GSM6023

It relies on two texts that exist in both paper and digital with free access forms. The first half of the course is built around The Handbook of Regression Modeling in People Analytics: WIth Examples in R and Python by Keith McNulty Global Director of Talent Sciences at McKinsey and Company that covers models for discrete data types binary, ordered, nominal choices, counts of events, and survival/duration analysis. The link is here. The second half of the course relies on the excellent Forecasting, Principles and Practice, 3rd Edition, by Rob J. Hyndman and George Athanasopoulos of Monash University in Australia that is entirely supported by R libraries for time series problems. The link is here. The lectures will focus on intuition and the mathematical logic but the goal is to put the tools into practice. To this end, the expectations are weekly homework exercises with self-checks to insure that we can actually do what we are presented but there are two key summary deliverables: a project employing a detailed application of choice models near the middle and a project in time series forecasting due at the end of the term. Both will be presented at the end of the term.

Atkinson Graduate School of Management

Salem, Portland