TranslateProject/sources/tech/20180131 440 Free Online Programming Computer Science Courses You Can Start in February.md

440+ Free Online Programming & Computer Science Courses You Can Start in February

Six years ago, universities like MIT and Stanford first opened up free online courses to the public. Today, more than 800 schools around the world have created thousands of free online courses.

I’ve compiled this list of over 440 such free online courses that you can start this month. For this, I leveraged Class Central’s database of over 9,000 courses. I’ve also included each course’s average rating.

Class Central’s home page.

I’ve sorted these courses into the following categories based on their difficulty level:

• Beginner

• Intermediate

• Advanced

Courses 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 later in February. You can find complete lists of the technology-related courses starting later in 2018 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(112)

• An Introduction to Interactive Programming in Python (Part 1) from  Rice University  ★★★★★(3018)

• Introduction to Computer Science and Programming Using Python from  Massachusetts Institute of Technology  ★★★★★(115)

• Learn to Program: The Fundamentals from  University of Toronto ★★★★★(100)

• Intro to Computer Science from  University of Virginia  ★★★★☆(68)

• CS50’s Introduction to Computer Science from  Harvard University ★★★★★(65)

• An Introduction to Interactive Programming in Python (Part 2) from  Rice University  ★★★★★(52)

• How to Use Git and GitHub

• Introduction to Linux from  Linux Foundation  ★★★★☆(37)

• Internet History, Technology, and Security from  University of Michigan ★★★★★(36)

• Intro to HTML and CSS

• Introduction to VBA/Excel Programming from  Cal Poly Pomona ★★★★☆(26)

• [New] CS50’s Understanding Technology from  Harvard University

• [New] CS50’s Computer Science for Business Professionals from  Harvard University

• [New] Introducción a la programación en Java: cómo comenzar a programar from  Universidad Carlos iii de Madrid

• [New] Introduction to the Internet of Things (IoT) from  Curtin University

• [New] Version Control with Git from  Atlassian

• JavaScript Basics

• CS101: Computer Science 101 from  Stanford University  ★★★★☆(15)

• Programming Basics from  Indian Institute of Technology Bombay ★★☆☆☆(13)

• Web Security Fundamentals from  KU Leuven University  ★★★★☆(12)

• Programming Foundations with Python

• Networking: Introduction to Computer Networking from  Stanford University  ★★★★★(11)

• DB: Introduction to Databases from  Stanford University  ★★★★★(11)

• Creative Programming for Digital Media & Mobile Apps from  University of London International Programmes  ★★★★☆(10)

• Programming Foundations with JavaScript, HTML and CSS from  Duke University  ★★★★☆(9)

• Usable Security from  University of Maryland, College Park  ★★★☆☆(9)

• Introduction to Bootstrap — A Tutorial from  Microsoft  ★★★☆☆(9)

• HTML5 Coding Essentials and Best Practices from  World Wide Web Consortium (W3C)  ★★★★☆(9)

• Python for Everybody — Exploring Information

• Learn to Program: Crafting Quality Code from  University of Toronto ★★★★☆(7)

• Introduction to Programming for the Visual Arts with p5.js from  University of California, Los Angeles  ★★★★★(7)

• Intro to Relational Databases

• Introduction to jQuery from  Microsoft  ★★★★☆(5)

• HTML5 and CSS Fundamentals from  World Wide Web Consortium (W3C) ★★★★☆(5)

• Java Programming Basics

• Linux Command Line Basics

• Introduction to Java Programming — Part 1 from  The Hong Kong University of Science and Technology  ★★★★☆(4)

• Introduction to Java Programming: Starting to code in Java from  Universidad Carlos iii de Madrid  ★★★★☆(4)

• Paradigms of Computer Programming — Abstraction and Concurrencyfrom  Université catholique de Louvain  ★★★★☆(4)

• Paradigms of Computer Programming — Fundamentals from  Université catholique de Louvain  ★★★★★(4)

