Data Science for Marketing

Objectives

Data science uses interdisciplinary techniques, such as statistics, data visualization, database systems, and machine learning to identify original, useful, and understandable patterns in data.
This course will familiarize students with Data science applications and analytical projects' lifecycle. Students will learn techniques for understanding and preparing data before building analytical models, such as data characterization/description, RFM, or association rules (e.g., market basket analysis). 
 

General characterization

Code

200201

Credits

7.5

Responsible teacher

Vasco Miguel Lourenço Guerreiro Jesus

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

Available soon

Bibliography

Teaching method

Evaluation method

Subject matter