Laboratory "business & Marketing Data Driven Analysis"

A.Y. 2024/2025
3
Max ECTS
20
Overall hours
SSD
INF/01 SECS-S/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 can be attended as a single course.

Course syllabus and organization

Single session

INF/01 - INFORMATICS
SECS-S/01 - STATISTICS
Laboratory activity: 20 hours