• Programming in Scratch from  Harvey Mudd College  ★★★★★(4)

• Programming for the Web with JavaScript from  University of Pennsylvania ★★★★★(2)

• The Beauty and Joy of Computing — AP® CS Principles Part 1 from  University of California, Berkeley  ★★★★★(2)

• Introduction to Computing using Python from  Georgia Institute of Technology  ★★★★★(2)

• Object-Oriented Programming from  Indian Institute of Technology Bombay ★★★★☆(2)

• Think. Create. Code from  University of Adelaide  ★★★★★(2)

• The Computing Technology Inside Your Smartphone from  Cornell University  ★★★★★(2)

• Android Basics: Make Your First App from  Google  ★★★★☆(2)

• Learn to Program Using Python from  University of Texas Arlington ★★★★★(2)

• Introduction to HTML and JavaScript from  Microsoft  ★★★★★(2)

• CS For All: Introduction to Computer Science and Python Programmingfrom  Harvey Mudd College  ★★★★★(2)

• Intro to JavaScript

• Android for Beginners

• Networks: Friends, Money, and Bytes from  Princeton University ★★★☆☆(1)

• How to Code: Simple Data from  The University of British Columbia ★★★★★(1)

• Web Development and Design using Wordpress from  California Institute of the Arts  ★★★★☆(1)

• Android App Development for Beginners from  Galileo University ★☆☆☆☆(1)

• Android App Development for Beginners from  Galileo University ★☆☆☆☆(1)

• Web Coding Fundamentals for Artists from  National University of Singapore  ★★★★☆(1)

• Introduction to ReactJS from  Microsoft  ★★☆☆☆(1)

• Introduction to Node.js from  Microsoft  ★★★★★(1)

• Learn to Program in Java from  Microsoft  ★★★★★(1)

• Computing: Art, Magic, Science from  ETH Zurich  ★★★★☆(1)

• Cyber Security: Safety at Home, Online, in Life from  Newcastle University ★★★☆☆(1)

• Software Engineering Essentials from  Technische Universität München (Technical University of Munich)  ★★★★★(1)

• MyCS: Computer Science for Beginners from  Harvey Mudd College ★★★☆☆(1)

• Version Control with Git

• Web Applications for Everybody

• CS50’s AP® Computer Science Principles from  Harvard University

• Programming Fundamentals from  Duke University

• Introduction to Cybersecurity from  University of Washington

• Python Data Representations from  Rice University

• Python Programming Essentials from  Rice University

• Software Engineering: Introduction from  The University of British Columbia

• Introduction to Web Development from  University of California, Davis

• Introduction to Java Programming — Part 2 from  The Hong Kong University of Science and Technology

• Excel/VBA for Creative Problem Solving, Part 2 from  University of Colorado Boulder

• Excel/VBA for Creative Problem Solving, Part 2 from  University of Colorado Boulder

• AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from  Purdue University

• AP Computer Science A: Java Programming Loops and Data Structuresfrom  Purdue University

• AP Computer Science A: Java Programming Classes and Objects from  Purdue University

• Java Fundamentals for Android Development from  Galileo University

• Monetize Android Apps with Business Models from  Galileo University

• Monetize Android Apps with Business Models from  Galileo University

• Java Fundamentals for Android Development from  Galileo University

• Introduction to Java Programming: Writing Good Code from  Universidad Carlos iii de Madrid

• Cyber Security Basics: A Hands-on Approach from  Universidad Carlos iii de Madrid

• Deep Learning for Business from  Yonsei University

• Introduction to TCP/IP from  Yonsei University

• Video Game Design and Balance from  Rochester Institute of Technology

• Web Accessibility from  Google

• Mobile Web Development from  Google

• Introduction to Programming Using Python from  University of Texas Arlington

• Introduction to Python: Absolute Beginner from  Microsoft

• Introduction to Python: Fundamentals from  Microsoft

• Introduction to Design Thinking from  Microsoft

• Logic and Computational Thinking from  Microsoft

• Writing Professional Code from  Microsoft

• Object Oriented Programming in Java from  Microsoft

• CSS Basics from  Microsoft

• Computing: Art, Magic, Science — Part II from  ETH Zurich

• JavaScript Introduction from  World Wide Web Consortium (W3C)

