DATA 320 - Machine Learning

Upper Division

Prerequisites
DATA 105 or MATH 104 or MATH 313; Minimum grade C-.; BSAN 205 or CS 121; Minimum grade C-.

This course covers predictive modeling techniques. Students will also be exposed to a collection of current practices and computer technologies used to transform business data into useful information and support the business decision-making process. Topics include data mining, text and web analytics, and big data strategies. Python will be used in the course and supplemented with other tools as needed.

Repeatable
No

Additional Notes
Previous course number: DATA 139

Course credits: 4