Multivariate Analysis

Most popular methods of multivariate data analysis are presented in the course. They can be used to analyse complex phenomena characterized by many variables. The course covers graphic presentations of multivariate data, applied multivariate regression, ordering of multidimensional objects, cluster analysis, basics of Factor Ananlysis and Principal Component Analysis and Multidimentional Scaling – all of them performed in Statistica Software.

For whom?

For those who are interested in the analysis of phenomena described by many variables with application in medicine, social sciences, economics, market research, psychology and many other fields.

As the results of the course you will know how to:

• use the most popular techniques of multivariate data analysis
• extract useful knowledge from your data
• graphically present multivariate data
• select the best subset of variables and build your own model
• look for relations between variables
• build rankings of objects described by many variables
• reduce dimensiality of your problem
• find groups of similar objects
• be more fluent in Statistica