• Object-oriented Programming in Python: Create Your Own Adventure Game from  Raspberry Pi Foundation

• Learn Swift Programming Syntax

• JavaScript and the DOM

• Blockchain in the Energy Sector from  InnoEnergy

• Introduction to Virtual Reality

• ES6 — JavaScript Improved

• Introduction to Python

• HTTP & Web Servers

• GitHub & Collaboration

• Swift for Beginners

INTERMEDIATE(259)

• Machine Learning from  Stanford University  ★★★★★(325)

• Algorithms, Part I from  Princeton University  ★★★★★(58)

• Machine Learning for Musicians and Artists from  Goldsmiths, University of London  ★★★★★(57)

• Cryptography I from  Stanford University  ★★★★★(49)

• CS188.1x: Artificial Intelligence from  University of California, Berkeley ★★★★★(30)

• Principles of Computing (Part 1) from  Rice University  ★★★★★(29)

• [New] Algorithmic Design and Techniques from  University of California, San Diego

• Software Security from  University of Maryland, College Park ★★★★☆(25)

• [New] Introduction to Soft Computing from  Indian Institute of Technology, Kharagpur

• [New] Cloud Computing from  Indian Institute of Technology, Kharagpur

• [New] Database Management System from  Indian Institute of Technology, Kharagpur

• [New] Introduction To Haskell Programming from  Chennai Mathematical Institute

• Algorithms, Part II from  Princeton University  ★★★★★(21)

• Professional Web Accessibility Auditing Made Easy from  Chang School of Continuing Education  ★★★★★(21)

• Agile Development Using Ruby on Rails — The Basics from  University of California, Berkeley  ★★★★★(19)

• Automata Theory from  Stanford University  ★★★★☆(18)

• Intro to Machine Learning from  Stanford University  ★★★★☆(18)

• Web Development

• Principles of Computing (Part 2) from  Rice University  ★★★★☆(16)

• Android Development for Beginners from  Google  ★★★★☆(16)

• C++ For C Programmers, Part A from  University of California, Santa Cruz ★★★☆☆(16)

• The Nature of Code from  Processing Foundation  ★★★★★(16)

• Concepts in Game Development from  Swinburne University of Technology ★★★★☆(15)

• Algorithmic Thinking (Part 1) from  Rice University  ★★★★☆(14)

• Design of Computer Programs from  Stanford University  ★★★★☆(13)

• Java Programming: Solving Problems with Software from  Duke University ★★★☆☆(13)

• Responsive Web Design from  University of London International Programmes  ★★★★☆(12)

• Discrete Optimization from  University of Melbourne  ★★★★☆(12)

• Introduction to Game Development from  Michigan State University ★★★★★(12)

• Introduction to Functional Programming from  Delft University of Technology  ★★★★☆(11)

• Developing Android Apps from  Google  ★★★☆☆(11)

• Object-Oriented JavaScript from  Hack Reactor  ★★★★★(11)

• Programming Languages from  University of Virginia  ★★★☆☆(10)

• Algorithmic Thinking (Part 2) from  Rice University  ★★★★☆(9)

• Responsive Web Design Fundamentals from  Google  ★★★★★(9)

• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from  Duke University  ★★★★☆(8)

• Cryptography from  University of Maryland, College Park  ★★★★☆(8)

• Cryptography from  University of Maryland, College Park  ★★★★☆(8)

• Learning from Data (Introductory Machine Learning course) from  California Institute of Technology  ★★★★★(8)

• Julia Scientific Programming from  University of Cape Town  ★★★★★(8)

• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructurefrom  University of Illinois at Urbana-Champaign  ★★★☆☆(7)

