90905 - Workshop 1 (WS5)

Academic Year 2019/2020

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

WS5 - PROGRAMMING STATISTICS

1) Introduction to Data Mining (main applications, basic algorithms)

2) Programming with R (basic commands, variables and i/o,  graphics, control flows)

3) Descriptive statistics in R

4) Statistical learning for linear regression

Readings/Bibliography

1) Notes from the teacher

2) Kabacoff, Robert I. R in Action: Data analysis and graphics with R,  Manning Publications, 2010

3) James, Gareth, et al. An introduction to statistical learning. Vol. 112. New York: springer, 2013.

Teaching methods

Lectures and laboratory exercises.

The class attendance is mandatory.

Assessment methods

Students are asked to write a report about the exercises assigned during the course.

Teaching tools

Slides and program files from the teacher.

Office hours

See the website of Elena Morotti