Certified Professional in Demand Forecasting

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

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

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