- Docente: Marco Berrettini
- Crediti formativi: 6
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Statistica, economia e impresa (cod. 8876)
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dal 19/09/2022 al 25/10/2022
Conoscenze e abilità da conseguire
At the end of the course the student is able to use different statistical software useful to explore and analyse commonly used business data structures, as well as to manipulate and integrate data from different sources. Moreover, the student knows the modern tools for graphical representation currently used for Business Data Visualization. In particular the student is able: - to use SAS and R programming and tools to clean, arrange, select and manipulate business data, and the basics of using logical operators to pre-process data; - to use SAS and R programming and tools explore business data; - to program using Python language to manage applications, management systems and digital systems transversal to many industries and companies.
Contenuti
R
- Session management
- Language essentials
- Data entry and handling
- Descriptive statistics and graphics
- Statistical inference
- Programming
SAS
- The interface
- Importing data
- Modifying data
- Summarizing data
- Basic statistical procedures
Python
- Overview
Testi/Bibliografia
- P. Dalgaard (2008). Introductory statistics with R (Second Edition). New York: Springer.
- Delwiche, L.D., & Slaughter, S.J. (2012). The Little SAS Book: A Primer (Fifth Edition). SAS Institute.
Metodi didattici
Computer laboratory sessions, group work.
In consideration of the type of activity and teaching methods adopted, attending this course requires students to have preemptively undergone Modules 1 and 2 about security when in rooms and laboratories for studying, through the e-learning platform (https://elearning-sicurezza.unibo.it/).
Modalità di verifica e valutazione dell'apprendimento
The final exam aims at evaluating the acquired capability to exploit statistical softwares for elaborating statistical reports on business data.
Students will be asked to choose among a list of datasets to analyze using both R and SAS. Small groups can be arranged to work on the report throughout the course. The deliverable will be discussed during the oral exam.
The evaluation will be expressed as eligibility (binary outcome).
Strumenti a supporto della didattica
- Scripts
- Datasets
- Slides
Orario di ricevimento
Consulta il sito web di Marco Berrettini