Predictive Analytics : Exponential Smoothing

1,150.00

Description

This course attempts to explain the basic concepts of exponential family of predict modelling. You shall learn about the different components of this family and their relationship. Also learn about how to identify the right model fitment to the given data series.

Exponential smoothing is one of the most powerful and trusted techniques in predictive analytics specially in demand forecasting. Hence it is important to understand the basic premise of the technique to be able to effectively use it when available in various forecasting software.

This course is designed for business users only and does not get in to mathematical derivations of the statistical models.

Who is the target audience?
  • Supply chain professionals
  • Demand planning professionals
  • Business planning professionals
  • Data analytics professionals
  • Management students
Topics Covered:
Introduction
Exponential Smoothing Family of Models
Understanding Additive & Multiplicative Seasonality
Smoothing Constants
Importance of Data Length
Exponential Smoothing Pros & Cons
What Will I Learn?
Basic concepts of exponential smoothing
Relationship between various components
What are the 12 models of exponential smoothing family
How to identify the right model fit for the data series
Examples to understand each model
Requirements
Basic understanding of statistics
Choosing the right model
Includes:
1-hour on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
Examples and Computations

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