Laboratory "business & marketing data driven analysis"
A.A. 2024/2025
Obiettivi formativi
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.
Risultati apprendimento attesi
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.
Periodo: Secondo trimestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
INF/01 - INFORMATICA
SECS-S/01 - STATISTICA
SECS-S/01 - STATISTICA
Attivita' di laboratorio: 20 ore