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Analyse des données multidimensionnelles

Angrocampus Quest via France Université Numerique

1 Review 11 students interested
Found in Data Science

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Overview

L'objectif de ce cours est de comprendre et appliquer les quatre méthodes fondamentales de l'analyse des données : analyse en composantes principales, analyse factorielle des correspondances, analyse des correspondances multiples et classification ascendante hiérarchique.

Il a été conçu en vue des applications : une large place est donnée aux exemples et à la mise en œuvre logicielle (logiciel FactoMineR de R). La présentation des méthodes recourt le moins possible au formalisme mathématique en privilégiant l'approche géométrique.

L'objectif est de rendre les participants autonomes dans la mise en œuvre et l'interprétation d'analyses exploratoires multidimensionnelles.

 

Taught by

François Husson and Jérôme Pagès

Review for France Université Numerique's Analyse des données multidimensionnelles
5.0 Based on 1 reviews

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François H
5.0 3 years ago
by François completed this course, spending 5 hours a week on it and found the course difficulty to be hard.
Really helpful to visualize data with method such as Principal component analysis or clustering. There are lots of examples and exercises and the explanation to conduct the analysis with the R software were clear.

I highly recommend this course for students in science.
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