Schedule
Course Schedule
subject to change
| Week | Topic | Tools | |
|---|---|---|---|
| Preliminaries | |||
| 1 | Course Introduction | Scripts; R and RStudio | |
| 2 | Reproducible Data Analyses | Markup Languages; Quarto | |
| 3 | File Management & Version Control | Filesystems; git; GitHub | |
| 4 | A Field Guide to Data | Data Formats; readr; tidyr | |
| 5 | Structural Data Manipulation | dplyr; srvyr | |
| 6 | Data Visualization I | Grammar of Graphics; ggplot2 | |
| 7 | Data Visualization II | ggplot2 | |
| 8 | Core Exam (Thursday, October 16) | ||
| 9 | Social Networks & Network Data | iGraph; statnet | |
| 10 | Census Data | tidycensus | |
| 11 | Maps & GIS I | sf; tigris | |
| 12 | Maps & GIS II | mapgl; mapbox; osm | |
| 13 | Accessing & Using External Data | SQL, other APIs | |
| 14 | Project Work | ||
| 15 | Project Presentations | ||
| F | Finals Week (Project Due) |
Advanced Topics (if we have time)
| Week | Topic | Tools | |
|---|---|---|---|
| 16 | Text Data & Data Scraping | ||
| 17 | Web Apps & Visualization | quarto, shiny | |
| 18 | AI Pair Programming & βVibe Codingβ | github copilot | |
| 19 | Local LLMs |