Twelve years ago, universities like Stanford and MIT opened up free online courses to the public. Today, over 1,200 schools around the world have created thousands of free online courses.
To welcome the new year, I’ve compiled this list of 860+ such free online courses that you can start right now. For this, I leveraged Class Central’s database of over 100,000 online courses. When available, I've also included the course average rating.
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]. Almost all of these courses are completely self-paced, meaning you can start right now.
You can find complete lists of technology-related courses on Class Central’s Computer Science, Data Science, and Programming subject pages. If the options feels overwhelming, there, you'll also find guides to help you find the best course for you.
Finally, if you have trouble figuring out how to sign up for Coursera courses for free, don’t worry — I’ve written an article on how to do that, too.
Beginner (225)
- Elements of AI from University of Helsinki ★★★★★(713)
- Unlocking Information Security I: From Cryptography to Buffer Overflows from Tel Aviv University ★★★★★(298)
- CS50's Introduction to Computer Science from Harvard University ★★★★★(140)
- Computational Social Science Methods from University of California, Davis ★★★★★(107)
- Introduction to HTML5 from University of Michigan ★★★★☆(50)
- Unlocking Information Security II: An Internet Perspective from Tel Aviv University ★★★★★(50)
- Internet History, Technology, and Security from University of Michigan ★★★★★(41)
- Introduction to Linux from Linux Foundation ★★★★☆(37)
- Introduction to Databases from Stanford University ★★★★★(30)
- Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(28)
- Fundamentos TIC para profesionales de negocios: Desarrollo de Software from Universitat Politècnica de València ★★★★☆(26)
- [New] Introduction to Quantum Computing from The University of British Columbia
- [New] Coding Interview Preparation from Meta
- [New] Software Development Practices from Meta
- Introduction to Cyber Security from The Open University ★★★★☆(22)
- Web Security Fundamentals from KU Leuven University ★★★★☆(22)
- CS50's Web Programming with Python and JavaScript from Harvard University ★★★★★(21)
- HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(20)
- Computer Science 101 from Stanford University ★★★★☆(18)
- Programming Basics from Indian Institute of Technology Bombay ★★★☆☆(18)
- Diagramas UML estructurales para la Ingeniería del Software from Universitat Politècnica de València ★★★★★(17)
- Fundamentos TIC para profesionales de negocios: Aplicaciones empresariales from Universitat Politècnica de València ★★★★★(16)
- Introduction to Networking from New York University (NYU) ★★★★☆(16)
- Introduction to CSS3 from University of Michigan ★★★★★(14)
- CS50's Computer Science for Business Professionals from Harvard University ★★★★★(13)
- Getting Started with AWS Machine Learning from Amazon Web Services ★★★★☆(13)
- Building AI from University of Helsinki ★★★★☆(13)
- Introduction to the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(12)
- CS50's Introduction to Artificial Intelligence with Python from Harvard University ★★★★★(11)
- Creative Programming for Digital Media & Mobile Apps from University of London International Programmes ★★★★☆(11)
- HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(11)
- CS50's Understanding Technology from Harvard University ★★★★★(10)
- Technical Support Fundamentals from Google ★★★★☆(10)
- Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(9)
- Usable Security from University of Maryland, College Park ★★★☆☆(9)
- Computer Hardware and Operating Systems from New York University (NYU) ★★★★★(9)
- Linux Command Line Basics
- Intro to Relational Databases
- How To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★☆(7)
- Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid ★★★★★(7)
- AI For Everyone from DeepLearning.AI ★★★★★(6)
- CS50's Computer Science for Lawyers from Harvard University ★★★★★(5)
- Introduction to Computing using Python from Georgia Institute of Technology ★★★★★(5)
- Introduction to the Internet of Things from Universitat Politècnica de València ★★★★☆(5)
- Paradigms of Computer Programming – Fundamentals from Université catholique de Louvain ★★★★★(5)
- Paradigms of Computer Programming – Abstraction and Concurrency from Université catholique de Louvain ★★★★☆(5)
- Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(5)
- The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(5)
- Basics of Computing and Programming from New York University (NYU) ★★★★☆(5)
- C for Everyone: Programming Fundamentals from University of California, Santa Cruz ★★★★☆(5)
- Programming in Scratch from Harvey Mudd College ★★★★★(5)
- Web Applications for Everybody
- Problem Solving, Python Programming, and Video Games from University of Alberta ★★★★☆(4)
- Full Stack open 2022 from University of Helsinki ★★★★★(4)
- CS For All: Introduction to Computer Science and Python Programming from Harvey Mudd College ★★★★★(4)
- CS50's Introduction to Game Development from Harvard University ★★★★☆(3)
