QUMT 6350 Machine Learning for Business Analytics

This course introduces students to modern machine-learning methods that can be applied to build predictive models & discover patterns in data for better-informed business decision-making. Students will learn implementation of the machine learning techniques in R programming language for understanding complex datasets. This course will enable students to approach business problems by identifying opportunities to derive business value from data-driven business intelligence. Prerequisites: QUMT 6303 or QUMT 3341 or equivalent.

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