Economics and management | University of Parma

Professor: Marco RIANI
Academic discipline: Statistica (SECS-S/01)
Field: Statistico-matematico
Type of training activity: Characterising

63 hours
of face-to-face activities

9 credits

hub: PARMA

course unit
in - - -

lectures timetable unavailable

exam calls

Learning objectives

The purpose is to deal in a quantitative way the relevant information for the firm. The data can come from different sources (internal or sample surveys) . The final goal is to provide a rational support for decision making.

Prerequisites

Basic knowledge of mathematics and statistics

Course unit content

Multivariate data analysis: data warehouse and data mining.
Exploratory data analysis: missing values and outliers
Introduction to SPSS and MATLAB.
Dimension reduction: principal component analysis. Applications to marketing problems.
Statistical methods for market segmentation: cluster analysis.

Full programme

Bibliography

S. ZANI – A. CERIOLI, Analisi dei dati e Data Mining per le decisioni aziendali, Giuffrè Editore, Milano, 2007

Teaching methods

Frontal lessons also with PC

Assessment methods and criteria

Written exam

Other information

Additional information can be found from the web site http://www.riani.it

2030 agenda goals for sustainable development

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ANALYSIS OF MARKETING DATA cod. 1001407