• Introduction To Swift Programming from  University of Toronto ★☆☆☆☆(7)

• Software Testing from  University of Utah  ★★★★☆(7)

• Data Wrangling with MongoDB from  MongoDB University  ★★★★☆(7)

• Intro to AJAX

• Computer Architecture from  Princeton University  ★★★★☆(6)

• Internet of Things: How did we get here? from  _University of California, San Diego _ ★★☆☆☆(6)

• Introduction to Meteor.js Development from  University of London International Programmes  ★★★★☆(6)

• How to Code: Systematic Program Design — Part 1 from  The University of British Columbia  ★★★★☆(6)

• Intro to DevOps from  Nutanix  ★★★☆☆(6)

• Full Stack Foundations

• Intro to Algorithms

• Software Construction in Java from  Massachusetts Institute of Technology ★★★★★(5)

• Agile Development Using Ruby on Rails — Advanced from  University of California, Berkeley  ★★★★★(5)

• Computer Graphics from  University of California, Berkeley  ★★★★☆(5)

• Software Development Process from  Georgia Institute of Technology ★★★★☆(5)

• Computer Networking from  Georgia Institute of Technology  ★★★★☆(5)

• Java Programming: Arrays, Lists, and Structured Data from  Duke University  ★★★★★(5)

• Cloud Computing Concepts: Part 2 from  University of Illinois at Urbana-Champaign  ★★★★★(5)

• HTML5 Game Development from  Google  ★★★☆☆(5)

• Introduction to C++ from  Microsoft  ★★★★☆(5)

• Software Debugging from  Saarland University  ★★★★★(5)

• Parallel Programming Concepts

• Intro to iOS App Development with Swift

• Internet of Things: Setting Up Your DragonBoard™ Development Platformfrom  _University of California, San Diego _ ★★★☆☆(4)

• Internet of Things & Augmented Reality Emerging Technologies from  Yonsei University  ★★★☆☆(4)

• Database Management Essentials from  University of Colorado System ★★★★☆(4)

• Website Performance Optimization from  Google  ★★★★☆(4)

• UX Design for Mobile Developers from  Google  ★★★★★(4)

• Querying Data with Transact-SQL from  Microsoft  ★★★★☆(4)

• Interactive Computer Graphics from  The University of Tokyo  ★★☆☆☆(4)

• Intro to jQuery

• Using Python for Research from  Harvard University  ★★★☆☆(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: Communication Technologies from  _University of California, San Diego _ ★★★☆☆(3)

• MATLAB and Octave for Beginners from  École Polytechnique Fédérale de Lausanne  ★★★☆☆(3)

• Wireless Communication Emerging Technologies from  Yonsei University ★★★★☆(3)

• JavaScript Promises from  Google  ★★★★★(3)

• Android Basics: Multiscreen Apps from  Google  ★★★★☆(3)

• Android Basics: User Input from  Google  ★★★★☆(3)

• DevOps for Developers: How to Get Started from  Microsoft  ★★★★☆(3)

• Autonomous Mobile Robots from  ETH Zurich  ★★★☆☆(3)

• Agile Software Development from  ETH Zurich  ★★★★☆(3)

• JavaScript Testing

• Configuring Linux Web Servers

• JavaScript Design Patterns

• Compilers from  Stanford University  ★★★★☆(2)

• LPL: Language, Proof and Logic from  Stanford University  ★★★★★(2)

• Mobile Application Experiences Part 1: From a Domain to an App Ideafrom  Massachusetts Institute of Technology  ★★★★★(2)

• Machine Learning: Unsupervised Learning from  Brown University ★★★★★(2)

• Programming Languages, Part B from  University of Washington ★★★★★(2)

• Responsive Website Tutorial and Examples from  University of London International Programmes  ★★★★★(2)

• iOS App Development Basics from  University of Toronto  ★★★★☆(2)

• Programming, Data Structures and Algorithms from  Indian Institute of Technology Madras  ★★☆☆☆(2)