- How Computers Work from University of London International Programmes ★★★★☆(3)
- Introduction to Web Development from University of California, Davis ★★★★☆(3)
- Python Programming Essentials from Rice University ★★★★★(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 College ★★★☆☆(3)
- Introduction to Structured Query Language (SQL) from University of Michigan ★★★★☆(2)
- The Beauty and Joy of Computing - AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)
- Introduction to Accounting Data Analytics and Visualization from University of Illinois at Urbana-Champaign ★★★★★(2)
- Software Engineering: Introduction from The University of British Columbia ★★★☆☆(2)
- Web Design: Strategy and Information Architecture from California Institute of the Arts ★★★★★(2)
- Introduction to Software Testing from University of Minnesota ★★★★★(2)
- TCP/IP and Advanced Topics from University of Colorado System ★★★★☆(2)
- Introduction to Cybersecurity for Business from University of Colorado System ★★★★★(2)
- Introduzione all'informatica from University of Naples Federico II ★★★★★(2)
- Introduction to the Internet of Things (IoT) from Curtin University ★★★☆☆(2)
- C Programming: Pointers and Memory Management from Dartmouth College ★★★★★(2)
- C Programming: Language Foundations from Dartmouth College ★★★★★(2)
- Linux Basics: The Command Line Interface from Dartmouth College ★★★★★(2)
- C Programming: Using Linux Tools and Libraries from Dartmouth College ★★★★★(2)
- Think. Create. Code from University of Adelaide ★★★★★(2)
- Introduction to HTML and JavaScript from Microsoft ★★★★★(2)
- Introduction to NodeJS from Microsoft ★★★★★(2)
- Introduction to Database Queries from New York University (NYU) ★★★★★(2)
- Software Engineering Essentials from Technische Universität München (Technical University of Munich) ★★★★☆(2)
- Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de Chile ★★★★★(2)
- MongoDB Basics
- CS50's AP® Computer Science Principles from Harvard University ★★★★★(1)
- CS50's Mobile App Development with React Native from Harvard University ★★★★☆(1)
- Databases: JSON Data from Stanford University ★☆☆☆☆(1)
- Building Database Applications in PHP from University of Michigan ★★★★★(1)
- Building Web Applications in Django from University of Michigan ★★★★★(1)
- Computer Science: Programming with a Purpose from Princeton University ★★★★★(1)
- Introduction to Computer Programming from University of London International Programmes ★★★★★(1)
- Cyber Security Fundamentals from University of London International Programmes ★★★★★(1)
- Principles of Secure Coding from University of California, Davis ★★★★★(1)
- Python Data Visualization from Rice University ★★★★★(1)
- Programming with Scratch from The Hong Kong University of Science and Technology ★★☆☆☆(1)
- Cyber Security Economics from Delft University of Technology ★★☆☆☆(1)
- Proactive Computer Security from University of Colorado System ★★★★★(1)
- Introduction à la programmation orientée objet (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
- NoSQL Databases from University of Maryland, Baltimore County ★★☆☆☆(1)
- Introduction to TCP/IP from Yonsei University ★★★★★(1)
- Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo ★★★★★(1)
- Writing Professional Code from Microsoft ★☆☆☆☆(1)
- AI for Everyone: Master the Basics from IBM ★★★★★(1)
- Introduction to Cloud Computing from IBM ★★★★★(1)
- Introduction to Cyber Attacks from New York University (NYU) ★★★★★(1)
- Lernen objekt-orientierter Programmierung from Technische Universität München (Technical University of Munich) ★★★★★(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)
- Diseño Web con HTML5 + CSS from Universitas Telefónica ★☆☆☆☆(1)
- Data Privacy Fundamentals from Northeastern University ★★★★★(1)
- ES6 - JavaScript Improved
- Applications of TinyML from Harvard University
- Deploying TinyML from Harvard University
- Databases: Unified Modeling Language from Stanford University
- Databases: Indexes and Transactions from Stanford University
- Databases: On-Line Analytical Processing from Stanford University
- Databases: OLAP and Recursion from Stanford University
- Databases: Semistructured Data from Stanford University
- Databases: Modeling and Theory from Stanford University
- Hacker Tools from Massachusetts Institute of Technology
- Understanding the World Through Data from Massachusetts Institute of Technology
- Computational Thinking for Problem Solving from University of Pennsylvania
- AI Fundamentals for Non-Data Scientists from University of Pennsylvania
- Django Features and Libraries from University of Michigan
- Web Application Technologies and Django from University of Michigan
- Web Application Technologies and Django from University of Michigan
- Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
- The Power of Object-Oriented Programming from University of Michigan
- Introduction to DevSecOps from Johns Hopkins University
- The Blockchain System from University of California, Irvine
- Data, Security, and Privacy from University of California, Irvine
- Productivity and Systems Development from University of California, Irvine
- The Nature of Data and Relational Database Design from University of California, Irvine
