CENTURI Training course
CENTURI Data Weeks - Part 1
Statistics for Biology - February 2-6, 2026
Taught by Pierre Mangeol
This course is the first part of the Data Weeks course.
The course introduces or refreshes anyone who wants to use the Statistics tools. It will cover the most usual situations encountered when analyzing biological data, with the goal for participants to be able to explore and analyze their data autonomously after completing the course. The course will be divided into lectures in the mornings and tutorials on computer in the afternoons of 2-6 February 2026 in Luminy (Monday to Friday, except Thursday). A second tutorial session will occur on Monday and Tuesday, 9-10 February 2026, full days. Participants who want to attend tutorials (highly recommended, as this is a continuation of the course) will be invited to join either on February 2-6 or 9-10.
Content
- How to represent my data?
- What are replicates? How to estimate variability and uncertainty?
- Statistical tests: General principles, simple comparisons for quantitative and qualitative data. Should I always use a statistical test? How to avoid pseudo-replication and p-hacking?
- How to compare multiple groups?
- How many measurements are enough?
- Causality and test for correlation
Public
Anyone can register for this course (PhD student or not). Basic knowledge of programming will help, but it is not mandatory.
Schedule
- Lectures in Hexagon auditorium
Monday 02/02/2026: 9:30 a.m. - 12 p.m.
Tuesday 03/02/2026: 9:30 a.m. - 12 ap.m.
Wednesday 04/02/2026: 9:30 a.m. - 12 p.m.
Friday 06/02/2026: 9:30 a.m. - 12 p.m.
No course on Thursday
- Practical courses in Hexalab (limited places to 30 people):
Monday 02/02/2026: 2.30 p.m. - 4.30 p.m.
Tuesday 03/02/2026: 1.30 p.m. - 4.30 p.m.
Wednesday 04/02/2026: 1.30 p.m. - 4.30 p.m. (This course will be held in E00.11 - TPR1)
Friday 06/02/2026: 1.30 p.m. - 4.30 p.m.
OR
Monday 09/02/2026: 9 a.m. - 4.30 p.m.
Tuesday 10/02/2026: 9 a.m. - 4.30 p.m.
For any additional information, please contact Pierre Mangeol (pierre.mangeol@univ-amu.fr) or Mélina De Oliveira (melina.de-oliveira@univ-amu.fr).