75976 - Business Data Analysis

Learning outcomes

This course aims at providing students with the ability to analyze multivariate data most often stemming from questionnaires .The course educates students in the skills needed for a good performance of multivariate analysis and thereby enhance their overall analytical competence. The course focuses on the understanding of each multivariate tools as well as interpretation and use of the results on management, marketing, strategy and innovation decisions.

Course contents

Learning outcomes

At the end of the course the student will have a good knowledge of basic and advanced multivariate statistical techniques, and will be able to analyze real data. For a better understanding of multivariate statistics, the course blends theory and practice. It also makes extensive use of the R software.

Course contents

Fundamental concepts

Data matrix

Covariance matrix

Concentration matrix

Mean Vector

Linear regression

Principal components

Cluster analysis

Projections

Readings/Bibliography

Izenman, A. J. (2008). Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning, Springer.

Teaching methods

Frontal Lectures and laboratory

Assessment methods

The final test is written, closed book and includes both true-false questions and exercises.

Teaching tools

Blackboard, slides, computer laboratory

Office hours

See the website of Cinzia Franceschini