90909 - Workshop 2 (WS8)

Academic Year 2021/2022

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

WS8 - DATA ANALYSIS WITH R, part II

This workshop deals with data mining techniques for regression and tools for data visualization.

Topics will be introduced theoretically but also verified in R-based softwares during the laboratory hours.

More in details, the course contents are:

  • Algorithms for regression (simple multi-variate, polinomial, logistic regression);
  • Notions about a correct Data Visualization and Data Visualization in R;
  • Introduction to the Orange software for Data Mining;
  • Presentation of case studies and applications.

Readings/Bibliography

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, p. 18). New York: springer.

Teaching methods

Frontal (if possible) lessons

Assessment methods

Evaluation of a final project

Teaching tools

Slides by the teacher

Office hours

See the website of Elena Morotti