ADA-DHOxSS
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Teaching materials for the Applied Data Analysis course at DHOxSS. Data science methods to analyse humanities data.
ADA-DHOxSS
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.
Syllabus 2023
Convenors:
- Matteo Romanello (University of Lausanne)
- Nilo Pedrazzini (The Alan Turing Institute/University of Oxford)
| 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 |
Previous editions
- 2022: Giovanni and Matteo Romanello (archived teaching materials)
- 2020-2021: hiatus due to global pandemic
- 2019: Giovanni Colavizza and Matteo Romanello (archived teaching materials)
Acknowledgements
Inspiration for ADA was given by the following courses/teachers:
- [ICAP] Melanie Walsh's Introduction to Cultural Analytics & Python https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html
- Ryan Cordell's Humanities Data Analysis http://s17hda.ryancordell.org/schedule/
- Massimo Franceschet's Dear Data Science http://users.dimi.uniud.it/~massimo.franceschet/ds/syllabus/syllabus.html
- Bob West's Applied Data Analysis (ADA) https://dlab.epfl.ch/teaching/fall2018/cs401
References
- Garrett Grolemund and Hadley Wickham, R for data science, https://r4ds.had.co.nz/index.html
- Julia Silge and David Robinson, Text mining with R: A tidy approach, https://www.tidytextmining.com
- Folgert Karsdorp, Mike Kestemont and Allen Riddell, Humanities Data Analysis: Case Studies with Python, https://www.humanitiesdataanalysis.org
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Teaching materials for the Applied Data Analysis course at DHOxSS. Data science methods to analyse humanities data.