Teaching materials for the Applied Data Analysis course at DHOxSS. Data science methods to analyse humanities data.
Teaching materials for the Applied Data Analysis (ADA) activity strand at the Digital Humanities Oxford Summer School. The authors of these materials are Giovanni Colavizza and Matteo Romanello.
Convenors:
Day.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 |
Inspiration for ADA was given by the following courses/teachers: