Professional training in sports data analytics
Learn to collect, process and present performance and match data, with tools you keep after the course.
Curriculum
- Python for data analysis: getting started, pandas and matplotlib, cleaning and joining datasets.
- Applied statistics for performance: descriptive indicators, variability, trends, critical reading of a result.
- Dashboards: choosing indicators, designing reports a coaching staff can read, automating updates.
- Performance data: training load, GPS, physical testing, individual and team monitoring.
- Match data: events, provider statistics, comparisons across teams and matchdays.
- Hands-on work on your own data, with its confidentiality preserved.
Who it is for
- Coaching staffs of clubs and national teams.
- Performance analysts and video analysts.
- Sports science students.
- Training providers wishing to add a data analytics module.
On-site
At your premises, for a group from your organisation, using your data and your tools.
Remote
Live online sessions in half-day blocks, with exercises between sessions.
Tailored
A programme built with you around a specific need: a tool, a type of data, an internal project.
Practical details
- Typical duration
- [To complete: typical durations, e.g. 1-day introduction, 2 to 3-day full course]
- Prerequisites
- [To complete: prerequisites, e.g. comfortable with a spreadsheet, no programming required]
- Group size
- [To complete: recommended group size]
- Registration
- [To complete: French training-provider registration number and Qualiopi status if any, otherwise remove this line]
Every course comes with a programme and a quote adapted to your organisation. Contact me to discuss it.