Business Analytics: Forecasting with Exponential Smoothing
With Conrad Carlberg
Liked by 2,678 users
Duration: 1h 5m
Skill level: Advanced
Released: 2/12/2018
Course details
Exponential smoothing is a term for a set of straightforward forecasting procedures that apply self-correction. Each forecast comprises two components. It's a weighted average of the prior forecast, plus an adjustment that would have made the prior forecast more accurate. Smoothing—like most credible approaches to forecasting—requires a baseline of observations, in sequence, to work properly. Weekly revenues and daily hospital admissions are typical examples. Several versions of exponential smoothing exist, each corresponding to a type of baseline. In this course, Conrad Carlberg provides an introduction to simple exponential smoothing, diving into the basic idea behind it, and explaining how to assemble the forecast equation and optimize forecasts.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 3 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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