Course Unit Page

  • Teacher Martin Forster

  • Credits 10

  • SSD SECS-S/03

  • Teaching Mode Traditional lectures

  • Language English

  • Campus of Bologna

  • Degree Programme Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 8876)

  • Teaching resources on Virtuale

  • Course Timetable from Feb 14, 2022 to May 24, 2022


This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Decent work and economic growth Industry, innovation and infrastructure

Academic Year 2021/2022

Learning outcomes

At the end of the course the student knows the main applied statistical methods to extract useful information from business databases and to support the management decision process in the face of uncertainty. In particular the student is able to apply statistical indicators and linear/non-linear regression analysis for the evaluation of firms’ performance, the study of customers’ behavior and the choice of an investment project, by using a statistical software. At the end of the course the student is able: - to select and apply the most appropriate methodology to quantitatively analyze the business phenomena; - to critically interpret empirical results.

Course contents

To be added.


To be added.

Teaching methods

Lectures and computer-based workshops.

Assessment methods

To be added.

Teaching tools

To be added.

Office hours

See the website of Martin Forster