Certification in WFM Forecasting Basic & Advanced

WFM Forecasting course is Designed, Curated and Facilitated  with the real time business cases. The course contains learning from Basic to Advanced level of Forecasting.
4.7
(625)
5,519 Enrolled
20 hours20 minutes

About Course

WFM Forecasting Course Content covered the basic and advanced stages of the following chapters

Basic Forecasting Program

1. Introduction to  Basic WFM Forecasting

2. WFM Forecasting Level-A (Detailed coverage of WFM Forecasting)

3.WFM Forecasting Level-B (Detailed coverage of WFM Forecasting)

4. Statistics for WFM Forecasting

5. Introduction to Forecasting ( Practical session)

6. Masterclass coverage on overview of WFM Forecasting ( Masterclasses are conducted by very Sr. WFM Experts in the Forecasting area)

a) The purpose of Forecasting in the organization
b) Classification of Forecast
c) Forecasting Methods
d) Synthetic Forecasts
e) Analytical Estimates
f) Use of Economic Indicators
g) Forecasting Process Flow Chart
h) Types of forecasting approaches
i) Point Estimation
j) Averaging approaches
k) Simple Average
l) Moving Average
m) Limitations of Moving average
n) Weighted Moving Average
o) Time Series Analysis
p) Trend Analysis
q) Seasonality Analysis
r) Final Forecast table
s) Day of the week calculation example
t) Funnel Approach of Forecasting

Advanced Forecasting Program

7.WFM -Forecasting Methodologies :The Linear Regression Model in Forecasting

8.WFM -Forecasting-Forecasting Methodologies

a)Time Series

b)Simple Exponential

c)Holt Forecasting

d)Holt Winter Forecasting

e)ARIMA

9.WFM Time Series Forecasting continuous session and next level of Statistics followed by practical session with Q&A

10.Forecasting ARIMA practical session followed by practical session

11.Exponential Smoothing followed by practical session

a)Simple Exponential Smoothing

b)Double Exponential Smoothing (Additive/Multiplicative)

c)Triple Exponential Smoothing (Additive)

d)Triple Exponential Smoothing (Multiplicative)

e.)Method Selection

12.Exponential Smoothing followed by practical session and Q&A

13.RFP Masterclass ,Overview at the organisation level  

14.How to design RFP , template is attached for your reference 

15.Scenario based Practical Q&A session 

 

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What Will You Learn?

  • Get an in depth understanding of the Fundamentals of Forecasting and then Advanced level .
  • The course is curated and facilitated with the real time business cases 
  • To learn Classification of Forecast
  • To learn Forecasting Methods
  • To learn  Analytical Estimates
  •  To learn how to use of Economic Indicators
  • To get to know Forecasting Process Flow Chart
  • To learn types of Forecasting Approaches
  • The complete Statistical in Forecasting with practical sessions 
  • followed by assignments 
  • Clearing donut of real problems of industry and organisations 

Material Includes

  • Tutorial Booklets
  • Instruction Videos

Requirements

  • No experience or pre-knowledge required
  • Any computer and/or laptop (both Window and Mac OS)
  • No special software needed, just a connection to the Internet

Audience

  • Professionals with background of
  • WFM/ HR / Operation / Resource Management / RM / Workforce Planners

Course Content

GWFM Certification Recognition & Branding Guide

  • GWFM Certification Recognition & Branding Guide
    05:00

Getting started in the Forecasting course
Getting started in the Forecasting course

Instructors

gwfmlearning

gwfmlearning

4.7
6879 Students
35 Courses

Feedback

4.7
Total 625 Ratings
76.32%
18.56%
3.52%
0.16%
1.44%

Reviews (625)

  1. JA
    Excellence
  2. NA
  3. DS
    good
  4. ME
    Im learning a lot thankyou so much for this.
  5. PB

    Promit Banik

    2 weeks ago
    Good
  6. Prashant Dwivedi

    Prashant Dwivedi

    2 weeks ago
    Super
  7. 2 weeks ago
    na
  8. 3 weeks ago
    asdsfsfsfsf
  9. 3 weeks ago
    Na
  10. 4 weeks ago
    NA
  11. SR

    Sumanth R

    1 month ago
    Great
  12. 2 months ago
    good
  13. 2 months ago
    Na
  14. 2 months ago
    Good
  15. 3 months ago
    Good
  16. 3 months ago
    Na
  17. 3 months ago
    na
  18. 3 months ago
    na
  19. 3 months ago
    Good
  20. 3 months ago
    Good

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