Thread by @kierisi

over in Slack-land a colleague asked for resources on learning #rstats, with a particular emphasis on resources aimed at beginners.

🌟SO🌟

here is a thread of my personal favorites:

Modern Dive is 🙌🙌🙌 and probably one of the best "I NEED TO LEARN DATA SCIENCE IN R RIGHT MEOW" resources out there because it gets you up, running, and through the whole DS cycle pretty quickly.

moderndive.com

R for Data Science is perfect for leveling up your R skills in an applied context, and gives you plenty of practice exploring the tidyverse 🌌

r4ds.had.co.nz

PLUS there's a Slack-based online learning community dedicated to helping newbies get comfortable with the R4DS text. They'll answer your questions, support you in your journey, and provide you with the opportunity to give back! ❤️
@R4DScommunity
rfordatasci.com

Once you've worked through those two, @STAT545 is hands-down my favorite extension, because it's going to push you to develop better workflow habits, get into GitHub, and explore package development and Shiny.

stat545.com

The Chromebook Data Science program from the amazing folks at JHUSPH is bar none the best program to start with if you're new to data science and not entirely comfortable with computers. It has the lowest barrier to entry of any self-paced DS course:

jhudatascience.org/chromebookdata…

And last but not least, there's swirl! swirl is a pretty cool way to learn R, because you're doing it in an interactive environment within R itself:

swirlstats.com