Data Analysis

The main objective of the course is to promote the knowledge, understanding and use of basic and advanced classical statistical methods, and to show how these can face research problems in various fields, and in particular how these techniques can improve problem solving techniques. The course is dedicated both to the analysis of individual features and to the identification and evaluation of any existing relationships between them, always addressing both the descriptive and the inferential scope. The importance of formulating interpretative hypotheses as an essential starting point for any qualitative and quantitative analysis of the data will be emphasized. The various theoretical topics will also be addressed operationally, using real dataset and using IT tools, both generic as Microsoft Excel and for specific statistical analysis as IBM SPSS Statistics.

The course aims to provide a good knowledge of classical data analysis techniques. At the end of the course the student will be able to carry out an analysis of real data, starting from the choice of the data source and of the most appropriate analysis techniques, up to a conscious interpretation of the results obtained.