It is an introduction to statistical techniques for analyzing multivariate data: data of p variables measured or observed in n individuals or objects. With a theoretical-practical approach the following topics are discussed: multivariate graphing, multinormal distribution, multivariate one-way analysis, main component analysis, factorial analysis, discrimination, logistic regression and cluster analysis.