Andrew is a CPA and recently earned his Master's in Finance at the USC Marshall School of Business. While at USC, he specialized in data science with applications in finance and econometrics. Andrew has taught everything from statistics to econometrics to statistical software. He loves discussing productivity hacks and will happily bend your ear about the "Getting Things Done" organizational method. In his free time, Andrew loves playing around with Linux (butterflies > vim > emacs), going on long bike rides around Los Angeles, and pretending that he's a much better cook than he actually is.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.