 | Study programme 2025-2026 | Français | |
| Introduction à l'analyse des données de la recherche | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| M-CTPH-202 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 0 | 10 | 0 | 0 | 0 | Q2 |
Content of Learning Activity
- Work Environments: Introduction to R, RStudio, Git, GitHub, Quarto, and Markdown for reproducible data science.
- R Basics & Variable Types: Core R syntax and key statistical variable types.
- Data Visualization: Graphs adapted to data types, including multi-panel figures.
- Data Transformation: Data import, reshaping, and operations using the tidyverse.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Face-to-face
Type of Teaching Activity/Activities
- Projet sur ordinateur
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
Location of learning activity
- Université de Mons - Mons
Location of assessment
- Université de Mons - Mons