DATA SCIENCE: METHODOLOGICAL AND COMPUTATIONAL ASPECTS
Stampa
Enrollment year
2020/2021
Academic year
2020/2021
Regulations
DM270
Academic discipline
SECS-S/03 (STATISTICS FOR ECONOMICS)
Department
DEPARTMENT OF POLITICAL AND SOCIAL SCIENCES
Course
Curriculum
PERCORSO COMUNE
Year of study
Period
2nd semester (01/03/2021 - 28/05/2021)
ECTS
6
Lesson hours
40 lesson hours
Language
Italian
Activity type
ORAL TEST
Teacher
FIGINI SILVIA (titolare) - 6 ECTS
Prerequisites
-
Learning outcomes
Methodological and computational approaches for data analytics.
Course contents
Descriptive and exploratory data analysis.

Outliers identification and detection.

Machine learning models.

Software for data analysis (R and Python).
Teaching methods
Lessons and tutorials.
Reccomended or required readings
An Introduction to Statistical Learning
(Robert Tibshirani and Trevor Hastie) - Springer.

Papers and references suggested during lessons.
Assessment methods
Real data analysis
Further information
-
Sustainable development goals - Agenda 2030