Teaching code

4S008960

Teacher

Alessandro Zonin

Coordinator

Alessandro Zonin

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Period

Secondo semestre L dal Feb 17, 2025 al May 30, 2025.

Courses Single

Authorized

Lessons timetable Moodle Seminars 0

Learning objectives

The course aims at introducing the basics of statistical learning and the techniques for manipulating and analysing large datasets with complex structures. Particular emphasis is devoted to regression and classification methods, which are studied both from a statistical and a computational perspective. All techniques are illustrated with real-data examples using statistical software. The application-oriented approach of the course aims at developing participants' skills in analysing data and applying statistical methods and algorithms appropriately.

Prerequisites and basic notions

No specific prerequisites are required.

Program

The course is divided into four parts: • Introduction to data analysis and big data. Concepts, definitions, challenges and opportunities. Sources, types and characteristics of data. Data lifecycle. Data management and data governance. • Tools and Methods. Software for data extraction, manipulation, analysis and visualization, including Socioviz, KNIME and Power BI. Data cleaning and data preparation. Data quality defects. Duplicate data. Missing values. Machine Learning and Generative AI. In-depth analysis of data visualization, dashboard and storytelling techniques. • Data analytics across various industries and domains. Examples and case studies in areas such as: business, marketing, social media analysis and social network analysis. • Evaluation and communication of data and analyses. Criteria and indicators for the quality, relevance and ethics of data and analyses. Principles and good practices for communicating data and analyses. Writing reports, articles, presentations. Discussion and comparison of results and implications.

Bibliography

Didactic methods

The teaching is structured in 48 hours of teaching (6 CFU), divided into 3-hour lessons based on the academic calendar. The teaching, which consists of theoretical and practical lessons, is delivered in person with video recordings. With the aim of maximizing the effectiveness of teaching and ensuring the correct balance between theory and laboratory, the typical teaching week is characterized as follows:
• Theoretical lesson with possible external intervention by sector experts, in presence or through video conferences
• Hands-on workshops for the practical application of concepts.
• Discussion and analysis of case studies.

Learning assessment procedures

The exam consists of a written test; no oral supplements are foreseen.

Evaluation criteria

The written test lasts one hour and thirty minutes and covers the entire course program. During the test it is not possible to use notes or other teaching materials.

Criteria for the composition of the final grade

Written exam with multiple choice questions and any open questions. There are no intermediate appeals.

Exam language

Italiano