
François Husson
Professor of statistics at the Applied Mathematics Department in Agrocampus Ouest (Rennes), François Husson has published several books in French and in English and has developed the R package FactoMineR.
This 2nd edition of the MOOC will start the 5h of March 2018.
Exploratory multivariate data analysis is studied and teached in a French-way since a long time in France. This course focuses on four essential and basic methods, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical and clustering. An extension to Multiple Factor Analysis (MFA) will give you the opportunity to analyse more complex dataset that are structured by groups.
This course is application-oriented; formalism and mathematics writing have been reduced as much as possible while examples and intuition have been emphasized and the numerous exercises done with FactoMineR (a package of the free R software) will make the participant efficient and reliable face to data analysis.
We hope that with this course, the participant will be fully equipped (theory, examples, software) to confront multivariate real-life data.
This course will be held in English. It has been designed for scientists whose aim is not to become statisticians but who feel the need to analyze the data themselves. It is therefore addressed to practitioners who are confronted with the analysis of data in marketing, surveys, ecology, biology, geography, etc.
An undergraduate level is quite sufficient to capture all the concepts introduced.
Basic knowledges in statistics are necessary, such as: correlation coefficient, chi-squared test, one-way ANOVA.
On the sofware side, an introduction to the R language is sufficient, at least at first.
Professor of statistics at the Applied Mathematics Department in Agrocampus Ouest (Rennes), François Husson has published several books in French and in English and has developed the R package FactoMineR.
Professor of statistics at the Applied Mathematics Department in Agrocampus Ouest (Rennes) until 2014. Jérôme Pagès studied and published papers and books in exploratory multivariate data analysis.
Teaching assistant in statistics at the Applied Mathematics Department in Agrocampus Ouest (Rennes), Magalie Houée-Bigot has developed several packages for the R software and teaches exploratory multivariate data analysis.