MOOC Fundamentals in statistics

About the course

This MOOC is an introduction to basic concepts in statistics and focuses particularly on practical application of statistics. Participants will learn when and how statistical tools can be used to analyze data; how to choose and apply statistical tools to data sources and how to interpret quantitative studies.

Course team


Avner Bar-Hen is Professor in statistics at l’Université Paris Descartes (Sorbonne Paris Cité).

Christine Keribin

Senior lecturer at l’université Paris Sud, member of the mathematics laboratory of Orsay and member of INRIA-Select team.


Research fellow at l’Institut Français des Sciences et Technologies des Transports de l’Aménagement et des Réseaux.


Five-week course. Each week will be dedicated to a specific statistical concept, organized in different sequences and addressed in different ways (videos, texts, quizzes…).  A forum, animated by the pedagogical team, will be dedicated to students’ exchanges, collaborative work and question/answer with the teacher. The participants will use the open-source software R: the installation and use will be explained step-by-step during week 0. Studying time is specified at the beginning of each week and in the heading of each sequence. In average, 6 to 8 hours of study are required weekly. In order to sustainably acquire the skills aimed by this course, it is recommended to study between 35 and 40 hours for the whole module.

Course plan

Chapter 0: Introduction to R.

Chapter 1: How to summarize the information of a variable?

Chapter 2: Two-dimensional analysis.

Chapter 3: Multi-dimensional analysis.

Chapter 4: Learning / Classification.


No prerequisite is necessary although a scientific background (high-school level) is recommended.

Everybody interested, for personal or professional reasons, in manipulating, understanding and analyzing numerical data, regardless of the professional field or professional project.


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