The University of Texas Rio Grande Valley

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