• Android App Components — Services, Local IPC, and Content Providersfrom  Vanderbilt University  ★★★☆☆(2)

• Android App Components — Intents, Activities, and Broadcast Receiversfrom  Vanderbilt University  ★★★☆☆(2)

• Introduction to Mobile Application Development using Android from  The Hong Kong University of Science and Technology  ★★★★☆(2)

• Internet Emerging Technologies from  Yonsei University  ★★★☆☆(2)

• Object-Oriented Design from  University of Alberta  ★★★☆☆(2)

• Android Basics: Networking from  Google  ★★★★☆(2)

• Browser Rendering Optimization from  Google  ★★★★☆(2)

• Google Cloud Platform Fundamentals: Core Infrastructure from  Google ★★★★☆(2)

• Client-Server Communication from  Google  ★★★★★(2)

• Developing International Software, Part 1 from  Microsoft  ★★★★☆(2)

• Analyzing and Visualizing Data with Power BI from  Microsoft ★★★★★(2)

• Networking for Web Developers

• Computation Structures 2: Computer Architecture from  Massachusetts Institute of Technology  ★★★★☆(1)

• Software Development Fundamentals from  University of Pennsylvania ★★★☆☆(1)

• Software Architecture & Design from  Georgia Institute of Technology ★★★★★(1)

• Database Systems Concepts & Design from  Georgia Institute of Technology ★★★★☆(1)

• Programming Languages, Part C from  University of Washington ★★★★★(1)

• How to Code: Complex Data from  The University of British Columbia ★★★★★(1)

• Running Product Design Sprints from  University of Virginia  ★★★☆☆(1)

• Java for Android from  Vanderbilt University  ★☆☆☆☆(1)

• Server-side Development with NodeJS, Express and MongoDB from  The Hong Kong University of Science and Technology  ★★★★★(1)

• Cyber Security Economics from  Delft University of Technology ★★☆☆☆(1)

• Web Application Development: Basic Concepts from  University of New Mexico  ★★★★☆(1)

• Algorithms from  Indian Institute of Technology Bombay  ★★★★★(1)

• Android: Introducción a la Programación from  Universitat Politècnica de València  ★★★★☆(1)

• Service-Oriented Architecture from  University of Alberta  ★★★★★(1)

• Design Patterns from  University of Alberta  ★☆☆☆☆(1)

• Cybersecurity and Mobility from  University System of Georgia ★☆☆☆☆(1)

• Google Cloud Platform Fundamentals for AWS Professionals from  Google Cloud  ★★☆☆☆(1)

• Android Basics: User Interface from  Google  ★★☆☆☆(1)

• Scalable Microservices with Kubernetes from  Google  ★★★★☆(1)

• Developing Scalable Apps in Java from  Google  ★★★★☆(1)

• Android Performance from  Google  ★★★★★(1)

• Android Basics: Button Clicks from  Google  ★★★☆☆(1)

• Gradle for Android and Java from  Google  ★★★★★(1)

• VR Software Development from  Google  ★★★★☆(1)

• Developing Scalable Apps in Python from  Google  ★★★★☆(1)

• Material Design for Android Developers from  Google  ★★★★★(1)

• Intermediate C++ from  Microsoft  ★★★★☆(1)

• Introduction to C# from  Microsoft  ★★☆☆☆(1)

• AngularJS: Advanced Framework Techniques from  Microsoft ★★★★☆(1)

• Principles of Machine Learning from  Microsoft  ★★★★★(1)

• Asynchronous Programming with Javascript from  Microsoft ★★★★★(1)

• Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from  Hebrew University of Jerusalem ★★★★★(1)

• A developer’s guide to the Internet of Things (IoT) from  IBM ★★★★☆(1)

• Introduction to Cloud Infrastructure Technologies from  Linux Foundation ★★★★☆(1)

• 2D Game Development with libGDX from  Amazon  ★★★★★(1)

• Introduction to Real-Time Systems from  IEEE  ★★★★☆(1)

