INFS 6359 Data Mining for Business Analytics

This course provides students with knowledge and skills in the various decision analytical techniques for managerial decision making including big data analytics. A number of well-defined data mining techniques such as classification, estimation, prediction, affinity grouping and clustering, and data visualization will be covered. The Cross Industry Standard Process for Data Mining (CRISP-DM) will also be discussed. The data mining techniques will be applied to diverse business applications including: target marketing, credit risk management, credit scoring, fraud detection, medical informatics, telecommunications and web analytics.

Credits

3

Prerequisite

QUMT 6303 or QUMT 3341 or equivalent

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

Dept of Information Systems

Offered

As scheduled