- The Beauty and Joy of Computing (CS Principles), Part 1 from University of California, Berkeley
- 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
- Programming Fundamentals from Duke University
- Interacting with the System and Managing Memory from Duke University
- Introduction to Programming and Animation with Alice from Duke University
- Cloud Computing Foundations from Duke University
- Human Factors in AI from Duke University
- Big Data Analytics in Healthcare from Georgia Institute of Technology
- Data Analysis and Visualization from Georgia Institute of Technology
- Introduction to Cybersecurity from University of Washington
- Introduction to Internationalization and Localization from University of Washington
- Applied Analytics and Data for Decision Making from University at Buffalo
- 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
- Artificial Intelligence in Marketing from University of Virginia
- Identifying Security Vulnerabilities from University of California, Davis
- Evidence and Data Collection for Problem Solving from University of Leeds
- Python Data Analysis from Rice University
- Введение в базы данных from St. Petersburg State Polytechnic University
- Cloud Security Basics from University of Minnesota
- Foundations of Data Analytics from The Hong Kong University of Science and Technology
- AP Computer Science A: Java Programming Classes and Objects from Purdue University
- AP Computer Science A: Java Programming Loops and Data Structures from Purdue University
- AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from Purdue University
- Cybersecurity for Everyone from University of Maryland, College Park
- What is “the mind” and what is artificial intelligence? from University of Colorado Boulder
- Cybersecurity for Data Science from University of Colorado Boulder
- Trees and Graphs: Basics from University of Colorado Boulder
- Data Science as a Field from University of Colorado Boulder
- Fundamentals of Data Visualization from University of Colorado Boulder
- Relational Database Design from University of Colorado Boulder
- Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
- AI in Practice: Preparing for AI from Delft University of Technology
- AI in Practice: Applying AI from Delft University of Technology
- Software Design Methods and Tools from University of Colorado System
- 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
- Shell Programming - A necessity for all Programmers from Indian Institute of Technology Bombay
- Basi di dati from University of Naples Federico II
- Programmazione I from University of Naples Federico II
- Foundations of Data Science from Indian Institute of Management Bangalore
- Relational Database Design from University System of Maryland
- Relational Database Management Systems from University System of Maryland
- Video Game Design and Balance from Rochester Institute of Technology
- Deep Learning for Business from Yonsei University
- Technologies and platforms for Artificial Intelligence from Politecnico di Milano
- Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid
- Introducción a UML from Universidad de los Andes
- Web of Data from EIT Digital
- Blockchain for the decision maker from EIT Digital
- C Programming: Getting Started from Dartmouth College
- C Programming: Advanced Data Types from Dartmouth College
- 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 Design Thinking from Microsoft
- AI Fundamentals from Microsoft
- Introduction to Web Development with HTML5, CSS3, and JavaScript from IBM
- NoSQL Database Basics from IBM
- Relational Database Administration (DBA) from IBM
- Introduction to Web Development with HTML, CSS, JavaScript from IBM
- Introduction to DevOps from IBM
- Cyber Attack Countermeasures from New York University (NYU)
- Information Security - Authentication and Access Control from New York University (NYU)
- Penetration Testing - Exploitation from New York University (NYU)
- A Beginner’s Guide to Becoming a Blockchain Developer with Overledger from King's College London
- Introduction to Quantum Computing for Everyone from The University of Chicago
- Introduction to Quantum Computing for Everyone 2 from The University of Chicago
- Machine Learning: Concepts and Applications from The University of Chicago
- Introduction to Blockchain Technology and Applications from University College London
- Introduction to Open Source Networking Technologies from Linux Foundation
- Data and AI Fundamentals from Linux Foundation
- Programming Languages Ⅰ from Korea Advanced Institute of Science and Technology
- Programming Languages Ⅱ from Korea Advanced Institute of Science and Technology
- C for Everyone: Structured Programming from University of California, Santa Cruz
- Data Visualization for All from Trinity College
- 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
- Introduction to Computer Science and Programming from Tokyo Institute of Technology
- Understanding Quantum Computers from Keio University
- DevOps with Kubernetes from University of Helsinki
- DevOps with Docker from University of Helsinki
- Programming with GUIs from Raspberry Pi Foundation
