- 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 Mar 05, 2024 to Apr 17, 2024
Learning outcomes
I workshop sono progettati per fornire agli studenti competenze trasversali e multidisciplinari che possono rivelarsi utili nelle loro future carriere. Al termine del corso, lo studente ha acquisito conoscenze di base di Data Mining e ha fatto esperienza di un linguaggio di programmazione per realizzare semplici programmi di analisi dati.
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 and approaches for the exploration of Big Data sets;
- 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 Laboratory lessons.
It is necessary to previously attend the online courses on health and safety for students of University of Bologna, "module 1" and "module 2", available at https://elearning-sicurezza.unibo.it/?lang=en
Assessment methods
Evaluation of a report of the student from a trace given by the teacher and eventually a quiz exam.
Teaching tools
Slides by the teacher
Office hours
See the website of Elena Morotti