Corporate strategy and governance

To provide fundamental principles of multidimensional statistics for the study of complex phenomena at an exploratory non-probabilistic level. To learn the processes aimed at reducing the quantity of information by creating global synthetic indicators or multidimentional classification models. To experiment such methods in real data matrices in accordance with the data mining approach. At the end of the course the student will be able to elaborate complex multidimentional data systems deriving from different types of databases. He will be able to choose the data mining technique more suitable to the analysis objective and to the type of data: quantitative variables as well as categorical variables (structured qualitative data) and textual data (unstructured qualitative data).