MOOC on Exploratory Multivariate Data Analysis – enroll now

February 14, 2017
By

(This article was first published on François Husson, and kindly contributed to R-bloggers)

Exploratory multivariate data analysis is studied and teached in a French-way since 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.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)