DATA ANALYSIS LABORATORY

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 statistical softwares (R, Stata).

1. KNOWLEDGE AND UNDERSTANDING
1.1 Get familiar with the software R
1.2 Understand the main basic statistical techniques in R
1.3 Understand how to prepare a report
2. APPLYING KNOWLEDGE AND UNDERSTANDING
2.1 Import data
2.2 Analyse data both from the graphical/descriptive and inferential point of view, in particular using models
2.3 Prepare a code in R laguage that carries out the necessary statistical analyses
3. MAKING JUDGMENTS
3.1 Being able to recognize the most adequate statistical techniques for the data set at hand and implement them in R
3.2 Being able to read and interpret the statistical results
3.3 Being able to write a report to sum up the results obtained using R

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 statistical softwares (R, Stata)
Student will learn how to use the software R focusing in particular on loading data and handling variables.
2) Descriptive statistics
Starting from real data, students will learn how to build graphical and tabular representations to get meaningful synthesis of the examined phenomenon.
3) Statistical inference
Starting from real data, it will be shown the implementation of some fundamental inferential tools (point estimation, confidence intervals, tests).
4) Linear regression (simple and multiple)
5) More complex regression analysis (e.g. logistic regression)

On-line material available in the moodle Platform from the course web site
Data Analysis with RStudio (2021) Kronthaler F, Zöllner S. Springer

The verification of learning takes place through a written test discussed with the oral presentation.
Students will be required to analyze a set of data in order to verify the mastery of a minimum set of basic knowledge and the skills acquired in the elaboration, interpretation, analysis and communication of available information.
In particular, the exam aims to verify that the student has acquired the concepts presented during the lessons, especially with regard to adequate graphical representations of data sets, be familiar with the data analysis software presented in class and know how to integrate these knowledge and skills for the analysis of economic and business problems.
To this aim, the student will be required to present a report on the analysis of a complex set of data chosen by the student.
Exercises about presentations are offered during classes.

As regards the grade:
A. Scores in the range 18-22 will be awarded if the student shows:
- sufficient knowledge and knowledge applied to the programme,
- sufficient communication skills;
B. Scores in the ranges 23-26 will be awarded if the student shows:
- discrete knowledge and applied understanding of the programme;
- discrete communication skills;
C. Scores in the 27-30 range will be awarded if the student shows:
- good or excellent knowledge and applied understanding of the programme,
- fully appropriate communication skills.
D. lode will be assigned in the presence of excellent skills.

The course consists of frontal lessons, using statistical softwares for data analysis.

Italian

Accessibility, Disability and Inclusion
Accommodation and support services for students with disabilities and students with specific learning impairments

Ca' Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support services and accommodation available to students with disabilities. This includes students with mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services: disabilita@unive.it.

written and oral