- Programming 102: Think Like a Computer Scientist from Raspberry Pi Foundation
- Machine Learning Basics from Sungkyunkwan University
- Introduction to MongoDB from MongoDB University
- Programación Orientada a Objetos (POO) from MéxicoX
- Information Technology Foundations from Western Governors University
- Scripting and Programming Foundations from Western Governors University
- HTTP & Web Servers
Intermediate (457)
- Using Databases with Python from University of Michigan ★★★★★(4060)
- R Programming from Johns Hopkins University ★★★☆☆(246)
- The Data Scientist’s Toolbox from Johns Hopkins University ★★★☆☆(166)
- Machine Learning for Musicians and Artists from Goldsmiths University of London ★★★★★(89)
- 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)
- Data Science and Agile Systems for Product Management from University System of Maryland ★★★★★(62)
- Algorithms, Part I from Princeton University ★★★★★(59)
- Getting and Cleaning Data from Johns Hopkins University ★★★☆☆(57)
- Cryptography I from Stanford University ★★★★★(53)
- Intelligenza Artificiale from University of Urbino ★★★★★(49)
- Python for Data Science from University of California, San Diego ★★★★☆(47)
- Introduction to Data Science in Python from University of Michigan ★★☆☆☆(46)
- Object-Oriented Design from University of Alberta ★★★★☆(39)
- Introduction to Big Data from University of California, San Diego ★★★☆☆(35)
- Making Sense of Data in the Media from The University of Sheffield ★★★★★(35)
- Statistical Inference from Johns Hopkins University ★★★☆☆(34)
- Regression Models from Johns Hopkins University ★★★☆☆(34)
- Probability and Statistics in Data Science using Python from University of California, San Diego ★★☆☆☆(31)
- CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(30)
- Principles of Computing (Part 1) from Rice University ★★★★★(30)
- Reproducible Research from Johns Hopkins University ★★★★☆(27)
- Practical Machine Learning from Johns Hopkins University ★★★☆☆(27)
- Programming Languages, Part A from University of Washington ★★★★★(27)
- Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(27)
- Mining Massive Datasets from Stanford University ★★★★★(25)
- A Crash Course in Data Science from Johns Hopkins University ★★★★☆(25)
- Design Patterns from University of Alberta ★★★★★(25)
- Software Security from University of Maryland, College Park ★★★★☆(24)
- Algorithmic Toolbox from University of California, San Diego ★★★★☆(23)
- Introducción a la Inteligencia Artificial: Principales Algoritmos from Galileo University ★★★★★(22)
- Algorithms, Part II from Princeton University ★★★★★(21)
- Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(21)
- Data Visualization from University of Illinois at Urbana-Champaign ★★★☆☆(21)
- Learning From Data (Introductory Machine Learning) from California Institute of Technology ★★★★★(21)
- Statistics and R from Harvard University ★★★★☆(20)
- Automata Theory from Stanford University ★★★★☆(20)
- Introduction to Machine Learning Course from Stanford University ★★★★☆(20)
- Data Analysis with R from Facebook ★★★★★(18)
- MongoDB for Java Developers
- Process Mining: Data science in Action from Eindhoven University of Technology ★★★★☆(17)
- Data Structures from University of California, San Diego ★★★★☆(16)
- Principles of Computing (Part 2) from Rice University ★★★★☆(16)
- Software Architecture from University of Alberta ★★★★☆(16)
- How to Code: Simple Data from The University of British Columbia ★★★★☆(15)
- Algorithmic Thinking (Part 1) from Rice University ★★★★☆(15)
- The Nature of Code from Processing Foundation ★★★★★(15)
- Design of Computer Programs from Stanford University ★★★★☆(14)
- Python for Genomic Data Science from Johns Hopkins University ★★★☆☆(14)
- Building a Data Science Team from Johns Hopkins University ★★★★☆(14)
- Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(14)
- Responsive Web Design from University of London International Programmes ★★★★☆(14)
- Data Analysis: Take It to the MAX() from Delft University of Technology ★★★☆☆(13)
- Intro to Data Science
- Using Python for Research from Harvard University ★★★★☆(12)
- Data Science in Real Life from Johns Hopkins University ★★★☆☆(12)
- Data Science Math Skills from Duke University ★★★★☆(12)
- Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues from Georgia Institute of Technology ★★★★★(12)
- Discrete Optimization from University of Melbourne ★★★★☆(12)
- Introduction to Software Product Management from University of Alberta ★★★★☆(12)
- Data Science: R Basics from Harvard University ★★★★★(11)
- Interactivity with JavaScript from University of Michigan ★★★★☆(11)
- Human-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of Technology ★★★★★(11)
- Biology Meets Programming: Bioinformatics for Beginners from University of California, San Diego ★★★☆☆(10)
- Programming Languages from University of Virginia ★★★☆☆(10)
- Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)
- Full Stack Foundations
- Managing Data Analysis from Johns Hopkins University ★★★☆☆(9)
- Data Visualization and Communication with Tableau from Duke University ★★★★☆(9)
- 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)
- Data Wrangling with MongoDB from MongoDB University ★★★☆☆(9)
