DS 7240: Applied Data Mining

3 Credit Hours
Prerequisite: STAT 7210 or IT 7103
Data Mining is an information extraction activity whose goal is to discover hidden facts contained in databases and perform prediction and forecasting through interaction with data. The process includes data selection, cleaning and coding, using statistical pattern recognition and machine learning techniques, and reporting and visualization of the generated structures. The course will cover all these issues with the emphasis on practical applications. Students will be encouraged to use recent Data Mining software.

Course Learning Outcomes
Students who successfully complete this course will be able to:

Explore the data sets under the context of the business problem with existing data mining software.
Clean and prepare the data for modeling with existing data mining software.
Build various models according to the nature of the business problem and compare them using the chosen software.
Communicate the results clearly in writing and orally.