Teaching materials for the Applied Data Analysis laboratory (2023) of the Digital Humanities and Digital Knowledge degree at the University of Bologna.
| Week.session | Topic | Materials |
|---|---|---|
| 1.1 | Introduction | slides |
| 1.2 | Data carpentry | slides + notebook |
| 1.3 | Python refresher | notebook |
| 1.4 | The Python data analysis stack, pt. I | notebook |
| 2.1 | Tidy data pt. I-II | slides + notebook |
| 2.2 | Tidy data pt. III | notebook |
| 2.3 | Data transformation with Pandas | notebook |
| 3.1 | Applied data analysis, pt. I: The basics | slides + notebook |
| 3.2 | Applied data analysis, pt. II: Advanced | notebook |
| 4.1 | Applied data analysis, pt. III: Visualization | slides + notebook |
| 4.2 | Applied data analysis, pt. IV: Mapping | From Melanie Walsh's ICAP |
| 5.1 | Social network analysis | From Melanie Walsh's ICAP |
| 5.2 | Communicating results and epilogue | slides |
These materials are adapted from the teaching materials of ADA DHOxSS, originally authored by Matteo Romanello and Giovanni Colavizza.