- Docente: Federica Galli
- Credits: 6
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics, Consultancy and Accounting (cod. 5981)
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from Nov 07, 2023 to Dec 14, 2023
Learning outcomes
At the end of the course the student will have acquired knowledge of the main tools used in auditing for statistical sampling and basic concepts of prediction and classification. The student will be able to study the dependence of a selected variable from a set of explanatory variables through a multiple regression model; to tackle problems of classification both through discriminant analysis and logistic regression.
Course contents
Introduction to R and RStudio.
Data structures in R. Creation and management of variables and dataframes. Data importing.
Descriptive analysis of data and graphical representations.
Statistical inference for the mean of a gaussian population and for a proportion. Comparison of means and proportion of two population.
Simple and multiple linear regression model. Residual analysis.
Readings/Bibliography
The following books are freely available on the internet.
Wickham, Hadley, and Grolemund, Garrett. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Stati Uniti, O'Reilly Media, 2016. https://r4ds.had.co.nz
Måns Thulin, Modern statistics with R, 2021. http://modernstatisticswithr.com/
The following book is available in bookshops:
Alan Agresti, Maria Kateri, Foundations of Statistics for Data Scientists with R and Python, Taylor & Francis, 2021
Teaching methods
Class lectures.
Each student will need to bring his/her own laptop.
Assessment methods
The exam will be written and will be a practical test of data analysis in a computer laboratory.
Teaching tools
Material provided by the lecturer on virtuale.unibo.it https://virtuale.unibo.it
Statistical software R https://www.r-project.org
Integrated development environment RStudio https://www.rstudio.com
Students with disability or specific learning disabilities (DSA) are required to make their condition known to find the best possibile accomodation to their needs.
Office hours
See the website of Federica Galli
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.