Teaching code

4S010387

Teacher

Marco Minozzo

Coordinatore

Marco Minozzo

Credits

3

Also offered in courses:

• Data Analysis Laboratory with R (Verona) of the course Bachelors' degree in Business Administration and Management
• Data Analysis Laboratory with R (Verona) of the course Bachelor's degree in Business Administration (Verona)
• Data Analysis Laboratory with R (Verona) of the course Bachelor's degree in Economics and Business (Verona)
• Data Analysis Laboratory with R (Verona) of the course Master’s degree in Banking and Finance
• Data Analysis Laboratory with R (Verona) of the course Master’s degree in Marketing and Corporate Communication
• Data Analysis Laboratory with R (Verona) of the course Master’s degree in Business Administration and Corporate Law
• Data Analysis Laboratory with R (Verona) of the course Master’s degree in Economics and Data Analysis
• Data Analysis Laboratory with R (Verona) of the course Master's degree in Corporate governance and business administration

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Periodo generico dal Oct 1, 2021 al May 31, 2022.

Lessons timetable Moodle Seminars

Learning outcomes

The course "Data Analysis Laboratory with R" is an optional "type f" activity, which allows to students to obtain 3 CFU, once a final examination is passed. In particular:

- The course is available only to students that are regularly enrolled to the academic year 2021/202.

- All CdL and CdLM students, of the Verona campus, of the School of Economics and Management can register. In case of limitations to the total number of places available, requests for participation will be considered following the registration order, considering that priority will be given to CdLM students, in particular to students of the Master’s degree in Economics and Data Analysis, and of the Master’s degree in Banking and Finance.

- Participation to the course does not require any particular background knowledge of the software R.

- The lessons will be delivered online through Zoom meetings. All the lessons will be registered for later viewing.

- There will be two courses, one in the first semester and another one in the second semester.

- The course consists of 18 hours of exercise lessons and tutorial activity (plus 2 hours of final examination).

The tentative calendar of the lessons of the first semester is the following:

Wednesday 13 October 2021, 15:30-18:30;
Wednesday 20 October 2021, 15:30-18:30;
Wednesday 27 October 2021, 15:30-18:30;
Wednesday 3 November 2021, 15:30-18:30;
Wednesday 10 November 2021, 15:30-18:30;
Wednesday 17 November 2021, 15:30-18:30.

The calendar of the lessons of the second semester will be available as soon as possible.

Tutor (first semester): dott. Martino Tisocco
Tutor (second semester): to be defined


For the course of the first semester, it is possible to register from the 1st of October 2021 to the 30th of November 2021.

For the course of the second semester, it is possible to register from the 1st of October 2021 to the 31st of March 2022.

Please, register through the elearning platform (Moodle). Students without a university IT account can ask to be registered by writing an email to the coordinator of the course. All other students must use the procedure on Moodle.

Program

R is an open-source software for statistical computing. Created at the end of the 1990s from the S software, R is a multi-paradigm language that over the course of two decades has acquired a central role among statistical software, thanks also to the development of more than 16000 packages implementing techniques and methods coming from the most diverse fields of methodological and applied statistics. In recent years, thanks to the development of an entire family of packages aimed at simplifying and organizing on a new basis the programming methods and the interaction with R, the software has found new opportunities to express its potential to the fullest. The R language, together with Python, is now considered the reference language in modern data science and, in particular, for machine learning. It easily interfaces with many other software such as Excel, Tableau, Microsoft Power BI etc.

The course aims to provide the basics of the programming and operating philosophy of the R software, introducing the participants to some of the most recent innovations. After the introduction of the R language and of R Studio (the most used IDE for R), the course will focus on the following topics: data processing and manipulation techniques, advanced graphical tools for statistical analysis, graphic representation of geo-referenced information, regression analysis, Monte Carlo simulations, automatic reporting and production of interactive documents.

Bibliography

Examination Methods

The final examination, which will very likely take place online through a Zoom meeting, will consist in a written exam, followed by an oral examination, if necessary, on the use of the software R. There will be just one date for the final examination.