Online Program

Predictive Analytics – Exponential Smoothing

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.

Predictive Analytics – Exponential Smoothing

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Who is it for?​

  • Supply chain professionals
  • Demand planning professionals
  • Business planning professionals
  • Data analytics professionals
  • Management students

What does it include?

  • 1-hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Examples and Computations

Requirements

  • Basic understanding of statistics
  • Choosing the right model

Curriculum

  • Introduction
  • Exponential Smoothing Family of Models
  • Understanding Additive & Multiplicative Seasonality
  • Smoothing Constants
  • Importance of Data Length
  • Exponential Smoothing Pros & Cons

What will you 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

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