A collection of things that I find myself sharing often.
The Missing Semester of your Computer Science Education, an open course from MIT covering tools like shell scripting, text editors, and git--all of which can make your programming and computing life easier, but which tend to be overlooked in typical classroom settings.
R for Data Science by Grolemund and Wickham. Free!
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan by Kruschke.
Putting it all together with Knitr, LaTeX, and R Markdown. Materials from the 2019 LSA Institute workshop by McDonnell and Rentz.
I've had a good experience recruiting participants via Prolific. (If you sign up via that referral link, we both get a bit of money.)
The Professor Is In: The Essential Guide To Turning Your Ph.D. Into a Job by Kelsky. The ultimate guide to the academic job search.