- Algorithms & Data Structures
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- Berkeley University CS 61B: Data Structures
- Stanford University Algorithms: Design and Analysis, Part 1
- Stanford University Algorithms:Algorithms: Design and Analysis, Part 2
- Introduction To Reverse Engineering Software
- Introductory Intel x86: Architecture, Assembly, Applications, & Alliteration
- 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
- Bash tutorial (PDF)
- Google's C++ Course
- Introduction to C++ (MIT's opencourseware)
- LearnCpp.com C++ Tutorial
- Database Systems (MIT's opencourseware)
- Introduction to Databases (Stanford University)
- 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
- 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
- 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
- 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
- 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
- Cornell's Data Structures and Functional Programming
- Introduction to Functional Programming in OCaml
- 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)