35+ Courses You Can Learn How to Code (for Free)

One of the Most Wonderful Things about the Internet Is the Ability It Gives Us to Access Information. This Superpower Left of Us Use for Something Productive. Living in Today’s World Begins to Be Indispensable to Learn the Languages Spoken by the Machines. We Have at Our Disposal an Enormous Amount of Technological Wonders That Make Our Life Easier, and We Know How They Work.

Programming is the Future of Education and Should Be Taught since We Were Children .

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Algorithms & Data Structures

• Berkeley University CS 61B: Data Structures
• Stanford University Algorithms: Design and Analysis, Part 1
• Stanford University Algorithms:Algorithms: Design and Analysis, Part 2

Assembly

• Introduction To Reverse Engineering Software
• Introductory Intel x86: Architecture, Assembly, Applications, & Alliteration

Android

• Creative, Serious and Playful Science of Android Apps
• Programming Cloud Services for Android Handheld Systems
• Programming Mobile Applications for Android Handheld Systems pt. 1
• Programming Mobile Applications for Android Handheld Systems pt. 2
• Programming Mobile Services for Android Handheld Systems: Communication
• Programming Mobile Services for Android Handheld Systems: Concurrency
• Udacity Android Course Catalog

AngularJS

• CodeCademy Angular
• Shaping up with Angular.js

Bash

• Bash tutorial (PDF)

C

• Introduction to Computer Science

C Sharp

• Beginning Game Programming with C#

C++

• Google’s C++ Course
• Introduction to C++ (MIT’s opencourseware)
• LearnCpp.com C++ Tutorial

Clojure

• Functional Programming with Clojure

Compilers

• Stanford’s Compilers

Cuda

• Intro to Parallel Programming Using CUDA to Harness the Power of GPUs

Databases

• Database Systems (MIT’s opencourseware)
• Introduction to Databases (Stanford University)

Deep Learning

• Convolutional Neural Networks for Visual Recognition
• Deep Learning for Natural Language Processing
• Self-Paced Courses for Deep Learning
• Unsupervised Feature Learning and Deep Learning
• What is Deep Learning

Git

• Git and Gitlab Live Workshop

Go

• Go Tutorial

Haskell

• C9 : Functional Programming Fundamentals – Erik Meijer
• CIS 194: Introduction to Haskell – Brent Yorgey
• CS240h: Functional Systems in Haskell – Bryan O’Sullivan
• edX: Introduction to Functional Programming – Erik Meijer
• RWTH Aachen University: Functional Programming – Jürgen Giesl

HTML / CSS

• Build a Personal Website with Dash
• Build a responsive website with Webflow
• Build a SaaS landing page using Skeleton
• Build Dynamic Websites
• Code a personal splash page in 1 hour: A Hands-on Intro to HTML & CSS
• Learn HTML5 Programming From Scratch

iOS

• AppCoda Complete iOS Tutorial
• Developing iOS 7 Apps for iPhone and iPad

Java

• Central Connecticut State University, Introduction to CS Using Java
• Introduction to Java
• Java for Complete Beginners
• Princeton Algorithms, Part 1
• Princeton Algorithms, Part 2
• Problem Solving With Java

JS

• Egghead.io
• learn:query

Lua

• Lua Interactive Crash Course
• Lua Tutorial

Machine Learning

• Stanford University Machine Learning

MATLAB

• MIT 18.S997 Introduction to MATLAB Programming

Misc

• Advanced Data Structures
• Algorithm Design and Implementation
• Berkeley’s CS 61B: Data Structures
• Berkeley’s CS 70: Discrete Mathematics and Probability Theory
• Berkeley’s CS 162: Operating Systems and Systems Programming
• Berkeley’s CS 164: Programming Languages and Compilers
• Berkeley’s CS 169: Software Engineering
• Berkeley’s CS 194: What is an Operating System?
• Berkeley’s Math 10B: Methods of Mathematics: Calculus, Statistics, and Combinatorics
• Bits: The Computer Science of Digital Information
• Computer Graphics
• LouvainX Paradigms of Computer Programming – Abstraction and Concurrency
• LouvainX Paradigms of Computer Programming – Fundamentals
• MIT Numerical Methods (2014)
• MIT’s Artificial Intelligence
• MIT’s Computer Language Engineering
• MIT’s Introduction to Algorithms
• MIT’s Mathematics for Computer Science
• Principles of Reactive Programming
• Stanford Cryptography I
• Stanford Cryptography II
• Stanford SEE 229 – Machine Learning

OCaml

• Cornell’s Data Structures and Functional Programming
• Introduction to Functional Programming in OCaml

Oracle PL/SQL

• Steven Feuerstein’s PL/SQL Obsession – Videos and Presentations

Python

• Berkeley’s Structure and Interpretation of Computer Programs
• Google’s Python Course
• Introduction to Computer Science and Programming (MIT’s opencourseware)
• Learn Python
• Learn to program in Python
• Programming for Everybody
• Programming Foundations with Python (Udacity)

R

• R Programming

RethinkDB

• RethinkDB: Distributed Databases

Ruby

• RubyMonk – Interactive Ruby tutorials

Sails.Js

• Develop web apps in Node.js and Sails.js

Scala

• Functional Programming Principles in Scala
• Principles of Reactive Programming

Software Engineering

• Advanced Software Construction in Java
• Agile Development Using Ruby on Rails – Advanced
• Agile Development Using Ruby on Rails – Basics
• Software Construction in Java

Swift

• Swiftris – Build an iOS Tetris app from scratch

Theory

• Automata Theory
• Udacity: Intro to Theoretical Computer Science

Web Development

• Discover Flask – Full Stack Web Development with Flask
• Flask(A Python Microframework) Tutorial
• The Odin Project – Learn Web Development for Free
• Udacity Web Development Course Catalog