François Husson

 

 


 

Professeur de statistique au laboratoire de mathématiques appliquées d'Agrocampus Ouest (Rennes), François Husson a une vaste expérience de l'enseignement de l'analyse des données auprès d'auditeurs variés, en particulier non mathématiciens. Il a publié de nombreux travaux de recherche et d'enseignement en analyse factorielle et développe le logiciel libre FactoMineR, largement utilisé dans de nombreux pays.

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Feb 27th 2017

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. This course 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.

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