Excel Regression Models for Business Forecasting
Macquarie University · View on Coursera ↗
Taught by Assoc Prof Prashan S. M. Karunaratne
BusinessData Science
About the course
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 v
The consensus
Every one of the 20 reviews we read gave it 4★ or more. This is the most-upvoted one (2 votes).
“I never new I'd like regression, thanks to Dr Prashan! His skills in teaching is very clear and concise. The lessons are easy to follow. Perfect for beginners.”
Coursera's 4.9 comes from 112 ratings. Of those, 1.8% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