90905 - Workshop 1 (WS5)

Academic Year 2019/2020

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • 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)

Learning outcomes

The course aims at introducing students to the utilization of one of the main statistical packages for data analysis and presenting to them the basic elements of micro-data management and analysis. By the end of the course students will be familiar with the statistical package interface and be able to: load different types of data and different file formats into the statistical package, perform basic data management operations and conduct monovariate and multivariate statistical analyses using the software introduced during the course.

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