Welcome to the website of the ECON2206 Data Managment class of HEC Liège.
Professor | Teaching assistant |
---|---|
Malka Guillot | Michel Coppée |
Assistant professor, Economics | PhD Candidate, economics |
mguillot@uliege.be | michel.coppee@uliege.be |
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 :
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: |