1. Basics of Programming I.
The R-studio environment. Types of data (Arrays, Lists, Factors, Data Frames,...) and their operations. Control structures. Functions.
2. Basics of Programming II.
Advanced data structures. Reading and storage of data.
3. Data visualization.
The ggplot2 package.
4. Introduction to some useful packages in R.
MASS, Caret, dplyr and data.table packages.
5. Simulations.
6. Parallel programming.
7. Debugging, Profiling and presentation of results with Rmarkdown.