Prof. Fabio Possamai

Argomenti del programma: 1. Statistical Learning and Machine Learning 2. Introduction to R programming. RStudio 3. Statistical methods and marketing research. Market segmentation, positioning and statistical methods for data analysis. 4. Databases: basic concepts 5. Cluster analysis: Non-hierarchical and Hierarchical clustering. Tandem Analysis 6. Classification Algorithms 7. Regression. Multiple Linear Regression. Panel data analysis 8.

• The materials will be provided during the course

Argomenti del programma: Every lesson faces topics related to current events in economic policy field starting from real data processed by means of techniques of applied statistics to a workbook created in Excel using commands, formula and functions (sum, average, max-min, standard deviation, standardization, correlation, regression, logic function “and”, “or”, “if”, etc.) and eventually other statistical/econometrics software.

• The materials will be provided during the course

Argomenti del programma: Every lesson faces topics related to current events in economic policy field starting from real data processed by means of techniques of applied statistics to a workbook created in Excel using commands, formula and functions (sum, average, max-min, standard deviation, standardization, correlation, regression, logic function “and”, “or”, “if”, etc.) and eventually other statistical/econometrics software.