- Advanced Styling with Responsive Design from University of Michigan ★★★★☆(8)
- Machine Learning Fundamentals from University of California, San Diego ★★★★☆(8)
- Foundations of Data Analysis - Part 1: Statistics Using R from The University of Texas at Austin ★★★★☆(8)
- Cryptography from University of Maryland, College Park ★★★★☆(8)
- MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(8)
- Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(7)
- Guided Tour of Machine Learning in Finance from New York University (NYU) ★☆☆☆☆(7)
- Software Testing from University of Utah ★★★★☆(7)
- Intro to DevOps from Nutanix ★★★☆☆(7)
- Computer Graphics from University of California, San Diego ★★★★☆(6)
- Data Structures and Performance from University of California, San Diego ★★★★☆(6)
- Internet of Things: How did we get here? from University of California, San Diego ★★☆☆☆(6)
- Computer Architecture from Princeton University ★★★★☆(6)
- Analysis of Algorithms from Princeton University ★★★★☆(6)
- Managing Big Data with MySQL from Duke University ★★★★☆(6)
- Computer Networking from Georgia Institute of Technology ★★★★☆(6)
- Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps from Georgia Institute of Technology ★★★★★(6)
- Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(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)
- Interactive Computer Graphics from University of Tokyo ★★★☆☆(6)
- Fundamentals of Machine Learning from Santa Fe Institute ★★★★★(6)
- Software Debugging from Saarland University ★★★★★(6)
- Intro to Algorithms
- Intro to AJAX
- Intro to Data Analysis
- Networking for Web Developers
- Software Construction in Java from Massachusetts Institute of Technology ★★★★★(5)
- Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego ★★★☆☆(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)
- Social Network Analysis from University of California, Davis ★★★★★(5)
- Database Management Essentials from University of Colorado System ★★★★☆(5)
- Data Management and Visualization from Wesleyan University ★★☆☆☆(5)
- JavaScript Promises from Google ★★★★★(5)
- Data Science Essentials from Microsoft ★★★★☆(5)
- Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science ★★★★☆(5)
- Parallel Programming Concepts
- Data Visualization and D3.js
- Algorithms on Strings from University of California, San Diego ★★★☆☆(4)
- The R Programming Environment from Johns Hopkins University ★★★☆☆(4)
- Data Manipulation at Scale: Systems and Algorithms from University of Washington ★★★☆☆(4)
- Programming Languages, Part B from University of Washington ★★★★☆(4)
- Data Analysis Tools from Wesleyan University ★★★☆☆(4)
- Querying Data with Transact-SQL from Microsoft ★★★★☆(4)
- Programming with Python for Data Science from Microsoft ★★★★☆(4)
- Practical Numerical Methods with Python from George Washington University ★★★★☆(4)
- Algorithms on Graphs from University of California, San Diego ★★★★☆(3)
- Internet of Things: Communication Technologies from University of California, San Diego ★★★☆☆(3)
- Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
- Big Data Modeling and Management Systems from University of California, San Diego ★★★☆☆(3)
- Big Data Integration and Processing from University of California, San Diego ★★★★☆(3)
- Algorithmic Design and Techniques from University of California, San Diego ★★★★☆(3)
- Machine Learning: Unsupervised Learning from Brown University ★★★☆☆(3)
- Software Architecture & Design from Georgia Institute of Technology ★★★★★(3)
- Human-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of Technology ★★★★★(3)
- Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms from Georgia Institute of Technology ★★★★★(3)
- Framework for Data Collection and Analysis from University of Maryland, College Park ★★★★☆(3)
- Data Warehouse Concepts, Design, and Data Integration from University of Colorado System ★★★☆☆(3)
- Service-Oriented Architecture from University of Alberta ★★★★☆(3)
- Website Performance Optimization from Google ★★★★☆(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)
- Data Mining with Weka from University of Waikato ★★★★☆(3)
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- Configuring Linux Web Servers
- Language, Proof and Logic from Stanford University ★★★★★(2)
- Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
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- Building R Packages from Johns Hopkins University ★★★☆☆(2)
- Data Science: Computational Thinking with Python from University of California, Berkeley ★★★★★(2)
- Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
- Introduction to Machine Learning from Duke University ★★★★☆(2)
- Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of Technology ★★★★★(2)
- Programming Languages, Part C from University of Washington ★★★★☆(2)
- Data Analytics Foundations for Accountancy I from University of Illinois at Urbana-Champaign ★☆☆☆☆(2)
- Object-Oriented Data Structures in C++ from University of Illinois at Urbana-Champaign ★★★★☆(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)
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- Software Testing Management from University System of Maryland ★★☆☆☆(2)
