Slides and R exercises for the Data Science Flipped Classroom (DSFC), an asynchronous iteration of the course Data Science for Open WASH Data: an 8-module, hands-on introduction to data analysis and reproducible research with R and the tidyverse.
slides/: Quarto source files for the slide decks (md-01-dsfc.qmd,md-02-dsfc.qmd, ...) and their rendered HTML and PDF versions. The.scssfile holds the shared theme.exercises/: R scripts and Quarto files that go alongside each module (md-02.R,md-03.R, ...), with the code used in the live sessions.dsfc.Rproj: RStudio project file, in case you want to open everything at once.
The quickest way is to open the .pdf files directly. If you'd rather
look at the source, the .qmd files are plain text and render to
html.
The R scripts use base R plus the tidyverse. Open them in RStudio (or any editor) and run line by line. Each script follows the corresponding module's slides.
On 2026-07-28 the commit history of this repository was rewritten to correct wrong author attribution on the commits for modules 6 to 8. Every commit from 2026-06-04 onward has a new hash. If you cloned this repository before that date, update your copy with:
git fetch origin
git reset --hard origin/mainA plain git pull will not work cleanly, as it would try to merge the
old history with the rewritten one.
| Module | Topic |
|---|---|
| 1 | Welcome & course setup |
| 2 | Data visualization with ggplot2 |
| 3 | Data transformation with dplyr |
| 4 | Data import & spreadsheet organization |
| 5 | Conditions, dates & tables |
| 6 | Data types, vectors & loops |
| 7 | Pivoting & joining data |
| 8 | Publishing with Quarto & GitHub Pages |
| - | Capstone project presentation |