Welcome to the website of the ECON2206 Data Managment class of HEC Liège.
Instructors
- Malka Guillot, Associate professor, endconomics, mguillot@uliege.be
- Nicolas Marissiaux, PhD Candidate, economics, nicolas.marissiaux@uliege.be
- Agathe Denis, PhD Candidate, economics (guest lecturer), Agathe.Denis@uliege.be
- Yuchen Huang, Postdoctoral researcher, economics (guest lecturer), Yuchen.Huang@uliege.be
Course description, class format
This course aims to teach the basics of data management and analysis using Python. It requires no prior knowledge of computer programming. Students will acquire skills in data collection, munging, modeling.
The sidebar on the left shows the backbone of the content taught in the class. Each page corresponds to a class activity, that can be theoretical or correspond to a practice session. The table below shows how these activities are organised in time.
Course schedule [April 2025]
| # week | date | Module |
|---|---|---|
| 1 | 22-sept | Module 1: Intro, Shell, git |
| 2 | 29-sept | Module 2: Basic Python |
| 4 | 06-oct | Module 4: More Python |
| 3 | 13-oct | Module 3: Pandas |
| 5 | 20-oct | Module 5a: ML Regressions |
| 6 | 03-nov | Module 5b: ML classifications |
| 7 | 10-nov | Module 6a: NLP |
| 8 | 17-nov | Module 6b: NLP |
| 9 | 24-nov | ML NLP Challenge |
| 10 | 1-dec | Project presentation |
Usfeul links
- Code, data and slides can be found on the Github repository of the course (including class materials such as slides and notebooks)
- Details on class evaluation
- A lexicon listing the tools and packages used.
- A list of general resources
- Students at HEC Liège can access the StudyNet page.