17241 - Data Analysis Laboratory (A-L)

Academic Year 2019/2020

  • Moduli: Matteo Farnè (Modulo 1) Matteo Farnè (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)

Course contents

Prerequisites

It is recommended the knowledge of Mathematics and of Descriptive Statistics.

Course contents

Phases of statistical analysis. Cleaning and organisation of a real dataset. Explorative analysis and graphical representation.

Introduction to the open-source R software.

Analysis of the association between 2 or more variables and interpretation of the obtained results. Production of a statistical report with the aim of presenting the results.

All the topics are presented and developed using the tools provided by Microsoft Excel and R.

Readings/Bibliography

Teaching material provided by the lecturer on IOL and during on-line lectures.

Teaching methods

Practical lectures on-line on Microsoft Teams.

Teaching tools

Microsoft Teams. Excel. R. PDF reader.

Office hours

See the website of Matteo Farnè

SDGs

Quality education

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.