Laboratory "llm & Business Intelligence"

A.Y. 2025/2026
3
Max ECTS
20
Overall hours
SSD
INF/01
Language
English
Learning objectives
Students will understand data-driven decision making, learn customer segmentation techniques, and develop targeted marketing strategies. They will grasp market basket analysis, implement recommendation systems, and perform predictive analytics. Additionally, students will analyze text data using Large Language Models (LLMs) and develop data visualization and storytelling skills with Power BI.
Expected learning outcomes
Students will demonstrate enhanced analytical skills and effectively segment customers for targeted marketing. They will structure recommendation systems and predictive models, analyze unstructured text data for insights, and create compelling visualizations. Ultimately, students will understand the critical relationship between data and business, enabling them to drive informed decisions and communicate findings effectively in real-world scenarios.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Lesson period
Second four month period
Course syllabus
The syllabus is shared with the following courses:
- [BBL-43](https://www.unimi.it/en/ugov/of/af20260000bbl-43)
INF/01 - INFORMATICS - University credits: 3
Laboratory activity: 20 hours