EC 423 - Economics and Business Analytics

Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3

This course introduces the overall process of business analytics and data analytics tools, including: 1) business understanding and analytics problem framing; 2) data preparation and methodology selection; 3) algorithms, programming, and machine learning; 4) predictive analytics models; and 5) prescriptive analytics models and optimization. The course will include use of the Python and R programming languages (no prior programming experience is required). Prerequisite(s): EC 203 or MA 220 or PS 205 or IS 301 with a grade of C or better.