- Web Application Development: Basic Concepts from University of New Mexico ★★★★★(2)
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- Introduction to Computation Theory from Santa Fe Institute ★★★★★(2)
- Developing International Software, Part 1 from Microsoft ★★★★☆(2)
- Principles of Machine Learning from Microsoft ★★★★★(2)
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- Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology ★★☆☆☆(1)
- Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)
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- Programming for the Internet of Things Project from University of California, Irvine ★★★★☆(1)
- Intro to Analytic Thinking, Data Science, and Data Mining from University of California, Irvine ★★★★★(1)
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- Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms from Georgia Institute of Technology ★★★★★(1)
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- Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability from Delft University of Technology ★★★★☆(1)
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- Advanced Algorithmics and Graph Theory with Python from Institut Mines-Télécom ★★★★★(1)
- Browser Rendering Optimization from Google ★★★★☆(1)
- Google Maps APIs from Google ★★★★★(1)
- Cybersecurity and Mobility from University System of Georgia ★☆☆☆☆(1)
- Developing SQL Databases from Microsoft ★★☆☆☆(1)
- Introduction to TypeScript 2 from Microsoft ★☆☆☆☆(1)
- Building Interactive Prototypes using JavaScript from Microsoft ★★★★☆(1)
- Introduction to C# from Microsoft ★☆☆☆☆(1)
- Algorithms and Data Structures from Microsoft ★★☆☆☆(1)
- Algorithms and Data Structures in C# from Microsoft ★★★★★(1)
- 2D Game Development with libGDX from Amazon ★★★★★(1)
- Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(1)
- Advanced Database Queries from New York University (NYU) ★★★★★(1)
- Advanced Database Administration from New York University (NYU) ★★★★★(1)
- Introduction to Cloud Infrastructure Technologies from Linux Foundation ★★★★☆(1)
- 用Python玩转数据 Data Processing Using Python from Nanjing University ★★★★★(1)
- Data Processing Using Python from Nanjing University ★★★☆☆(1)
- Fundamentals of Parallelism on Intel Architecture from Intel ★★★★★(1)
- An Introduction to Practical Deep Learning from Intel ★★★☆☆(1)
- How to Win Coding Competitions: Secrets of Champions from ITMO University ★★★☆☆(1)
- Hacker101 from HackerOne ★★★★★(1)
- Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario ★★★★★(1)
- Technical Interview from Pramp ★★★★★(1)
- Designing RESTful APIs
- MongoDB for Javascript Developers
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- Probabilistic Graphical Models 3: Learning from Stanford University
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford University
- Algorithms: Design and Analysis, Part 1 from Stanford University
- Algorithms: Design and Analysis, Part 2 from Stanford University
- Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology
- Advanced Software Construction in Java from Massachusetts Institute of Technology
- Mobile Application Experiences from Massachusetts Institute of Technology
- Machine Learning for Healthcare from Massachusetts Institute of Technology
- Data Structures and Software Design from University of Pennsylvania
- Algorithm Design and Analysis from University of Pennsylvania
- Data Analysis Using Python from University of Pennsylvania
- Building Web Applications in Django from University of Michigan
- Django Features and Libraries from University of Michigan
- Web Application Technologies and Django from University of Michigan
- Building Web Applications in Django from University of Michigan
- Django Features and Libraries from University of Michigan
- Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal from University of Michigan
- Intro to AR/VR/MR/XR: Technologies, Applications & Issues from University of Michigan
- Introduction to Machine Learning in Sports Analytics from University of Michigan
- Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
- Introduction to Neurohacking In R from Johns Hopkins University
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- Exploratory Data Analysis from Johns Hopkins University
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- Data Science: Machine Learning and Predictions from University of California, Berkeley
- Blockchain Technology from University of California, Berkeley
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- Data Structures Fundamentals from University of California, San Diego
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- Computer Science: Algorithms, Theory, and Machines from Princeton University
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- Cloud Virtualization, Containers and APIs from Duke University
- Machine Learning Foundations for Product Managers from Duke University
- Managing Machine Learning Projects from Duke University
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- Human-Computer Interaction from Georgia Institute of Technology
- Software Analysis & Testing from Georgia Institute of Technology
