Laboratory "llm & Business Intelligence"
A.Y. 2025/2026
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.
Lesson period: Second four month period
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second four month period
INF/01 - INFORMATICS - University credits: 3
Laboratory activity: 20 hours