- Docente: Cinzia Franceschini
- Credits: 3
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Law, Economics and Governance (cod. 5811)
Also valid for Second cycle degree programme (LM) in Law and Economics (cod. 5913)
Second cycle degree programme (LM) in Law and Economics (cod. 9221)
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from May 05, 2023 to May 26, 2023
Learning outcomes
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
Course contents
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).
Readings/Bibliography
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.
Teaching methods
Frontal lectures and laboratory tutorials
Assessment methods
Written test with TRUE/FALSE questions and practical R exercises
Teaching tools
Blackboard, slides, computer lab.
Office hours
See the website of Cinzia Franceschini