Course Outline
Key Challenges for Forecasters
- Customer demand planning.
- Investor uncertainty.
- Economic planning.
- Seasonal fluctuations in demand and utilization.
- The impact of risk and uncertainty.
Time Series Methods
- Moving average.
- Exponential smoothing.
- Extrapolation.
- Linear prediction.
- Trend estimation.
- Growth curve analysis.
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 Methods
- Simulation.
- Prediction markets.
- Probabilistic and ensemble forecasting.
- Reference class forecasting.
Requirements
Proficiency in Excel or other spreadsheet applications.
Strong foundation in mathematics and statistics.
Testimonials (4)
Mr Andrew easily understood and responded so well to participants' answers.
Junaidah Ahmad - GAS MALAYSIA DISTRIBUTION SDN BHD
Course - Market Forecasting
- I finally can implement the right analysis method to what I currently work on. - Discussion on general issues (worldwide) which is related to the training topic.
Lizawati Pati - GAS MALAYSIA DISTRIBUTION SDN BHD
Course - Market Forecasting
1.The presentation style of Mr. Andrew, engaging with the style of audience.
MUHAMMAD ZAID SALMAN - GAS MALAYSIA DISTRIBUTION SDN BHD
Course - Market Forecasting
Trainer's subject knowledge was such that complex subjects seemed easy, and he genuinely inspired me with enthusiasm for the topic. My session worked out as 1:1, and it was a real privilege to get the benefit of such a high caliber of trainer in the context of personal tuition.. . Hancock International.