- Introduction to Graduate Algorithms from Georgia Institute of Technology
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- Finding Your Cybersecurity Career Path from University of Washington
- Machine Teaching for Autonomous AI from University of Washington
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- Building Autonomous AI from University of Washington
- Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign
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- Ordered Data Structures from University of Illinois at Urbana-Champaign
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- Intro to Progressive Web Apps from Google
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- Application Design Considerations: An Inclusive Approach from Microsoft
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- Network Security & Database Vulnerabilities from IBM
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- Enterprise and Infrastructure Security from New York University (NYU)
- Information Security - Introduction to Information Security from New York University (NYU)
- Information Security - Advanced topics from New York University (NYU)
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- Artificial Intelligence (AI) from Columbia University ★★★★☆(12)
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- Hardware Security from University of Maryland, College Park ★★★☆☆(10)
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- Graph Analytics for Big Data from University of California, San Diego ★★★☆☆(6)
- Machine Learning from Georgia Institute of Technology ★★★★☆(6)
- Advanced Operating Systems from Georgia Institute of Technology ★★★★★(6)
- Interactive 3D Graphics from Autodesk ★★★★☆(6)
- Model Building and Validation from AT&T ★★☆☆☆(6)
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- Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(5)
- Sparse Representations in Image Processing: From Theory to Practice from Technion - Israel Institute of Technology ★★★★★(5)
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- Applied Social Network Analysis in Python from University of Michigan ★★★★☆(3)
- Practical Predictive Analytics: Models and Methods from University of Washington ★★☆☆☆(3)
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- Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology ★★★☆☆(2)
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- Intro to Information Security from Georgia Institute of Technology ★★☆☆☆(2)
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- Deep Learning and Reinforcement Learning from IBM ★★★☆☆(1)
- Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation ★★★★★(1)
- Sparse Representations in Signal and Image Processing: Fundamentals from Technion - Israel Institute of Technology ★★★★★(1)
- AI for Medical Diagnosis from DeepLearning.AI ★★★★☆(1)
- Big Data Science with the BD2K-LINCS Data Coordination and Integration Center from Icahn School of Medicine at Mount Sinai ★★★★☆(1)
- Security Operations and Administration from (ISC)² ★★★★★(1)
- Systems and Application Security from (ISC)² ★★★★☆(1)
- Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)² ★★★★☆(1)
- Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
- Unsupervised Learning, Recommenders, Reinforcement Learning from DeepLearning.AI
- Advanced Learning Algorithms from DeepLearning.AI
- Real-Time Audio Signal Processing in Faust from Stanford University
- Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
- Number Theory and Cryptography from University of California, San Diego
- Introduction to Concurrent Programming with GPUs from Johns Hopkins University
- Cryptography and Hashing Overview from University of California, Irvine
- Predictive Modeling, Model Fitting, and Regression Analysis from University of California, Irvine
- Cluster Analysis, Association Mining, and Model Evaluation from University of California, Irvine
- Data Science: Inferential Thinking through Simulations from University of California, Berkeley
- Molecular Evolution (Bioinformatics IV) from University of California, San Diego
- Finding Mutations in DNA and Proteins (Bioinformatics VI) from University of California, San Diego
- Dynamic Programming: Applications In Machine Learning and Genomics from University of California, San Diego
- NP-Complete Problems from University of California, San Diego
- Design Thinking and Predictive Analytics for Data Products from University of California, San Diego
- Deploying Machine Learning Models from University of California, San Diego
- Meaningful Predictive Modeling from University of California, San Diego
- High Performance Computing from Georgia Institute of Technology
- GT - Refresher - Advanced OS from Georgia Institute of Technology
- Artificial Intelligence from Georgia Institute of Technology
- Cyber-Physical Systems Security from Georgia Institute of Technology
- Compilers: Theory and Practice from Georgia Institute of Technology
- FA17: Machine Learning from Georgia Institute of Technology
- Machine Learning from Georgia Institute of Technology
- Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
