HH Data Science and Programming

Recommending the best Learning Programming Resources
HTML/CSS
• Dash by General Assembly: Get introduced to HTML and CSS through a series of interactive tutorials.
• Learn to Code HTML & CSS by Shay Howe: This guide offers a more in-depth introduction to HTML and CSS, including how to follow best practices.
• CSS Diner: A fantastic game that teaches you CSS selectors.
Databases/SQL
• MISSQL Command: A simple game to practice SQL basics.
• PostgreSQL Exercises: Learn about more complex SQL queries with a series of exercises.
• Intro to SQL by Khan Academy: Learn how to use SQL to store, query, and manipulate data. They also have an SQL sandbox.
Command Line
• Learn Enough Command Line to Be Dangerous: by Michael Hartl
Well-written guide that assumes no previous knowledge, and explains jargon. Also contains little exercises to demonstrate the concepts. Highly recommend for beginners.
Algorithms
• Visualgo: Visual learning tool for a bunch of Algorithms and Data Structures.
• Sorting Algorithm Animations: Animated demos of Insertion, Selection, Bubble, Shell, Merge, Heap, Quick, and Quick3 sorts, with an explanation of how they work.
Machine Learning
• A Visual Introduction to Machine Learning: A primer on machine learning for beginners, with helpful visualizations.
• Statistical Machine Learning: Statistical Machine Learning course from Carnegie Mellon University. Assigments, solutions, and full lecture videos. The course covers methodology and theoretical foundations.
Git
• Try Git: Never tried git? This interactive tutorial is for you!
• Github Git Cheatsheet
(PDF) Helpful for those who haven't quite memorized the more frequently-used git commands.
• Introduction to Git Commits: Step by Step interactive guide to learning how Github works and using Git commands.
Python
• The Hitchhiker's Guide to Python: An opinionated and thorough guide for getting started in Python.
• Learn Python The Hard Way: A thorough guide to Python, great for people who have never programmed before.
Ruby
• Try Ruby by Code School: Learn the basics of Ruby in the browser.
• Ruby Monk: Interactive Ruby tutorials for various levels.
• Ruby Programming: Guided resources from various sites for learning ruby and completing your first projects with next steps once you are finished.
JavaScript
• JS the Right Way: A guide intended to introduce new developers to JavaScript.
• Eloquent JavaScript: Introduction to JavaScript and web development.
Node
• Learn You Node: An introduction to Node.js through a command line interactive course.
Statistical Analysis
• Statistical Programming R Language: https://twitter.com/RLadiesNY and https://github.com/glendaascencio/Advance-Data-Analysis-R-Scripts with these links you'll be obtaining tutorials about functions for cleaning, extracting, manipulating, and visualizing data using R.