Data Science

Python Basics

Introduction to Python, The Scientific Libraries, Advanced Python Programming, and the Pandas Section of Data and Empirics: Link
Chapters 1 – 4 in this book: Link
Then this Pandas tutorial: Link
Here are some excellent pandas code examples: Link

Math

Linear Algebra

Essence of Linear Algebra: Link
Khan Academy: Link
Intuitive Guide to Linear Algebra: Link
Introduction to Methods to Applied Mathematics: Link
Mathematical Tools for Physics: Link
Linear Algebra Reference: Link
Reference: Link

Calculus

Essence of Calculus: Link
Khan Academy – Calculus 1: Link
Khan Academy – Calculus 2: Link
Khan Academy – Multivariable Calculus: Link

More Python

Practice Python Projects

Projects List: Link
Project Euler: Link
Examples (Chapter 6 and 7): Link

Data Exploration

Data visualization: Link
Kaggle: Link

Probability and Statistics

Basics

Khan Academy: Link
Probability and Statistics for Programmers: Link
Applied Statistics: Link
Probability Cheat sheet: Link

Statistical Learning

An Introduction to Statistical Learning: Link
Elements of Statistical Learning: Link

Python and Data Science

Basics

Chapter 5 Python Data Science Handbook: Link
Tutorials: Link

Data Structures and Algorithms in Python

Udacity: Link
Runestone Academy: Link

TensorFlow

Google Crash Course: Link

SQL

Khan Academy: Link

Git and Version Control

Pro Git: Link

Open Courseware

Harvard Data Science course: Link

R

Tutorials: Link

Supplementary Material

Python 3 Documentation: Link
Python Reddit: Link
Data Science Reddit: Link
Python Stack overflow: Link
Data Science Stack Exchange: Link
Jupyter: Link
How to think like a Computer Scientist: Link