Courses

Awesome Courses

1.3k stars202 forks131 entriesLast push Feb 24, 2022 (4 years ago)License none

This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.

Algorithms

Algorithmic thinking

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Algorithms (2010)

Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. 🆓

In 2 lists

Algorithms specialization

Paid Content. / Coursera(Stanford University).

In 2 lists

Algorithms: Part 1

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Algorithms: Part 2

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In 2 lists

Data structures (2016)

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In 2 lists

Data structures (2017)

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Design and analysis of algorithms (2012)

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Evolutionary computation (2014)

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Introduction to programming contests (2012)

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In 2 lists

MIT advanced data structures (2014)

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MIT introduction to algorithms

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Artificial Intelligence

Berkeley intro to ai (2014)

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In 3 lists

MIT artificial intelligence (2010)

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The society of mind (2011)

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Business

Gamification

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Chemistry

Bioinformatics specialization

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Compilers

Principles of compiler design (2016)

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Stanford compiler construction (2016)

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In 2 lists

Computer Science

Computational complexity (2008)

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Computer science 101

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Data structures

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Great ideas in computer architecture (2015)

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Information retrieval (2013)

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MIT great ideas in theoretical computer science

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In 2 lists

MIT Mathematics for Computer Science (2010)

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MIT Structure and Interpretation of Programs (1986)

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Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity (2018)

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Software foundations (2014)

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The art of recursion (2012)

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Computer vision

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In 2 lists

Introduction to computer vision (2015)

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Programming computer vision with python (2012)

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In 2 lists

Cryptocurrency

Bitcoin and Cryptocurrency Technologies

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Cryptography

Stanford cryptography I

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In 4 lists

Stanford cryptography II (2017)

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In 2 lists

CSS

CSS Grid by Wes Bos

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Decentralized systems

MIT Decentralized Applications (2018)

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Deep Learning

Advanced Deep Learning & Reinforcement Learning (2018)

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Berkeley deep reinforcement learning (2017)

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Deep learning (2017)

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In 2 lists

Stanford natural language processing with deep learning (2017)

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Deep learning at Oxford (2015)

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In 3 lists

Lectures

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Oxford CS Deep NLP (2017)

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In 4 listsDetails

Ucl reinforcement learning (2015)

Stanford convolutional neural networks for visual recognition

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In 2 lists

Stanford deep learning for natural language processing

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In 4 lists

Discrete math

Discrete Mathematics and Probability Theory

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Functional programming

Course in functional programming by KTH

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Functional Programming Course

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Programming paradigms (2018)

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Functional Programming in OCaml (2019)

Game development

HTML5 game development

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Haskell

Advanced Programming (2017)

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Haskell ITMO (2017)

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Introduction to Haskell (2016)

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Stanford functional systems in Haskell (2014)

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In 2 lists

Investing

Computational investing

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iOS

Developing iOS 10 apps with Swift (2017)

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Machine learning

MIT Deep Learning (2019)

Amazon’s Machine Learning University course (2018)

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Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

Get hands-on experience optimizing, deploying, and scaling production ML models. 💰

Artificial intelligence for robotics

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In 2 lists

Coursera machine learning

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In 11 listsDetails

Introduction to Deep Learning (2018)

Introductory course on deep learning algorithms and their applications. 🆓

In 2 lists

Introduction to Machine Learning for Coders

The course covers the most important practical foundations for modern machine learning. 🆓

In 2 lists

Introduction to matrix methods (2015)

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In 2 lists

Learning from data (2012)

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In 3 lists

Machine Learning Crash Course (2018)

Google's fast-paced, practical introduction to machine learning. 🆓

In 7 listsDetails

Machine learning for data science (2015)

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Machine learning in Python with scikit-learn

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In 2 lists

Machine Learning with TensorFlow on Google Cloud Platform Specialization

Learn ML with Google Cloud. Real-world experimentation with end-to-end ML. 💰

Mathematics of Deep Learning, NYU, Spring (2018)

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mlcourse.ai

Open Machine Learning course by OpenDataScience. 🆓

Neural networks for machine learning

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Notes

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Practical Deep Learning For Coders (2018)

Learn how to build state of the art models without needing graduate-level math. 🆓

In 3 lists

Statistical learning (2015)

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In 2 lists

Tensorflow for deep learning research (2017)

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In 2 lists

Math

Abstract algebra (2019)

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MIT linear algebra (2010)

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MIT multivariable calculus (2007)

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MIT multivariable calculus by Prof. Denis Auroux

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MIT multivariable control systems (2004)

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MIT singlevariable calculus (2006)

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Nonlinear dynamics and chaos (2014)

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Stanford mathematical foundations of computing (2016)

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In 2 lists

Types, Logic, and Verification (2013)

Networking

Introduction to computer networking

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Introduction to EECS II: digital communication systems (2012)

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Neuroscience

The Human Brain (2018)

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Natural Language Processing

YSDA Natural Language Processing course (2018)

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In 4 listsDetails

Operating systems

Computer Science 162

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Computer science from the bottom up

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How to make a computer operating system (2015)

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In 4 lists

Operating system engineering

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Programming

Build a modern computer from first principles: from nand to tetris

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In 2 lists

Introduction to programming with matlab

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MIT software construction (2016)

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In 2 lists

MIT structure and interpretation of computer programs (2005)

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Stanford C Programming

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Structure and interpretation of computer programs (in Python) (2017)

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In 2 lists

Unix tools and scripting (2014)

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Composing Programs

Free online introduction to programming and computer science.

In 2 lists

React

Advanced React Patterns (2017)

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Beginner's guide to React (2017)

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In 2 lists

Survive JS: React, From apprentice to master

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Building React Applications with Idiomatic Redux

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In 4 lists

Complete intro to React v4 (2018)

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Leverage New Features of React 16 (2018)

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React Holiday (2017)

React through examples. 🆓

ReasonML

Get Started with Reason (2018)

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In 2 lists

Rust

Rust programming (2016)

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In 2 lists

Scala

Functional programming principles in scala

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In 2 lists

Security

Computer and network security (2013)

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Hacker101 (2018)

Free class for web security. 🆓

In 2 lists

Statistics

Introduction to probability - the science of uncertainty

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MIT probabilistic systems analysis and applied probability (2010)

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Statistical Learning (2016)

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Statistics 110

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Swift

Hacking with Swift (2018)

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Type theory

Homotopy Type Theory (2014)

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Vim

Vim valley

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Web Development

Cutting-edge web technologies (2015)

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Interactive Flexbox course (2018)

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In 2 lists

Awesome artificial intelligence

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In 7 listsDetails

Awesome courses

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In 8 listsDetails

CS video courses

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In 5 listsDetails

Data science courses

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In 2 lists

Dive into machine learning

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In 4 listsDetails

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