Lesson 6: Time Series Forecasting

September 27, 2015

Sep 28, 2015

Review:

Presentation:

  • Time Series Forecasting (sample data: Crude Oil Prices)
    • Linear Trend
    • Moving Average
    • Polynomial Curve Fitting

Activity:

  • Develop Linear Trend Model (by hand)
  • Generate Forecast for next 3 months

Assignment:

  • Use Sheets and Crude Oil Price Data to Generate Forecasts (for Oct, Nov, Dec 2015). Develop 3 sets of forecasts using the 3 approaches demonstrated in class: (1) linear trend, (2) moving average and (3) polynomial fit.
  • Post results to your blog

Justin

Justin Holman is CEO of Aftermarket Analytics, where he leads efforts to develop cutting edge sales forecasting and inventory optimization technology for the Automotive Aftermarket. Prior to joining Aftermarket Analytics, Justin managed corporate consulting for the Strategy & Analytics division at MapInfo Corporation, leading major projects for retail clients including The Home Depot, Darden Restaurants, Bridgestone-Firestone, Sainsbury’s and New York & Company. Before that, Justin served as Vice President of Software Development at LogicTools, now part of IBM's supply chain application software group. Justin holds a B.A. from Claremont McKenna College, a Ph.D. from the University of Oregon and an Executive Management certificate from Northwestern University's Kellogg School of Management.

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