DATA SCIENCE
Stampa
Enrollment year
2019/2020
Academic year
2019/2020
Regulations
DM270
Academic discipline
SECS-S/01 (STATISTICS)
Department
DEPARTMENT OF ECONOMICS AND MANAGEMENT
Course
ECONOMICS, FINANCE AND INTERNATIONAL INTEGRATION
Curriculum
Finance
Year of study
Period
1st semester (23/09/2019 - 21/12/2019)
ECTS
9
Lesson hours
66 lesson hours
Language
English
Activity type
WRITTEN AND ORAL TEST
Teacher
GIUDICI PAOLO STEFANO (titolare) - 9 ECTS
Prerequisites
Statistics
Learning outcomes
Introduction to data science methods, software codes and applications
Course contents
Descriptive statistics. Cluster analysis. Network models. Linear regression. Logistic regression.
Tree models. Factor analysis. Neural networks.
Application to fintech risk management.
Teaching methods
Papers, R software codes, data
Reccomended or required readings
Handed out during the class.
Assessment methods
Written exam and discussion of a case study.
Further information
Sustainable development goals - Agenda 2030