- Docente: Cinzia Franceschini
- Crediti formativi: 3
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
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Corso:
Laurea Magistrale in
Economia e diritto (cod. 5913)
Valido anche per Laurea Magistrale in Law, Economics and Governance (cod. 5811)
Laurea Magistrale in Economia e diritto (cod. 9221)
Conoscenze e abilità da conseguire
By the end of these sessions, students should be able to use R for: • Cleaning and merging data, • Exploratory data analysis, • Describe key features of probability distributions • Basic re-sampling methods for data analysis • Econometric techniques such as linear regressions and generalised linear models for binary dependent variables
Contenuti
Learning outcomes
By the end of the course, the student will be able to use the R software in the application of well-known statistical methods to real financial datasets.
Course contents
Introduction to R: what is R? R basic commands and data structures. Data import and cleaning. Functions. Basic graphs.
Financial data analysis with R: application of some statistical methods through R (univariate statistics, bivariate statistics, linear regression).
Testi/Bibliografia
Peter Dalgaard. Introductory Statistics with R. Springer, New York, 2002.
John Verzani. Using R for Intoductory Statistics. Chapman & Hall/CRC, Boca Raton, FL, 2005.
Course slides.
Metodi didattici
Frontal lectures and laboratory tutorials
Modalità di verifica e valutazione dell'apprendimento
Written test with TRUE/FALSE questions and practical R exercises
Strumenti a supporto della didattica
Blackboard, slides, computer lab.
Orario di ricevimento
Consulta il sito web di Cinzia Franceschini