FM 329 — Predictive Analytics for Planning and Forecasting (Interdisciplinary)

3 credits; 2 lecture and 2 lab hours

This is an interdisciplinary course cross-listed with MA 329. This course provides students interested in predictive analytics with an understanding of statistical applications to retail merchandising with a focus on case studies from the company Planalytics. Students apply time series analysis to case studies to understand how analytics techniques lead to stronger sales, fewer markdowns and improved gross margins.
Prerequisite(s): MA 222.