François Husson

Summary on multivariate exploratory data analysis - Duration: 7 minutes, 5 seconds.

Multiple Factor Analysis (MFA) using FactoMineR - Duration: 19 minutes.

Course on Multiple Factor Analysis: Complements (part 4/4) - Duration: 20 minutes.

Course on Multiple Factor Analysis: Groups of variables (part 3/4) - Duration: 22 minutes.

Course on Multiple Factor Analysis: Weighting and global PCA (part 2/4) - Duration: 13 minutes.

Course on Multiple Factor Analysis: introduction (part 1/4) - Duration: 10 minutes.

Exemple d'analyse des correspondances sur des données textuelles - Duration: 9 minutes, 4 seconds.

Cours d'analyse des correspondances : aides à l'interprétation (partie 5/5) - Duration: 12 minutes.

Cours d'analyse des correspondances : inertie et pourcentage d'inertie (partie 3/5) - Duration: 11 minutes.

Cours d'analyse des correspondances : visualisation du nuage des lignes et des colonnes (partie 2/5) - Duration: 11 minutes.

Cours d'analyse des correspondances : la représentation simultanée (partie 4/5) - Duration: 9 minutes, 50 seconds.

Cours d'analyse des correspondances : données et modèle d'indépendance (partie 1/5) - Duration: 15 minutes.

Clustering with FactoMineR - Duration: 18 minutes.

Factoshiny: interactive graphs in exploratory multivariate data analysis - Duration: 11 minutes.

Handling missing values in PCA - Duration: 16 minutes.

Principal component analysis (part 2/3: studying individuals and variables) - Duration: 30 minutes.

Multiple Correspondence Analysis with FactoMineR - Duration: 15 minutes.

Text mining with correspondence analysis - Duration: 11 minutes.

Handling missing values in MCA - Duration: 7 minutes.

Data analysis methods summary - Duration: 7 minutes, 18 seconds.

Clustering (part 3/4: the partitioning method K-means) - Duration: 11 minutes.

Clustering (part 4/4: characterizing clusters) - Duration: 19 minutes.

Principal component analysis (part 3/3: interpretation aids) - Duration: 15 minutes.

Clustering (part 1/4: introduction) - Duration: 21 minutes.

Principal component analysis (part1: data - practicalities) - Duration: 11 minutes.

PCA with FactoMineR - Duration: 16 minutes.

Clustering (part 2/4: example and how to choose the number of clusters) - Duration: 9 minutes, 16 seconds.

Teaser MOOC Exploratory Multivariate Data Analysis - Duration: 2 minutes, 6 seconds.

Multiple Correspondence Analysis (Part 4/4: Interpretation aids) - Duration: 13 minutes.

Multiple Correspondence Analysis (Part 3/4: Visualizing the cloud of categories) - Duration: 14 minutes.