Thread by @sarahrunbailey

Resources I like/ used to learn
1) rviews.rstudio.com/2020/02/24/jan…

These articles seem to be released monthly and are great to browse new R packages and stay updated. I like how they're separated into categories too!

#resources #helpfulinfo #stats
#womenintech

2) coursera.org
I used this way more in college to supplement my classes and it also helped get me started in ....Python.
You can pay for course credit, but can also audit all the courses for free!

3) Might be creepy.. but university professors will post lecture notes and or slides and they can be really helpful when you're stuck or want to get rolling on a new topic but don't know where to start.
ex.
bristol.ac.uk/media-library/…

#nerdshelpingnerds

4) Free Books!! These are just a couple from years of bookmarking things so their relevance may or may not help

bradleyboehmke.github.io/HOML/index.html
users.stat.umn.edu/~gary/book/fcd…
web.stanford.edu/~jurafsky/slp3…

I do like to look at the gritty theoretical details and (Try) to understand exactly whats going on, but there are some with good programming applications for a broad overview!
#statistics #nerds #programming #math

I will add more if/when I find some...
Feel free to comment with ideas or places you like to look too!!
#information #knowledge