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(This article was first published on <strong><a href="https://francoishusson.wordpress.com/2017/02/17/exploratory-multivariate-data-analysis-with-r-enroll-now-in-the-mooc/"> François Husson</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>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 <strong><a target="_blank" rel="nofollow" href="https://www.fun-mooc.fr/courses/agrocampusouest/40001S03EN/session03/about">Exploratory Multivariate Data Analysis</a></strong>. The MOOC will start the 27th of February.</p>
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<p>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.</p>
<p>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.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://francoishusson.wordpress.com/2017/02/17/exploratory-multivariate-data-analysis-with-r-enroll-now-in-the-mooc/"> François Husson</a></strong>.</div>
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