Excel Time Series Models for Business Forecasting
Macquarie University · View on Coursera ↗
Taught by Assoc Prof Prashan S. M. Karunaratne
BusinessData Science
About the course
This course explores different time series business forecasting methods. The course covers a variety of business forecasting methods for different types of components present in time series data — level, trending, and seasonal. We will learn about the theoretical methods and apply these methods to business data using Microsoft Excel. These forecasting methods will be programmed into Microsoft Excel, displayed graphically, and we will optimise these models to produce accurate forecasts. We will c
The consensus
Every one of the 20 reviews we read gave it 4★ or more. This is the most-upvoted one (7 votes).
“I used to have a lot of fear when studying statistics and have encountered so many failures in learning statistics. However, I kept on learning and signing up for this course, to my amazement, Dr Prashan taught the course with so much ease and he made me felt like he is sitting right next to me and going through with me with a tone like a older uncle who just tell me exactly what I need to know. I take this course one whole Saturday i and I learned so much and so confident that I can do real useful time-serie for business forecasting. I want to thank Dr Prashan for his time and dedication and make a hard subject so easy so I can finally nail the subject. I know the course was meant not to be very academically comprehensive rather it is a useful no-nonsense and get-to-the-point course yet it gave me so much fundamentals and confidence I already sign-up and complete other more advanced courses. I wish Dr Prashan all the best and thank you for his work and I just imagine how many students like me who have learned so much thanks to his wonderful teaching. Everyone says WOW”
Coursera's 4.9 comes from 255 ratings. Of those, 0.8% 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 ↗