- Docente: Giorgio Cappello
- Credits: 6
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 6811)
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from Sep 15, 2025 to Oct 21, 2025
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
Students will be addressed and trained to use some of the most popular software SAS, R-Studio, STATA and IBM-SPSS to manage business data structures and then they will be able to choose one of those listed above to use univariate and multivariate statistical approaches and other basic statistical analysis models. The student will be able to manage the practical applications of different statistical methods also in relation to the appropriate use of Phyton
Readings/Bibliography
- Field, Andy. 2009. Discovering Statistics Using SPSS (third edition), Sage Publication Ltd, London (UK).
- Davies, D. Tilman. 2020. The Book of R. The first course in programming and statistics, No Starch Press Inc., San Francisco, CA: (USA).
- SAS Company Ltd. 2011. SAS/IML 9.3 User's Guide, SAS Institute Inc., Cary NC: (USA).
-StataCorp. 2025. Stata 19 Getting Started with Stata for Windows. College Station, TX: Stata Press, pp. 160.
-Das Udayan, Lawson Aubrey, Mayfield Chris Wiley, Norouzi Narges. 2024. Introduction to Python Programming, OpenStax Rice University, Houston, TX: pp. 415.
(*) Only students enrolled in the course and on "Virtuale" will have free access to the publications as above by downloading the PDF files.
Teaching methods
Lessons will be held in a computer room where the instructor will use slides, video tutorials, and practical computer work sessions with previously installed software.
Assessment methods
- Standard Test is a written test with multiple closed answers (generally 3 or 5 closed answers) and will consist of 30, in 60 minutes, to produce the maximum final grade of 30/30; the test is considered passed with the minimum score of 18/30, i.e. 18 correct questions out of the 30 foreseen following the University of Bologna regulations.
- The test will have a composition of questions generated randomly not to allow identical sets of questions for each student admitted to the exams.
- The Test will be administered in the computer room through the UNIBO EOL system. Students can refuse the grade only once, there will be adequate time to communicate the acceptance and refusal of the grade, and therefore students are allowed to repeat the exam just a second time in agreement with the teacher.
Teaching tools
During the class sessions will be used useful slides, datasets, and scripts to statistical software, stored in a specific shared folder located in the UNIBO Microsoft OneDrive. Only students enrolled in the course will be granted permission to download and upload works, documents, materials, data, files, and reports needed during the lecture sessions.
Links to further information
https://www.linkedin.com/in/giorgio-carlo-cappello-b68b24b8/
Office hours
See the website of Giorgio Cappello