CPDF Master Course ... 

Completion of Basic + Master Curriculum (35 classroom hours/25 independent hours) – each topic is approximately a 1.5 hour session.  

Module 4

Day 1

Day 2

 

Review – Basic Modules

What are ARIMA models?

 

Creating subjective forecasts

Workshop 18 - ARIMA

 

Workshop 16 – Subjective forecasting 

What are dynamic regression models?

 

What are data- and model-based seasonal adjustment methods?

 

Interpreting and using dynamic regression models

 

Models for large volume forecasting

Workshop 19 – Dynamic regression models

 

Workshop 17 – Automated ES

 

Module 4

Lesson 38        Review of Basic modules

Lesson 39        What are subjective approaches to forecasting?

Workshop 16   Subjective forecasting

Lesson 40        What are data- and model-based seasonal adjustment methods?

Lesson 41        Models for large-volume forecasting applications

Workshop 17   Automated exponential smoothing

Lesson 42        What are ARIMA models?

Workshop 18   Using ARIMA models for automated forecasting

Lesson 43        What are dynamic regression models?

Lesson 44        Interpreting and using dynamic regression models

Workshop 19   Dynamic regression models for forecasting

Module5

Day 1

Day 2

 

What are Logit regression models?

Forecasting with ARIMA transfer function models

 

Interpreting and using logit models

How to combine forecasts

 

Workshop 20 – Consumer choice models/ Market segmentation

How to evaluate forecaster performance?

 

What are multi-variable models?

How to establish forecast ranges

 

How to use econometrics for forecasting

Workshop 22 – Evaluating forecast and forecaster performance

 

Workshop 21 Working with econometric models

 

Module 5

Lesson 45        What are logistic regression models?

Lesson 46        Interpreting and using logit models

Workshop 20   Consumer choice and market segmentation modeling

Lesson 47        What are multi-variable models?

Lesson 48        How to use econometrics for forecasting

Workshop 21   Working with econometric models

Lesson 49        How to forecast with ARIMA transfer function models?

Lesson 50        How do we combine forecasts?

Lesson 51        How do we evaluate forecaster performance?

Lesson 52        How do we establish forecast ranges and scenarios?

Workshop 22   Evaluating forecast and forecaster performance

 

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