| ~ |
Before Day 1 |
Preparation |
Complete the Pre-workshop activities—install R 4.x & RStudio, download datasets, run the “Hello R” test script. |
| Day 1 (4 h) |
09:00 – 09:15 |
Welcome & Environment Check |
Quick poll of OS/experience, verify everyone can run code in RStudio. |
| 1 |
09:15 – 10:15 |
Introduction to R & RStudio |
IDE tour, running code, scripts vs Console, basic data types & structures, importing CSV/Excel. |
| 2 |
10:15 – 12:15 |
Data Wrangling with tidyverse |
Hands-on with filter(), select(), mutate(), group_by(), pipes (%>%). |
| 3 |
12:15 – 13:00 |
Data Visualization & Descriptive Stats |
Build first plots in ggplot2 and compute mean, median, sd with dplyr/summary(). |
| Day 2 (4 h) |
09:00 – 09:15 |
Warm-up & Q &A |
Quick recap, troubleshoot lingering issues from Day 1. |
| 4 |
09:15 – 10:45 |
Basic Inferential Tests |
One-sample & two-sample t-tests, χ² test, one-way ANOVA. Emphasis on interpreting output. |
| 5 |
10:45 – 12:45 |
Regression & Intro to Quarto |
Correlation vs simple/multiple regression, visual diagnostics. Then knit results into a Quarto report. (10-min break mid-block.) |
| ~ |
12:45 – 13:00 |
Wrap-up & Next Steps |
Point to Post-workshop exercises, share cheat-sheet bundle, collect feedback. |
| ~ |
After Day 2 |
|
Tackle the post-workshop exercises and share your Quarto reports on the class channel. |
|
|
|
|