CPDF® (BASIC) Curriculum ... 

You can achieve forecasting excellence by completing a 90 hours Curriculum; – 15 hours for a two-day Instructor-led CPDF Hands-on Workshop and 75 hours comprised of online e-learning combined with self study.

Day 1

Time

Hands-on Workshop

 

9:00

Part 1 – Demand Forecasting in the Supply Chain

 

9:30

Workshop 1 – Assessing the Impact of Factors: Ice Cream and Tourism Cases

 

10:00

Part II – Data Exploration for Forecasting

 

10:30

Coffee Break

 

10:45

Workshop 2 – Establishing Trend and Seasonal Components

 

11:15

Readout of Workshops 1 and 2

 

11:30

Part III – Seasonal Decomposition of a Time Series

 

12:30

Lunch

 

13:30

Workshop 3 -  Seasonal Adjustment – Ice Cream and Tourism Cases

 

14:30

Part IV –  Smoothing, Trending, and Outliers

 

15:30

Coffee Break

 

15:45

Workshop 4 – Forecasting With Short-term Forecasting Models

 

16:30

Readout of Workshops 3 and 4

Day 2

 

 

 

9:00

Part V – Improving Forecasting Accuracy

 

9:45

Workshop 5 – Measuring Forecast Accuracy

 

10:30

Coffee Break

 

10:45

Part VI – Tracking Tools

 

11:15

Workshop 6 – Creating a Time-Phased Order Forecast

 

12:15

Readout of Workshops 5 and 6

 

12:30

Lunch

 

13:30

Part VII - Practical Uses of the Forecast

 

14:30

Workshop 7 - A Simulated Forecasting Game – GLOBL Case

 

15:30

Coffee Break

 

16:00

Part VI - Implementing the Forecasting Process

After you complete this two-day instructor-led workshop, you will need to complete and submit nine (9) self-paced computer workshop exercises re-enforcing the principles, techniques and practices used by demand forecasters worldwide to qualify for CPDF(Basic) certification. Upon completion of this phase your CPDF (Basic) designation will help you stay competitive and enhance your salary opportunities of your career today.


Computer Workshops

8

  Establishing Data Sources for Demand Forecasting


9

  Who Are the User and How Can They Benefit from Your Forecasts?


10

  Why Trend Analysis Can Help Improve Forecasting Accuracy? Trends

11

  Interpreting Causal Models in Business Applications

12

  Achieving Success With Complex Models

13

  Effective Uses of Qualitative Variables

14

  How Regression Models Are Used in Forecasting Practice

15

  How Promotions and Dummy Variables Cam Improve Statistical Modeling

16

  How to Reconcile Forecasts Along Multiple Forecast Horizons and Across Data Hierarchies
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