Academic Year 2023/2024

Learning outcomes

Workshops are designed to provide students with transversal and multidisciplinary skills that can prove useful in their future careers. At the end of the course, students have basic knowledge about Data Mining and have experienced a programming language to write simple data analysis programs.

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.

  1. the class attendance is mandatory;
  2. 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


Quality education Gender equality Decent work and economic growth

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