• Design and Analysis of Algorithms from  Chennai Mathematical Institute ★★★☆☆(1)

• How to Win Coding Competitions: Secrets of Champions from  ITMO University  ★★★☆☆(1)

• HTML5 Apps and Games from  World Wide Web Consortium (W3C) ★★★☆☆(1)

• Technical Interview from  Pramp  ★★★★★(1)

• Android Basics: Data Storage

• Intro to Theoretical Computer Science

• Algorithms: Design and Analysis from  Stanford University

• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from  Stanford University

• Mobile Application Experiences 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

• Algorithm Design and Analysis from  University of Pennsylvania

• Data Structures and Software Design from  University of Pennsylvania

• Introduction to Neurohacking In R from  Johns Hopkins University

• Database Systems Concepts and Design from  Georgia Institute of Technology

• Software Analysis & Testing from  Georgia Institute of Technology

• Writing, Running, and Fixing Code in C from  Duke University

• Animation and CGI Motion from  Columbia University

• Minecraft, Coding and Teaching from  University of California, San Diego

• Internet of Things: Sensing and Actuation From Devices from  University of California, San Diego

• How Virtual Reality (VR) Works 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

• Cybersecurity: The CISO’s View from  University of Washington

• Build Your Own iOS App from  University of Toronto

• 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: Systematic Program Design — Part 3 from  The University of British Columbia

• How to Code: Systematic Program Design — Part 2 from  The University of British Columbia

• Software Construction: Data Abstraction from  The University of British Columbia

• Software Construction: Object-Oriented Design from  The University of British Columbia

• Testing with Agile from  University of Virginia

• SQL for Data Science from  University of California, Davis

• LAFF — On Programming for Correctness from  The University of Texas at Austin

• Multiplatform Mobile App Development with NativeScript 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 Web Technologies: Ionic and Cordova from  The Hong Kong University of Science and Technology

• Developing Android Apps with App Inventor 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

• Globally Distributed Software Engineering from  Delft University of Technology

• Основы разработки на C++: жёлтый пояс from  Moscow Institute of Physics and Technology

• Building Arduino robots and devices from  Moscow Institute of Physics and Technology

• 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

• Professional Android App Development from  Galileo University

• 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

• Enterprise Software Lifecycle Management from  National Research Nuclear University MEPhI

• Использование механизмов операционных систем в разработке программного обеспечения from  National Research Nuclear University MEPhI

• Requirements Elicitation: Artifact and Stakeholder Analysis 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

• Software Requirements Prioritization: Risk Analysis from  University of Colorado System

• Homeland Security & Cybersecurity Connection — It’s Not About the Terrorists from  University of Colorado System

• SRS Documents: Requirements and Diagrammatic Notations from  University of Colorado System

• Requirements Gathering for Secure Software Development from  University of Colorado System

• Software Testing Management from  University System of Maryland

• Cloud Computing for Enterprises from  University System of Maryland

• Cloud Computing Infrastructure from  University System of Maryland

• Formal Software Verification from  University System of Maryland

• Software Testing Fundamentals from  University System of Maryland

• Cloud Computing Management from  University System of Maryland

• Introduction to Data Structures from  University of Adelaide

• Gameplay Programming for Video Game Designers from  Rochester Institute of Technology

