- MIT-6.0001
- CS Dojo:Python for absolute beginners
- Automate the boring stuff with python
- Codecademy: Learn Java
- Codecademy: Learn Python
- Codecademy: Learn Ruby
- Cognitiveclass.ai: Python for Data Science
- Datacamp: Intro to Python for Data Science
- Datacamp: Importing Data in Python (Part 1)
- Datacamp: Intermediate Python for Data Science
- Decorators - Dynamically Alter The Functionality Of Your Functions
- Dive into Python 3
- edX: Introduction to Python for Data Science
- edX: Programming with Python for Data Science
- Google's Python Class
- Learn Python The Hard way
- Python 201
- Real Python
- The Python 3 Standard Library By Example
- TheNewBoston: Python Programming Tutorials
- Treehouse: Python Basics
- Treehouse: Python collections
- Treehouse: Date and time
- Treehouse: CSV And JSON
- Treehouse: Regular expression
- Treehouse: Object Oriented Python
- Treehouse: Functional Programming with Python
- Treehouse: Python Decorators
- Treehouse: Write Better Python
- Udacity: Introduction to Python
- Udacity: Programming Foundations with Python
- Udacity: C++ For Programmers
- Udacity: Java Programming Basics
- Udacity: Object Oriented Programming in Java
- Writing Idiomatic Python 3
- CS50
- Codecademy: Big O
- MIT 6.006
- Doing Math with Python
- Grokking Algorithms
- Khan Academy: Data Structures
- Launch School: Introduction to HTTP
- Udacity: Algebra Review
- Udacity: Client-Server Communication
- Udacity: Computer Networking
- Udacity: Differential Equations in Action
- Udacity: Eigenvectors and Eigenvalues
- Udacity: Intro to Algorithms
- Udacity: Intro to Computer Science
- Udacity: Intro to Operating Systems
- Udacity: Intro to Theoretical Computer Science
- Udacity: Linear Algebra Refresher
- Udacity: Programming Languages
- Udacity: Technical Interview
- Udacity: Networking for Web Developers
- Interactive Coding Challenges
- Tech Interview Handbook
- freeCodeCamp: Database Design Full Course
- Codecademy: SQL Track
- Codecademy: SQL: Table Transformation
- Codecademy: SQL: Analyzing Business Metrics
- Datacamp: Intro to SQL for Data Science
- Datacamp: Joining Data in PostgreSQL
- Datacamp: Querying with TransactSQL
- Khan Academy: SQL
- Launch School: Introduction to SQL
- Learn SQL the hard way
- Treehouse: Using Databases in Python
- Udacity: Intro to relational database
- Udacity: Database Systems Concepts & Design
- Udacity: SQL for Data Analysis
- Coursera: Neural Networks and Deep Learning
- Datacamp: Analyzing Police Activity with pandas
- Datacamp: Convolutional Neural Networks for Image Processing
- Datacamp: Deep Learning in Python
- Datacamp: Data Visualization with Seaborn
- Datacamp: Intro to Portfolio Risk Management in Python
- Datacamp: Supervised Learning with scikit-learn
- Datacamp: Machine Learning with Tree-Based Models in Python
- Datacamp: pandas Foundations
- Datacamp: Python for R Users
- Datacamp: Preprocessing for Machine Learning in Python
- Datacamp: Statistical Thinking in Python (Part 1)
- Datacamp: Extreme Gradient Boosting with XGBoost
- Datacamp: Data Types for Data Science
- Datacamp: Cleaning Data in Python
- Datacamp: Importing Data in Python (Part 2)
- Datacamp: Introduction to Data Visualization with Python
- Datacamp: Network Analysis in Python (Part 1)
- Datacamp: Unsupervised Learning in Python
- Datacamp: Natural Language Processing Fundamentals in Python
- Datacamp: Merging DataFrames with pandas
- Datacamp: Importing & Managing Financial Data in Python
- Datacamp: Manipulating Time Series Data in Python
- Datacamp: Interactive Data Visualization with Bokeh
- Datacamp: Machine Learning with the Experts: School Budgets
- Datacamp: Spreadsheet basics
- Datacamp: Statistical Thinking in Python (Part 2)
- Datacamp: Case Studies in Statistical Thinking
- Datacamp: Network Analysis in Python (Part 2)
- Datacamp: Python Data Science Toolbox (Part 1)
- Datacamp: Python Data Science Toolbox (Part 2)
- Datacamp: Manipulating DataFrames with pandas
- Deep Learning with Python
- Essence of Linear Algebra
- edX: Analyzing and Visualizing Data with Excel
- edX: Data Science Essentials
- edX: Essential Statistics for Data Analysis using Excel
- edX: Implementing Predictive Analytics with Spark in Azure HDInsight
- edX: Principles of Machine Learning
- Facebook: Field Guide to Machine Learning
- Google: Machine Learning Crash Course
- Google: ML Practicum: Image Classification
- Google: How Google does Machine Learning
- Google: Launching into Machine Learning
- Google: Intro to Tensorflow
- Google: Feature Engineering
- Google: Art and Science of Machine Learning
- Jason Machine Learning 101 Slides
- Make Your Own Neural Network
- Pluralsight: Working with Multidimensional Data Using NumPy
- Pluralsight: Deep Learning with Keras
- Pluralsight: Getting Started with Jupyter Notebook and Python
- Udacity: A Friendly Introduction to Machine Learning
- Codecademy: Deploy a Website
- EDX: AWS Developer: Building on AWS
- EDX: AWS Developer: Deploying on AWS
- EDX: AWS Developer: Optimizing on AWS
