Descriptive Methods of Data Mining
Objectives
The curricular unit of descriptive methods of data mining has a primary goal of allowing students to gather skills in extracting information and knowledge from large databases. The success of information systems over the last decades promoted huge databases. These databases have the potential to foster development and significantly increase the wealth of our society, allowing problem resolution. We can say that these data repositories can provide precious resources for improving the quality of decision-making.
Thus, this course addresses the topics and issues typically associated with designations of "Data Mining" or "Knowledge Discovery." This field has been developing rapidly and has become central to various activities. Its contribution extends the scientific marketing research, constituting a significant body of knowledge and is still expanding.
General characterization
Code
200291
Credits
7.5
Responsible teacher
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 Marketing Intelligence
- Master Degree in Data Driven Marketing
- Specialization in Marketing Research and CRM
- Master Degree in Data Driven Marketing
- Specialization in Digital Marketing and Analytics
- Specialization in Digital Marketing and Analytics
- Laboral - Data Science for Marketing
- Specialization in Marketing Intelligence
- PostGraduate in Data Science for Marketing