Academic year
2020/2021 Syllabus of previous years
Official course title
Course code
ET0075 (AF:281658 AR:160284)
On campus classes
ECTS credits
Degree level
Bachelor's Degree Programme
Educational sector code
3rd Term
Course year
Go to Moodle page
The course is an activity useful to improve the skills for statistical data management of an Economics degree course through ad-hoc software and for reporting.
The aim of the course is to provide data analysis and management knowledge in order to improve the skills to analyse data and disclose information using informatic tools.
The students will use software R software through real application (i.e. with business data) and to reporting techniques.
Frontal lectures and laboratory will allow students:

1. Knowledge and understanding
1.1 to know and use software for the analysis of economic phenomena.

2. Ability to apply knowledge and understanding
2.1 to organize economic-business data related to the markets and businesses applying dedicated software
2.2 to synthesize economic data

3. Making judgements
3.1 to apply critically the different procedures in the economic decision and in the management of uncertainty.
To have achieved the learning outcomes of the Statistics. In particular, the student should master the concepts and methods related to basic inference and descriptive Statistics, that are p-value, confidence intervals, frequency distributions, main indices of a distribution and graphical representation.
1-Introduction to R: Student will learn how to use the software R focusing in particular on loading data and handling variables
2- Use of markup language: Rmarkdown
3- Starting from real data, students will learn how to build graphical and tabular representations to get meaningful synthesis of the examined phenomenon
4-It will be shown the implementation of some fundamental inferential tools (point estimation, confidence intervals, tests) with real data
5-Linear regression and some multivariate analysis techniques to synthesize economic data
Statistica e calcolo con R (2015) E. Loli Piccolomini, A. Messina McGraw-Hill Education (Italy) eds., e-book caps 3, 4, 5, 6 and Appendix A and B

Further readings:
- On-line material in area
- Ieva F., Paganoni A.M., Vitelli V. (2012). Laboratorio di statistica con R-Eserciziario, Pearson.
- Faraway J. (2004). Linear Models with R. CRC Press.
To assess the knowledge and skills acquired during the laboratory activity, a statistical analysis of the data will be presented by the student with the support of the same R program. In this phase, the skills of argumentative and critical analysis will be evaluated.
In particular, the exam aims to verify that the student has acquired the concepts presented during the lessons, is familiar with R software and may solve and present some practical business problems.
To this end the student will be asked to analyze a dataset and to present it using R and its additional packages.
The course consists of frontal lessons, using R software to analize data and teaching modules available on the e-learning platform.
Students must register for the moodle platform and computer will be required during the lessons.
The proper use of the university e-learning platform is required
written and oral
Definitive programme.
Last update of the programme: 20/04/2020