- Docente: Fabrizio Alboni
- Credits: 6
- SSD: STAT-01/A
- Language: Italian
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
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Corso:
First cycle degree programme (L) in
Agri-food economics and markets (cod. 6625)
Also valid for First cycle degree programme (L) in Animal Production (cod. 6655)
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from Sep 21, 2026 to Dec 17, 2026
Learning outcomes
The course introduces descriptive and inferential statistics methods and the methods and models for extracting relevant information from large amounts of data. Upon completion of the course, students will understand: the concept of descriptive statistics; the fundamentals of statistical inference and significance tests used in analysis of variance and regression; database management systems (DBMS); the main data mining techniques and the application of methods and models for extracting relevant information from large amounts of data; and the main IT tools for statistical analysis and data mining. Furthermore, students will be able to critically analyze the main statistical sources (national, European, and global) and the related structural analyses of the agricultural and agri-food sectors, as well as develop data visualization tools.
Office hours
See the website of Fabrizio Alboni