We will be covering the following broad topics:

• reproducible research in R (rmarkdown, knitr),
• collaborative work using git and GitHub, CD/CI,
• R code style guidelines,
• code debugging, optimization and profiling,
• parallelization and vectorization in R,
• writing own functions – best practices,
• understanding and using the system of R classes: S3, S4, R6 and RC,
• anatomy of an R package: writing your own package from scratch,
• tidy data flow with tidyverse,
• using the language of graphics, ggplot2,
• developing simple web applications using shiny,
• R and Python integration using reticulate

If you want to check out the course materials from 2021, you can find them here.