- Predictive Analytics using Machine Learning from University of Edinburgh
- Plant Bioinformatics from University of Toronto
- Advanced Modeling for Discrete Optimization from University of Melbourne
- Basic Modeling for Discrete Optimization from University of Melbourne
- 离散优化建模基础篇 Basic Modeling for Discrete Optimization from The Chinese University of Hong Kong
- 离散优化建模高阶篇 Advanced 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
- Solving Algorithms for Discrete Optimization from University of Melbourne
- Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions from Rice University
- Quantum Cryptography from California Institute of Technology
- LAFF-On Programming for High Performance from The University of Texas at Austin
- Machine Learning from The University of Texas at Austin
- Обработка изображений from Higher School of Economics
- Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota
- Recommender Systems: Evaluation and Metrics from University of Minnesota
- Matrix Factorization and Advanced Techniques from University of Minnesota
- Computer Applications of Artificial Intelligence and e-Construction from Purdue University
- Combining and Analyzing Complex Data from University of Maryland, College Park
- Introduction to High-Performance and Parallel Computing from University of Colorado Boulder
- Statistical Inference for Estimation in Data Science from University of Colorado Boulder
- Classical Cryptosystems and Core Concepts from University of Colorado System
- Mathematical Foundations for Cryptography from University of Colorado System
- Cryptographic Hash and Integrity Protection from University of Colorado System
- Cryptography and Information Theory from University of Colorado System
- MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
- Optimization: principles and algorithms - Linear optimization from École Polytechnique Fédérale de Lausanne
- Optimization: principles and algorithms - Network and discrete optimization from École Polytechnique Fédérale de Lausanne
- Optimization: principles and algorithms - Unconstrained nonlinear optimization from École Polytechnique Fédérale de Lausanne
- Il linguaggio naturale, dall'uomo alla macchina from University of Naples Federico II
- Machine Learning e Data Mining in R from University of Naples Federico II
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations from National Taiwan University
- 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic) from National Taiwan University
- 人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory) from National Taiwan University
- Operations Research (1): Models and Applications from National Taiwan University
- Operations Research (2): Optimization Algorithms from National Taiwan University
- Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México
- Razonamiento artificial from Universidad Nacional Autónoma de México
- DNA Sequences: Alignments and Analysis from University System of Maryland
- 计算几何 | Computational Geometry from Tsinghua University
- Big Data Machine Learning | 大数据机器学习 from Tsinghua University
- 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
- System Validation (3): Requirements by modal formulas from EIT Digital
- Approximation Algorithms from EIT Digital
- Automated Reasoning: Symbolic Model Checking from EIT Digital
- Generative Modelling from National University of Singapore
- Performative Modelling from National University of Singapore
- Infrastructure as Code from Microsoft
- DevOps Testing from Microsoft
- DevOps for Databases from Microsoft
- Secure Software Development: Verification and More Specialized Topics from Linux Foundation
- Secure Software Development: Requirements, Design, and Reuse from Linux Foundation
- Introduction to RISC-V from Linux Foundation
- Building a RISC-V CPU Core from Linux Foundation
- RISC-V Toolchain and Compiler Optimization Techniques from Linux Foundation
- Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
- Introduction to Statistical Methods for Gene Mapping from Kyoto University
- AI for Medical Prognosis from DeepLearning.AI
- AI For Medical Treatment from DeepLearning.AI
- Build Basic Generative Adversarial Networks (GANs) from DeepLearning.AI
- Build Better Generative Adversarial Networks (GANs) from DeepLearning.AI
- Apply Generative Adversarial Networks (GANs) from DeepLearning.AI
- Generative Deep Learning with TensorFlow from DeepLearning.AI
- Custom Models, Layers, and Loss Functions with TensorFlow from DeepLearning.AI
- Deploying Machine Learning Models in Production from DeepLearning.AI
- Machine Learning Modeling Pipelines in Production from DeepLearning.AI
- Machine Learning Data Lifecycle in Production from DeepLearning.AI
- Introduction to Machine Learning in Production from DeepLearning.AI
- Computer System Design: Advanced Concepts of Modern Microprocessors from Chalmers University of Technology
- Approximation Algorithms Part II from École normale supérieure
- Reliable Distributed Algorithms - Part 2 from KTH Royal Institute of Technology
- Access Controls from (ISC)²
- Networks and Communications Security from (ISC)²
- Optimizing Machine Learning Performance from Alberta Machine Intelligence Institute