- Docente: Elena Loli Piccolomini
- 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 20, 2024 to Apr 24, 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
- Introduction to programming in R
- Main programming and data structures.
- Graphical functions.
- introduction to data analysis.
- Exploratory data analysis with simple statistical and graphical tools.
- Regression with classical and Machine Learning techniques.
- Case study on a data set.
- the class attendance is mandatory;
- attending this module allows you to attend "B0267 - WORKSHOP ON SKILLS DEVELOPMENT - DATA SCIENCE (ADVANCED) (A)" if you desire to learn more about Data Science.
Teaching methods
Laboratory lessons.
N.B. Considering the didactic methods used, to attend this activity in presence all the students must have completed modules 1 and 2 of security course [https://elearning-sicurezza.unibo.it/] in e-learning mode.
Assessment methods
Evaluation of a report of the student from a trace given by the teacher and eventually a quiz exam.
Teaching tools
Slides of the teacher.
Office hours
See the website of Elena Loli Piccolomini
SDGs



This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.