DS 135 - Data Analytics

Prerequisite: DS 123 or permission of instructor
Analysis of large datasets to discover relationships and improve prediction and decision making. Techniques include data visualization, online analytical processing, multiple regression, logistic regression, recursive portioning, neural networks, and cluster analysis. Management applications and software tools. (Formerly DS 189T)

Weekly Lecture Hours: 2
Weekly Lab/Activity Hours: 2
Units: 3

Course Typically Offered: Fall