- Docente: Elena Morotti
- Credits: 4
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
International Relations (cod. 9084)
Also valid for Second cycle degree programme (LM) in International Relations (cod. 9084)
Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Learning outcomes
Workshops are designed to provide students with transversal skills that can prove useful in their future careers. The objective of the workshop is to help students to practice skills through application of information technology, data analysis, decision-making techniques (e.g. simulation) in complex organizations.
Course contents
DATA ANALYSIS WITH R - part I
This workshop is an introduction to Data Mining focusing on practical tools for Data Analysis and on the most used statistical learning techniques for numerical predictions.
Topics will be introduced theoretically but also tested in R-based softwares during the laboratory hours.
More in details, the course contents are:
- Introduction to Data Mining;
- Introduction to programming in R;
- Presentation of Exploratory Data Analysis tools and Regression algorithms for Big Data;
- Implementation of R scripts.
The module WS8 is designed as "part II", however its attendance is not mandatory for WS5 participants.
Readings/Bibliography
Slides by the teacher.
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). "An introduction to statistical learning" (Vol. 112, p. 18). New York: springer.
Teaching methods
Lectures and Laboratory lessons
Assessment methods
Evaluation of a laboratory project in R, with a final written report.
Teaching tools
Slides and script files by the teacher
Office hours
See the website of Elena Morotti