Course Outline

Problems facing forecasters

  • Customer demand planning
  • Investor uncertainty
  • Economic planning
  • Seasonal changes in demand/utilization
  • Roles of risk and uncertainty

Time series methods

  • Moving average
  • Exponential smoothing
  • Extrapolation
  • Linear prediction
  • Trend estimation
  • Growth curve

Econometric methods (casual methods)

  • Regression analysis using linear regression or non-linear regression
  • Autoregressive moving average (ARMA)
  • Autoregressive integrated moving average (ARIMA)
  • Econometrics

Judgemental methods

  • Surveys
  • Delphi method
  • Scenario building
  • Technology forecasting
  • Forecast by analogy

Simulation and other methods

  • Simulation
  • Prediction market
  • Probabilistic forecasting and Ensemble forecasting
  • Reference class forecasting

Requirements

Good Excel or other Spreadsheet knowledge

Solid Maths and Statistics knowledge

  14 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 9:30 am and 4:30 pm.
Open Training Courses require 5+ participants.

Testimonials (3)

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