- Docente: Elena Morotti
- Credits: 4
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Politics Administration and Organization (cod. 9085)
Also valid for Second cycle degree programme (LM) in International Relations (cod. 9084)
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from Feb 11, 2025 to Mar 21, 2025
Learning outcomes
The workshop aims to equip students with soft skills that can prove useful in their future careers. The goal is to develop students' skills through hands-on exercises. The laboratory intends to make students acquire the methodological and technical-IT knowledge useful for the preparation of data for analysis (construction of data matrices) and for the application, through the use of statistical packages such as SPSS and STATA, of analysis techniques basic (monovariate analysis and evaluation of the relationships between qualitative and quantitative variables by means of the production of contingency tables and the corresponding measures of significance and association) applied to data obtained from national and international surveys.
Course contents
This workshop presents students a wide overview of the Data Science discipline. It focuses on the processing techniques for the exploratory data analyis and understanding of structured data sets.
More in details, the course contents are:
- Introduction to Data Mining;
- Introduction to programming in R;
- Presentation of tools for the analysis of data sets and techniques for Data Vizualization;
- Implementation of R scripts with specific libraries for data visualization.
Topics will be introduced theoretically but also verified in R-based softwares during the laboratory hours.
ATTENTION: the class attendance is mandatory.
Readings/Bibliography
Slides by the teacher
ROBERT, I., et al. "R in action: data analysis and graphics with R". 2011.
Teaching methods
Lectures and computer lab sessions.
Assessment methods
The final assessment consists of two phases:
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Multiple-choice quiz: The quiz includes 20 questions covering the entire course program. Passing the quiz is necessary to proceed to the next phase.
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Project evaluation: Students must complete a project in which they analyze data using the R programming language. The project will be positively evaluated if it meets the criteria established in the project guidelines (discussed during the class hours) and demonstrates proficiency in using R and understanding the results obtained.
Teaching tools
Slides by the teacher and R scripts developed during the course
Office hours
See the website of Elena Morotti