Contents

RaukR 2026 • Data Science With R

Course materials including presentations (slides) and practical exercises (labs)
Topic Presenter Links
WEEK 1
10-Aug-2026 (Mon)
Welcome Marcin Kierczak Slides
Positron Jenny Bryan (Posit) Materials
Introduction to Quarto Christophe Dervieux (Posit) Slides, Lab
11-Aug-2026 (Tue)
Best Coding Practices Sebastian DiLorenzo Slides, Lab
Reproducible research Roy Francis Slides
Managing R environment with renv Roy Francis Slides, Lab
Pipelines with targets Roy Francis Slides, Lab
Quarto projects Christophe Dervieux (Posit) Slides, Lab
12-Aug-2026 (Wed)
Git & GitHub Nina Norgren Slides, Lab
R Packages Jenny Bryan (Posit) Materials
13-Aug-2026 (Thu)
Debugging, profiling, optimization Marcin Kierczak Slides, Lab
data.table Markus Mayrhofer Slides, Lab
Neural networks in R Marcin Kierczak Livecode, Materials
R & AI Sebastian DiLorenzo Slides
14-Aug-2026 (Fri)
Tidyverse Marcin Kierczak Slides, Lab
Plotting with ggplot2 Roy Francis Slides, Lab
Interactive data visualization Roy Francis Slides, Lab
WEEK 2
17-Aug-2026 (Mon)
Statistics Dania Machlab Slides, Lab
Object-oriented programming Marcin Kierczak Slides, Lab, Livecode
18-Aug-2026 (Tue)
Web apps with Shiny Roy Francis Slides, Lab
Projects Guilherme Dias Projects


Slides Labs Quarto sessions

Other materials

  • Literate programming with Quarto Lab
  • Creating websites with Quarto Lab
  • Functions & Scripts Slides, Lab