Laboratory "business & Marketing Data Driven Analysis"
A.Y. 2024/2025
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.
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 trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
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
INF/01 - INFORMATICS
SECS-S/01 - STATISTICS
SECS-S/01 - STATISTICS
Laboratory activity: 20 hours