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

Instructors

Professor Teaching assistant
Malka Guillot Michel Coppée
Assistant professor, Economics PhD Candidate, economics
mguillot@uliege.be michel.coppee@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.

Each activity page contains :

  • Some reading or exercises to achieve before
  • Details on the content of the class activity, including:
    • A link to the corresponding teaching material
    • The learning outcomes
  • A list of things to do after the class, that can be:
    • Exercises, lab assignments to hand in

Tentative program [Spring 2023]

Week Theory (Wednesday) Practice (Monday + Wednesday)
Feb. 6 Class overview M: Python basic 1
W: Python basic 2
Feb. 13 Working with data M: Python basic 3
W: Pandas 1
Feb. 20 Comparison & correlation M:
W: [Project] idea
Feb. 27 Data collection M: Pandas 2
W: Plotting
Mar. 6 Visualisation M: Webscraping 1
W: Webscraping 2
Mar. 13 Supervised ML - regression M: Git
W: Regressions
Mar. 20 Supervised ML - classification M: [Project] openhouse
W: Classification
Mar. 27 Unsupervised ML M: Dash application
W: Unupervised ML (case study)
Apr. 17 Maps M:
W: [Project] openhouse
Apr. 24 [Project]: intermediate presentation M:
W: