Awesome Courses 
Please read the contribution guidelines before contributing.
The number after the course name stands for the year in which the course was made in. All courses are put in their respective category and are sorted from oldest to newest. If no year was found for the course, it is put in the end of the list.
Contents
- Compilers
- Statistics
- iOS
- Investing
- Security
- Business
- Cryptography
- Web Development
- Game development
- Chemistry
- Operating systems
- Algorithms
- Functional programming
- Math
- Networking
- Neuroscience
- Computer vision
- Artificial Intelligence
- Machine learning
- Computer Science
- Deep Learning
- Haskell
- Rust
- Scala
- Programming
- CSS
- Related
Compilers
Statistics
- Introduction to probability - the science of uncertainty
- MIT probabilistic systems analysis and applied probability (2010)
- Statistics 110
iOS
Investing
Security
- Computer and network security (2013)
- Hacker101 (2018) - Free class for web security.
Business
Cryptography
Cryptocurrency
Web Development
React
- Advanced React Patterns (2017)
- Beginner's guide to React (2017)
- React Holiday (2017) - React through examples.
- Leverage New Features of React 16 (2018)
- Building React Applications with Redux
- Building React Applications with Idiomatic Redux
Game development
Chemistry
Operating systems
- How to make a computer operating system (2015)
- Operating system engineering
- Computer science from the bottom up
- Computer Science 162
Algorithms
- Algorithms (2010) - Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms.
- Design and analysis of algorithms (2012)
- Introduction to programming contests (2012)
- MIT advanced data structures (2014)
- Evolutionary computation (2014)
- Data structures (2016)
- Data structures (2017)
- Algorithms: Part 1
- MIT introduction to algorithms
- Algorithms: Part 2
- Algorithmic thinking
- Algorithms specialisation
Functional programming
Vim
Math
- MIT multivariable control systems (2004)
- MIT singlevariable calculus (2006)
- MIT multivariable calculus (2007)
- MIT linear algebra (2010)
- Nonlinear dynamics and chaos (2014)
- Abstract algebra (2014)
- Stanford mathematical foundations of computing (2016)
- MIT multivariable calculus by Prof. Denis Auroux
Discrete math
Neuroscience
Networking
Computer vision
- Programming computer vision with python (2012)
- Introduction to computer vision (2015)
- Computer vision
Artificial Intelligence
Machine learning
- Learning from data (2012)
- Machine learning for data science (2015)
- Introduction to matrix methods (2015)
- Statistical learning (2015)
- Tensorflow for deep learning research (2017)
- Practical Deep Learning For Coders (2018) - Learn how to build state of the art models without needing graduate-level math.
- Introduction to Deep Learning (2018) - Introductory course on deep learning algorithms and their applications.
- Machine Learning Crash Course (2018) - Google's fast-paced, practical introduction to machine learning.
- Mathematics of Deep Learning, NYU, Spring (2018)
- Coursera machine learning
- Artificial intelligence for robotics
- Neural networks for machine learning
- Machine learning in Python with scikit-learn
Computer Science
- Computational complexity (2008)
- The art of recursion (2012)
- Information retrieval (2013)
- Software foundations (2014)
- Great ideas in computer architecture (2015)
- Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity (2018)
- MIT great ideas in theoretical computer science
- Computer science 101
- Data structures
Deep Learning
- Deep learning at Oxford (2015)
- Ucl reinforcement learning (2015)
- Oxford cs deep nlp (2017)
- Deep learning (2017)
- Berkeley deep reinforcement learning (2017)
- Stanford natural language processing with deep learning (2017)
- Stanford deep learning for natural language processing
- Stanford convolutional neural networks for visual recognition
Haskell
- Stanford functional systems in haskell (2014)
- Introduction to haskell (2016)
- Advanced Programming (2017)
- Haskell ITMO (2017)
Rust
Swift
Scala
Programming
- Unix tools and scripting (2014)
- MIT structure and interpretation of computer programs (2005)
- MIT software construction (2016)
- Structure and interpretation of computer programs (in Python) (2017)
- Build a modern computer from first principles: from nand to tetris
- Introduction to programming with matlab
- Stanford C Programming
CSS
Related
- Awesome courses
- Data science courses
- CS video courses
- Awesome artificial intelligence
- Dive into machine learning
Contributing
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