Academic year
2017/2018 Syllabus of previous years
Official course title
Course code
EM1028 (AF:229703 AR:128364)
On campus classes
ECTS credits
Degree level
Master's Degree Programme (DM270)
Educational sector code
2nd Term
Course year
Go to Moodle page
The course aims to develop student skills in data analysis, with particular attention to companies operating in international markets. The course also aims to develop the students' ability to apply the knowledge transmitted during the course to the real context. In this way, students will be able to independently conduct a study of economic data on international markets and present the results of their analysis.
The statistical information:
- Censuses and surveys
The sample surveys:
- Stages of an investigation
- Sampling techniques
- The rating scale technique
The data-matrix and preliminary analysis:
- The quality of the data and missing value
- Analysis on the row profiles
- Analysis on column profiles
Some techniques for multidimensional analysis:
- Linear Regression model
- Cluster analysis
- Factor analysis
Everitt B., Hothorn T. An introduction to applied multivariate analysis with R. New York, Springer
written and oral
Grading is based on a final written exam. The exam is closed-notes and closed-book, but you are allowed to use a pocket calculator and. Failing to register for the exam is sufficient cause for denying admission.
Lectures, practice sessions, and tutorials.
  • Course with sustainable contents
  • University credits of sustainability: 4
  • Lecture notes, material for reference or for self-assessment available online or as e-book
  • E-learning, moodle platforms
  • Use of open-source software
Last update of the programme: 24/07/2017