• Cours (CM) 10h
  • Cours intégrés (CI) -
  • Travaux dirigés (TD) 10h
  • Travaux pratiques (TP) -
  • Travail étudiant (TE) -

Description du contenu de l'enseignement

Objectives in terms of knowledge (course content):
  • Acquire basic skills in probability, descriptive and inferential statistics
  • Understand the basic principles of an experimental plane, and know how to analyse data

Compétences à acquérir

Objectives in terms of acquired skills :
  • Data visualization and analysis (Python language)
  • Know how to distinguish between estimation and estimator
  • To be able to deal with parametric and non parametric tests
  • Appreciate the difficulty to realize high-throughput experiments



Nicodème Paul

MASTER - Biotechnologies