This course allows learners to explore Regression Models in order to utilise these models for business forecasting. Unlike Time Series Models, Regression Models are causal models, where we identify certain variables in our business that influence other variables. Regressions model this causality, and then we can use these models in order to forecast, and then plan for our business' needs. We will explore simple regression models, multiple regression models, dummy variable regressions, seasonal variable regressions, as well as autoregressions. Each of these are different forms of regression models, tailored to unique business scenarios, in order to forecast and generate business intelligence for organisations.
This course is part of the Excel Skills for Business Forecasting Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Microsoft Excel
- Business Forecasting
- regression models
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Syllabus - What you will learn from this course
Welcome and Critical Information
Regression Models
Multiple Variable Regression
Dummy Variable Regression
Seasonal Dummy Regression
Reviews
- 5 stars92.18%
- 4 stars6.25%
- 2 stars1.56%
TOP REVIEWS FROM EXCEL REGRESSION MODELS FOR BUSINESS FORECASTING
I think this is one of the best online course you can take. Awesome.
The lecturer did great demonstrating how equation looks like on business application.
A step-by-step guide for business forecasting! Very easy to follow and the course brush up my statistics on linear regression as well.
The lecturer is very good at explaining, the materials cover all needed aspects. Thank you.
About the Excel Skills for Business Forecasting Specialization

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