Oct 8-13, in Montreal, Canada

This applied 5-day training session focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis.

The June 2006 edition of our Multivariate Data Analysis Summer School was a great success. Participants from all over the world came to attend the class: Finland, Hong Kong, Thailand, Germany, The Netherlands, USA, Canada, etc.

If you would like to read on the perception of former participants, read some  Multivariate Data Analysis - Attendees' Reviews.