90909 - Workshop 2 (WS7)

Academic Year 2020/2021

  • 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

WS7 - BIG DATA, part II

Example of Data Mining techniques and applications. In particular:

- machine learning algorithms for classification

- tools for big data collections and analysis

- tools for binary and multi-task classification and sentiment analysis

- examples and exercises in R or Orange

 

Readings/Bibliography

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

Slides by the teacher

Teaching methods

Virtual lectures

Assessment methods

Evaluation of a final project

Teaching tools

Slides by the teacher

Office hours

See the website of Elena Morotti