The full weekly schedule, lecture videos, assignments, and due dates are available on Canvas.
This summer offering is fully online and asynchronous. Students should follow the weekly Canvas pages for recorded lectures, slide links, code files, and assignment instructions.
| Week | Topic | Relevant Material |
|---|---|---|
| Week 1 | Introduction, R, and R Markdown | See Canvas Week 1 |
| Week 2 | Git, GitHub, and ggplot2 | See Canvas Week 2 |
| Week 3 | Logical expressions, filtering, and dplyr | See Canvas Week 3 |
| Week 4 | dplyr applications and factor variables | See Canvas Week 4 |
| Week 5 | tidyr, pivoting, parsing, and separating variables | See Canvas Week 5 |
| Week 6 | Dates, times, maps, joins, and layers | See Canvas Week 6 |
| Week 7 | Web scraping, functions, and polished plots | See Canvas Week 7 |