- Pluralsight: Hands-on Ansible
- Pluralsight: Docker and Containers: The Big Picture
- Udacity: Intro to DevOps
- Udacity: Deploying Applications with Heroku
- Udemy: AWS Concepts
- Udemy: AWS Essentials
- Udemy: Serverless Concepts
- Servers for Hackers Series
- Codecademy: CSS Grid
- Codecademy: HTML Projects
- Codecademy: Introduction to Javascript
- Codecademy: Learn CSS
- Codecademy: Learn Color Design
- Codecademy: Learn HTML
- Codecademy: Learn SASS
- Codecademy: Learn responsive design
- Codecademy: Make a website
- Codecademy: Make an interactive website
- Codecademy: Learn ReactJS: Part I
- Codecademy: Learn ReactJS: Part II
- Pluralsight: UX Fundamentals
- Pluralsight: HTML, CSS, and JavaScript: The Big Picture
- Udacity: HTML and CSS Syntax
- Udacity: Intro to HTML and CSS
- Udacity: HTML5 Canvas
- Udacity: Build high conversion web forms
- Udacity: Front End Frameworks
- Udacity: Responsive Web Design Fundamentals
- Udacity: Responsive Images
- Udacity: Build a blog
- Udacity: Offline Web Applications
- Udacity: Website Performance Optimization
- Udacity: Web Accessibility
- Udacity: Browser Rendering Optimization
- Udemy: Understanding Typescript
- Treehouse: HTML Forms
- Treehouse: HTML Tables
- Treehouse: HTML Video and Audio
- Treehouse: How to make a website
- Treehouse: Responsive Layout
- Treehouse: Accessibility
- Treehouse: Website Optimization
- Treehouse: Frontend Optimization
- Treehouse: Gulp Basics
- Treehouse: CSS Best Practices
- Treehouse: CSS Beyond the Basics
- Treehouse: CSS Layout Basics
- Treehouse: CSS Selectors
- Treehouse: Modular CSS with Sass
- Treehouse: SASS Basics
- Codecademy: Learn JavaScript
- Codecademy: Jquery Iterators
- Codecademy: Jquery Track
- Eloquent Javascript
- ES6
- Javascript for Cats
- JS for Beginners
- JS DOM
- Treehouse: AJAX Basics
- Treehouse: Interactive webpages with JS
- Treehouse: Javascript Loops, Arrays and Objects
- Treehouse: Javascript Basics
- Treehouse: jQuery Basics
- Treehouse: Javascript Booleans
- Treehouse: Javascript Foundations
- Treehouse: Object-Oriented JavaScript
- Udacity: Asynchronous JavaScript Requests
- Udacity: ES6 - JavaScript Improved
- Udacity: Intro to Javascript
- Udacity: Intro to AJAX
- Udacity: Intro to Jquery
- Udacity: Javascript Design Patterns
- Udacity: JavaScript Promises
- Udacity: Object Oriented JS 1
- Udacity: Object Oriented JS 2
- Udacity: JavaScript and the DOM
- Wes Bos: Javascript 30
- (ES6) - Beau teaches JavaScript
- Django Best Practices
- Django Girls Tutorial
- Learn Python Django Web
- Rapid Development with Django, Python and Google App Engine
- Treehouse: Django Basics
- Treehouse: Customizing Django Templates
- Two scoops of Django
- Hello Web App
- PyLadies Django Workshop
- Tango With Django
- Django by Example 1 week
- Django Book
- Try Django. Make a Landing Page
- Try Django. Launch with code
- Good to Great: Why Some Companies Make the Leap...And Others Don't
- Hello, Startup: A Programmer's Guide to Building Products, Technologies, and Teams
- How to win friends and influence people
- Rich Dad Poor Dad
- 7 Habits of highly effective people
- Treehouse: SEO Basics
- The Passionate Programmer
- The 10X Rule: The Only Difference Between Success and Failure
- Udacity: Optimize your GitHub
- Udacity: Strengthen Your LinkedIn Network & Brand
- Soft Skills: The software developer's life manual
- The Future Computed
- Launch School: Agile Planning
- Pluralsight: Product Owner Fundamentals
- Pluralsight: Scrum Master Fundamentals - Foundations
- Pluralsight: Security Awareness: Basic Concepts and Terminology
- Pluralsight: Secure Software Development
- Pluralsight: Clean Architecture: Patterns, Practices, and Principles
- Udacity: Design of Computer Programs
- Udacity: Product Design
- Udacity: Rapid Prototyping
- Udacity: Software Architecture and Design
- Udacity: Software Development Process
- Pluralsight: Test-driven Development: The Big Picture
- Test Driven Development with Python
- Treehouse: Python Testing
- Udacity: Javascript Testing
- Udacity: Software Analysis & Testing
- Udacity: Software Testing
- Udacity: Software Debugging
- Codecademy: Learn Git
- Codeschool: Try Git
- Datacamp: Introduction to Git for Data Science
- Girls in Technology: Git Branching
- Git-Game
- Git Immersion
- Launch School: Intro to Git and GitHub
- Learn enough git to be dangerous
- Treehouse: Git Basics
- Udacity: GitHub & Collaboration
- Udacity: How to Use Git and GitHub
- Udacity: Version Control with Git
- Udacity: Writing READMEs
- Bash Academy
- Bash Programming
- Codecademy: Learn the Command Line
- CONQUERING THE COMMAND LINE
- Datacamp: Introduction to Shell for Data Science
- LaunchSchool: Introduction to Commandline
- Learn Enough Command Line to be dangerous
- Learn Enough Text Editor to Be Dangerous
- Mastering Pycharm
- Treehouse: Console Foundations
- Udacity: Linux Command Line Basics
- Udacity: Linux Web Servers
- Udacity: Shell Workshop
- Udacity: Web Tooling & Automation
- Web Bos: Command Line Power User