Exploratory Multivariate Data Analysis with R- enroll now in the MOOC

February 17, 2017
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[This article was first published on François Husson, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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Exploratory multivariate data analysis is studied and has been taught in a “French-way” for a long time in France. You can enroll in a MOOC (completely free) on Exploratory Multivariate Data Analysis. The MOOC will start the 27th of February.

image_cours

This MOOC focuses on 4 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 is application-oriented and many examples and numerous exercises are done with FactoMineR (a package of the free R software) will make the participant efficient and reliable face to data analysis.

To leave a comment for the author, please follow the link and comment on their blog: François Husson.

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