The course offers an introduction to the most popular multivariate statistical techniques: principal components analysis, cluster analysis, discriminant analysis, correspondence analysis.
Zani, S. e Cerioli, A. (2007). Analisi dei dati e data mining per le decisioni aziendali. Giuffrè Milano
Learning Objectives
The aim of the course is to provide students with an understanding of some popular multivariate statistical techniques. The course emphasizes practical applications with R packages for data analysis.
Prerequisites
Preparatory courses:
STATISTICA I and ALGEBRA LINEARE E GEOMETRIA ANALITICA