Welcome to the website of the ECON2206 Data Managment class of HEC Liège.
Instructors
| Professor | Teaching assistant |
|---|---|
| Malka Guillot | Nicolas Marissiaux |
| Associate professor, Economics | PhD Candidate, economics |
| mguillot@uliege.be | nicolas.marissiaux@uliege.be |
Course description, class format
This course aims to teach the basics of data management and analysis needed in a business-school oriented University like HEC Liège. It requires no prior knowledge of computer programming. Students will acquire skills in data collection, munging, modeling. The programming language is Python.
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 outline [Autumn 2024]
| #Week | Topic | Details |
|---|---|---|
| 1 | Getting started | Class overview; Introduction to python |
| 2 | Working with data | Using Pandas |
| 3 | Making sense of data | Descriptive statistics and visualisation |
| 4 | Data collection | Webscraping and API |
| 5, 6, 7 | Machine Learning | Supervised and unsupervised |
| 8,9 | Natural Langage Processing | |
| 10 | Presentation of project idea |
Useful links
- Code, data and slides can be found on the Github repository of the course
- Details on class evaluation
- A lexicon listing the tools and packages used.
- A list of general resources
- Students at HEC Liège can access the Lola page to access (and hand in) homeworks, get additional information, and to participate in the forums.