ECO 560 - Applied Data Analytics

Credit Hours: 3
Students will learn and apply a variety of supervised, unsupervised, and meta machine learning algorithms to learn how to transform information into actionable intelligence. To that end, students will acquire coding skills and gain experience with statistical programming applications.

Prerequisite: QBA 237 or equivalent; and undergraduate business majors must be admitted to degree program.
Lecture contact hours: 3

Typically offered: Demand