Lessons from teaching R to non-programmers, loading a large and messy CSV file with data.table and command-line tools, Bayesian analyses with the brms package, and getting a better understanding of the tidyeval framework. Episode Links This week's curator: Jonathan Carroll (@carroll_jono) 6 Lessons I learned from teaching R to non-programmers Loading a large, messy csv using data.table fread with cli tools Bayesian analyses made easy: GLMMs in R package brms Not so standard evaluations - Getting a better understanding of the tidyeval framework Entire issue available at rweekly.org/2022-W17 Supplement Resources Data science at the command line Learning Bayesian statistics podcast Bayes Rules! An Introduction to Applied Bayesian Modeling