Data Management

Welcome to the website of the ECON2206 Data Managment class of HEC Liège.

Course materials adapted from Malka Guillot’s Data Management course.

Instructors

• Auguste Debroise, Invited Professor, Economics, University of Namur, auguste.debroise@unamur.be
• Pauline Colle, PhD Candidate, Pauline.Colle@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.

Course schedule

Date	Duration	Format	Session
21/09/2026	3h	In person	Module 1: Intro, Shell, Git & Module 2: Basic Python
28/09/2026	3h	In person	Module 2: Basic Python (cont.) & Module 3: Pandas
05/10/2026	3h	In person	Module 4: More Python & Intro to Machine Learning
12/10/2026	2h	Distance	Module 5a: ML Regression
19/10/2026	2h	Distance	Module 5b: ML Classification & Intro to NLP
26/10/2026	—	—	No class
02/11/2026	3h	In person	Module 6: Natural Language Processing
09/11/2026	—	—	No class
16/11/2026	2h	In person	ML & NLP Challenge
23/11/2026	2h	In person	Project presentation

Useful 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
• The ML & NLP challenge
• The class project
• A lexicon listing the tools and packages used
• A list of general resources