- Docente: Cinzia Franceschini
- Credits: 6
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 8876)
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from Sep 18, 2023 to Oct 24, 2023
Learning outcomes
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.
Course contents
Learning outcomes
By the end of the course, the student will be able to use the R software to deal with business data structures, using both univariate and multivariate statistical approaches. The student will be able to deal with the practical applications of several statistical methods.
Course contents
Introduction to R:
What is R? Downloading and installing.
R basic commands and data structures.
Data import and cleaning.
Functions.
Descriptive statistics and Basic graphs.
Business 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.
Slides of the course.
Teaching methods
Slides and computer laboratory sessions
Assessment methods
One hour written test with TRUE/FALSE questions and practical R exercises
The evaluation will be expressed in grades 0-30
Teaching tools
Slides, datasets, scripts
Office hours
See the website of Cinzia Franceschini