Data Science for Sports and Physical Activities

lephy2152  2025-2026  Louvain-la-Neuve

Data Science for Sports and Physical Activities
The version you’re consulting is not final. This course description may change. The final version will be published on 1st June.
3.00 credits
22.5 h + 15.0 h
Q2
Language
French
Main themes
  • Identification of available data sources that can be analysed (Web databases, applications, etc.),
  • Extracting and converting data into usable files
  • Using concrete examples from different areas of performance,
  • Identification of the main measures used to evaluate individuals and teams, and how they can be formulated and applied.
  • Simplified data processing with Excel
  • Advanced data processing (importing datasets, dataframe, subset, database cleaning, basic statistics, creating a simple function)
  • Data visualisation
  • Creating dashboards
  • Ethical and legal issues relating to the collection and secure storage of of potentially sensitive personal information.
Learning outcomes

At the end of this learning unit, the student is able to :

  • Explain the value of acquiring, managing and analysing data in the context of physical activity practice (1.1)
  • Use the key concepts used in monitoring physical activity and sport (e.g. performance measurements, monitoring participants, workload management, etc.). (1.1, 1.5)
  • Apply data management techniques (spreadsheets, databases, etc.) (1.5, 1.10)
  • Work with data sets (importing files, filtering data for analysis, etc.) (1.5, 1.10)
  • Process data submitted by designers and reproduce transformations (e.g. calculation of VO2 from raw data, calculation of HRV monitoring indicators,
  • Create effective data visualisations (1.5, 1.10, 2.1, 4.1, 7.2)
  • Analyse data to calculate key indicators related to identified concepts (1.5, 1.10, 2.1, 2.2, 4.1, 4.4, 7.2).
  • Demonstrate practical experience in conducting analyses on data sets (2.2)
  • Apply ethical issues such as confidentiality and data security Apply ethical issues such as confidentiality and data security (7.4)
 
Other information
This course is strictly reserved for FSM students. It is not open to other UCLouvain students.
Faculty or entity
> FSM


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Motor Skills: Physical Education
EDPH2M
3