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I love it when people email me and tell me about how useful #RYouWithMe by @RLadiesSydney has been in their #rstats journey. I love it even more when they email again and ask where they should go next. Here is my answer in a 
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Hmmm re videos... I like Kelly Bodwin's @KellyBodwin videos, she teaches a intro stats in R course and she has videos about lubridate, forcats and stringr which are great Tidyverse packages that are not (yet) in #RYouWithMe. 2/n https://youtube.com/user/SuperKrazy2000
My colleague Dani Navarro @djnavarro also put her course materials on YouTube recently. She has a series that has you learning about boring programming things like loops and if statements while making generative art in #rstats 3/n https://youtube.com/c/DanielleNavarro77
If learning how to do statistics in #Rstats is on your list, Dani @djnavarro has a book called Learning statistics with R which is awesome https://bookdown.org/ekothe/navarro26/preface.html and/or Andy field @ProfAndyField has just put his course videos on YouTube 4/n https://youtube.com/c/ProfAndyField
Beyond that I think you need a project... what kind of data do you deal with in your work and how would #rstats make your life easier? Define a data-related problem and then work out what R things you need to know in order to solve that problem... 5/n
That’s how I went about it - after learning some basics, dplyr , ggplot and markdown I needed to work out how to use #Rstats to deal with lots and lots of individual CSV files that all needed to be cleaned. 6/n
In order to do that I learned some iteration using the purrr package and how to write #rstats functions so that I could use map() to read in a folder of csvs, use a function to clean them all up, and then write out the cleaned versions all in just a few lines of code. 7/n
And blogging... I really recommend blogging while you learn. It is a great way to save yourself some Google time. When you know you’ve written a blog post about something, you can just google yourself when you don’t remember exactly how to do it in #rstats 8/n
But also as a beginner your tips on how to learn something in #rstats are really valuable to other beginners, because you’re not so far removed from throwing your hands up in the air and saying this is all too hard! 9/n
And there are great #rstats packages that make blogging in R really easy. Check out the distill package if you want to set up a blog in about five minutes, or the blogdown package if you want to have a little bit more control over the formatting. 10/n