• Teamwork & Collaboration from  Rochester Institute of Technology

• Web Connectivity and Security in Embedded Systems from  EIT Digital

• Architecting Smart IoT Devices from  EIT Digital

• Introduction to Architecting Smart IoT Devices from  EIT Digital

• Cybersecurity and the X-Factor from  University System of Georgia

• Intro to Progressive Web Apps from  Google

• Advanced Android App Development from  Google

• Google Maps APIs from  Google

• Offline Web Applications from  Google

• Firebase Essentials For Android from  Google

• Developing Intelligent Apps and Bots from  Microsoft

• Developing SQL Databases from  Microsoft

• Building Functional Prototypes using Node.js from  Microsoft

• Building Interactive Prototypes using JavaScript from  Microsoft

• Algorithms and Data Structures from  Microsoft

• Algorithms and Data Structures in C# from  Microsoft

• Creating Programmatic SQL Database Objects from  Microsoft

• AngularJS: Framework Fundamentals from  Microsoft

• Introduction to TypeScript 2 from  Microsoft

• Advanced CSS Concepts from  Microsoft

• Implementing In-Memory SQL Database Objects from  Microsoft

• Optimizing Performance for SQL Based Applications from  Microsoft

• Programmation Concurrente (avec Java) from  Sorbonne Universités

• C++ For C Programmers, Part B from  University of California, Santa Cruz

• Introduction to Kubernetes from  Linux Foundation

• Introduction to DevOps: Transforming and Improving Operations from  Linux Foundation

• Introduction to DevOps: Transforming and Improving Operations from  Linux Foundation

• UML Class Diagrams for Software Engineering from  KU Leuven University

• Mobile Usability and Design for Android from  Facebook

• Mobile Usability and Design for IOS from  Facebook

• Concurrency from  AdaCore University

• Fundamentals of Red Hat Enterprise Linux from  Red Hat

• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from  Red Hat

• C++ For Programmers

• Learn Backbone.js

• How to create in Android

• How to Make an iOS App

• iOS Persistence and Core Data

• UIKit Fundamentals

• iOS Networking with Swift

• Designing RESTful APIs

• VR Platforms & Applications

• Swift for Developers

• The MVC Pattern in Ruby

• Deploying Applications with Heroku

• Dynamic Web Applications with Sinatra

• Building iOS Interfaces

• VR Design

• New Android Fundamentals

• iOS Design Patterns

• VR Scenes and Objects

ADVANCED(78)

• Creative Applications of Deep Learning with TensorFlow

• [New] An Introduction to Probability in Computing from  Indian Institute of Technology Madras

• [New] Information security — IV from  Indian Institute of Technology Madras

• [New] Matlab Programming For Numerical Computation from  Indian Institute of Technology Madras

• [New] Digital Switching — I from  Indian Institute of Technology Kanpur

• [New] Advanced Graph Theory from  Indian Institute of Technology Kanpur

• [New] Deep Learning in Computer Vision from  Higher School of Economics

• [New] Natural Language Processing from  Higher School of Economics

• [New] Practical Reinforcement Learning from  Higher School of Economics

• [New] Real Time Operating System from  Indian Institute of Technology, Kharagpur

• [New] Traditional and Non-Traditional Optimization Tools from  Indian Institute of Technology, Kharagpur

• [New] Basics of software-defined radios and practical applications from  Indian Institute of Technology Roorkee

• [New] Sparse Representations in Image Processing: From Theory to Practice from  Technion — Israel Institute of Technology

• Introduction to Artificial Intelligence from  Stanford University ★★★★☆(24)

• Neural Networks for Machine Learning from  University of Toronto ★★★★☆(22)

• Machine Learning for Data Science and Analytics from  Columbia University ★★★☆☆(15)

• Machine Learning for Trading from  Georgia Institute of Technology ★★★☆☆(13)

• Neural Networks and Deep Learning from  deeplearning.ai  ★★★★★(9)

• Artificial Intelligence (AI) from  Columbia University  ★★★★☆(9)

• Computational Neuroscience from  University of Washington  ★★★★☆(8)

• Introduction to Computer Vision from  Georgia Institute of Technology ★★★★★(6)

• Reinforcement Learning from  Brown University  ★★☆☆☆(6)

• Intro to Parallel Programming from  Nvidia  ★★★★☆(6)

• Interactive 3D Graphics from  Autodesk  ★★★★☆(6)

• Machine Learning from  Georgia Institute of Technology  ★★★★★(5)

• Enabling Technologies for Data Science and Analytics: The Internet of Things from  Columbia University  ★☆☆☆☆(5)

