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Data analysis B


The goal of the course is to make students familiar with statistical data analysis - the art of examining, summarising and drawing conclusions from data. This includes the organisation of a coherent database and its use to produce statistical summaries and inference. Statistical software is essential in this respect. It lets the researchers focus on thinking about problems rather than being engaged with computational details. The course introduces students to the use of the SPSS statistical software. The software environment is explored from the data entry to the handling of the SPSS output. The course builds on students´ knowledge of introductory level statistics, such as frequency, distribution and correlation and introduces new topics like hypothesis testing on means, percentage and regression, multiple regression, logistic regression, factor analysis and cluster analysis.



Arbia G.

Course director

Brughelli M.

Course director

Additional information

Academic year
Master of Arts in Economics and Communication in Public Management and Policy, Core course, Fundamental knowledges, 1st year

Master of Science in Economics and Communication in Financial Communication, Core course, Fundamental knowledges, 1st and 2nd year