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
Programs
Programs where the course is taught:
- Specialization in Data Science for Marketing
- Specialization in Digital Marketing and Analytics
- Specialization in Marketing Intelligence
- Specialization in Marketing Research and CRM
- Laboral - Especialização em Data Science for Marketing
- Specialization in Digital Marketing and Analytics
- Specialization in Marketing Intelligence
- Master Degree in Data Driven Marketing
- PostGraduate in Data Science for Marketing
- PostGraduate Digital Marketing and Analytics
- PostGraduate Marketing Research e CRM
- PostGraduate in Marketing Intelligence
- PostGraduate in Enterprise Information Systems