• Applied Cryptography from  University of Virginia  ★★★★☆(5)

• Practical Deep Learning For Coders, Part 1 from  fast.ai  ★★★★☆(5)

• Advanced Operating Systems from  Georgia Institute of Technology ★★★★★(4)

• Machine Learning from  Columbia University  ★★★★★(4)

• Introduction to Computer Architecture from  Carnegie Mellon University ★★★★★(4)

• Probabilistic Graphical Models 2: Inference from  Stanford University ★★★★☆(3)

• Applied Machine Learning in Python from  University of Michigan ★★★★☆(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)

• Introduction to Operating Systems from  Georgia Institute of Technology ★★★★★(2)

• Nearest Neighbor Collaborative Filtering from  University of Minnesota ★★☆☆☆(2)

• 6.S094: Deep Learning for Self-Driving Cars from  Massachusetts Institute of Technology  ★★★★☆(1)

• 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)

• Intro to Information Security from  Georgia Institute of Technology ★☆☆☆☆(1)

• Knowledge-Based AI: Cognitive Systems from  Georgia Institute of Technology  ★★★☆☆(1)

• Embedded Hardware and Operating Systems from  _EIT Digital _ ★☆☆☆☆(1)

• Learn TensorFlow and deep learning, without a Ph.D. from  Google ★★★★☆(1)

• DevOps Practices and Principles from  Microsoft  ★★☆☆☆(1)

• Sparse Representations in Signal and Image Processing: Fundamentalsfrom  Technion — Israel Institute of Technology  ★★★★★(1)

• Introduction to Cloud Foundry and Cloud Native Software Architecturefrom  Linux Foundation  ★★★★★(1)

• Blockchain for Business — An Introduction to Hyperledger Technologiesfrom  Linux Foundation  ★★★★☆(1)

• Computation Structures 3: Computer Organization from  Massachusetts Institute of Technology

• GT — Refresher — Advanced OS from  Georgia Institute of Technology

• High Performance Computing from  Georgia Institute of Technology

• Compilers: Theory and Practice from  Georgia Institute of Technology

• Cyber-Physical Systems Security from  Georgia Institute of Technology

• Network Security from  Georgia Institute of Technology

• Artificial Intelligence from  Georgia Institute of Technology

• Information Security: Context and Introduction from  University of London International Programmes

• Advanced Modeling for Discrete Optimization from  University of Melbourne

• Basic Modeling for Discrete Optimization from  University of Melbourne

• Nature, in Code: Biology in JavaScript from  École Polytechnique Fédérale de Lausanne

• Matrix Factorization and Advanced Techniques from  University of Minnesota

• System Validation: Automata and behavioural equivalences from  EIT Digital

• System Validation (2): Model process behaviour from  EIT Digital

• System Validation (4): Modelling Software, Protocols, and other behaviour from  EIT Digital

• DevOps Testing from  Microsoft

• Deep Learning Explained from  Microsoft

• Introduction to Artificial Intelligence (AI) from  Microsoft

• DevOps for Databases from  Microsoft

• Infrastructure as Code from  Microsoft

• Deep Learning for Natural Language Processing from  University of Oxford

• Statistical Machine Learning from  Carnegie Mellon University

• Cyber-Physical Systems: Modeling and Simulation from  University of California, Santa Cruz

• Introduction to OpenStack from  Linux Foundation

• Computer System Design: Advanced Concepts of Modern Microprocessorsfrom  Chalmers University of Technology

• Reliable Distributed Algorithms, Part 2 from  KTH Royal Institute of Technology

• Deep Learning Summer School

• Continuous Integration and Deployment

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作者简介：

Founder of www.class-central.com — The most popular online course search engine

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via: https://medium.freecodecamp.org/440-free-online-programming-computer-science-courses-you-can-start-in-february-e075f920cb5b

作者：Dhawal Shah 译者：译者ID 校对：校对者ID

本文由 LCTT 原创编译，Linux中国 荣誉推出