Get in Touch

Course Outline

Key Challenges for Forecasters

  • Customer demand planning
  • Investor uncertainty
  • Economic planning
  • Seasonal fluctuations in demand and utilization
  • The roles of risk and uncertainty

Time Series Methods

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

Econometric Methods (Causal Methods)

  • Regression analysis using linear 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 Advanced Methods

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

Requirements

Strong proficiency in Microsoft Excel or other spreadsheet applications.

Solid foundation in mathematics and statistics.

 14 Hours

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories