The course of Statistical Models and Data Analysis aims to introduce the student to the discipline of statistics as a science of understanding and analyzing data. The student will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
The students need to have basic knowledge in statistics. A genuine interest in data analysis is a plus!
Data preparation; data collection and sampling; analysis of variance; multiple regression; logistic regression; factor analysis; cluster analysis; decision trees; multidimensional scaling.
The course will be organized in lectures and group work. During the lessons will be described the techniques covered by the course and some case studies involving the use of these techniques will be discussed. In addition, the course will be accompanied by exercises to be carried out with the help of the computer, related to the use of statistical software SPSS.
Zani S. e Cerioli A. (2007). Analisi dei dati e Data mining per le decisioni aziendali,
Oral exam, with questions of a theoretical nature, to verify the learning of the characteristics of the analysis techniques.
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