Data Science Resources
An Introduction to Statistical Learning
R Resources
Tidy Modeling with R. My absolute favorite way to develop models.
Python Resources
A Whirlwind Tour of Python, by Jake VanderPlas A solid introduction to Python, assuming you are already familiar with another programming language.
Data Visualization Resources
From Data to Viz. A fantastic guide to all types of plots by Yan Holtz and Conor Healy. Also check out their Dataviz Inspiration page.
Data Engineering Resources
The Ultimate Guide to Deploying a Shiny App on AWS, by Charles Bordet. I personally used the guide to launch my own EC2 servers.
Oh Shit, Git!?! You’ve messed up. Bad. This resource might just save you.
Math Resources
Engineering Biostatistics: An Introduction Using MATLAB and WinBUGS by Brani Vidakovic. Excellent resources for Bayesian statistics, MATLAB and WinBugs.
Wolframe|Alpha. Powerful in-browser computational aid.
Symbolab. Another powerful in-browser computational aid. Usually provides steps to solve problems at no extra cost.
Octave. Open source software to run those pesky .m scripts (Free alternative to MatLab)
OpenBUGS. Free Bayesian software. I prefer to use R or Python.
Calculus Made Easy by S. P. Thompson