I already worked through DataCamp in R. On to Python!
This book is one of my favorite books in the field. Base R is lovely, powerful, and concise, but not very readable and requires tons of memorization because every function is idiosyncratically different from the others. The Tidyverse is brilliant for its clarity and ease of use, if somewhat cludgy in terms of speed and names of things. I wouldn’t have half my enthusiasm for data science if I hadn’t stumbled on the Tidyverse and this book. I’ve got most of the book memorized, to be honest, I use it that much, but this is on the syllabus so I get through those chapters that I haven’t really needed to tackle yet.
Worth a try
GitHub has their very own guide. Why not give it a whirl?
The quintessential guide for us R-nerds. I’ve skimmed it, but need to really work through it and figure out git/GitHub once and for all!
This came highly recommended by several folks
Stumbled on this and it looked good
Simple website with some data science-focused tutorials
I don’t really have an interest in Bash, but it does seem handy to know.
It’s free, it’s recommended by several folks, and it looks like it is pretty thorough and has good examples. It might be repetetive from earlier activities, but I’ll just zoom through (or not).
I’ve heard a lot of good things, but at $30, it’s the most expensive item on this list. This is in the wings if I’m still looking for more.