Systems: Evaluation and Metrics from University of Minnesota
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• Il linguaggio naturale, dall’uomo alla macchina from University of Naples Federico II
• 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 Foundations from National Taiwan University
• 人工智慧：機器學習與理論基礎 (Artificial Intelligence – Learning & Theory) from National Taiwan University
• Razonamiento artificial from Universidad Nacional Autónoma de México
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• 大数据机器学习|Big Data Machine Learning from Tsinghua University
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• Automated Reasoning: Symbolic Model Checking from EIT Digital
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• 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
• System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital
• Discrete Mathematics from Shanghai Jiao Tong University
• DevOps for Databases from Microsoft
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• Introduction to Artificial Intelligence (AI) from Microsoft
• Introduction to Deep Learning & Neural Networks with Keras from IBM
• Deep Learning with Python and PyTorch from IBM
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