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Course Outline
Problems facing forecasters
- Customer demand planning
- Investor uncertainty
- Economic planning
- Seasonal changes in demand/utilization
- Roles of risk and uncertainty
Time series Forecasting
- Seasonal adjustment
- Moving average
- Exponential smoothing
- Extrapolation
- Linear prediction
- Trend estimation
- Stationarity and ARIMA modelling
Econometric methods (casual methods)
- Regression analysis
- Multiple linear regression
- Multiple non-linear regression
- Regression validation
- Forecasting from regression
Judgemental methods
- Surveys
- Delphi method
- Scenario building
- Technology forecasting
- Forecast by analogy
Simulation and other methods
- Simulation
- Prediction market
- Probabilistic forecasting and Ensemble forecasting
Requirements
This course is part of the Data Scientist skill set (Domain: Analytical Techniques and Methods).
Testimonials
Practical exercises with R were very helpful.
CEED Bulgaria
The exercises.
Elena Velkova - CEED Bulgaria
He was very informative and helpful.
Pratheep Ravy
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