Advanced Business Analytics: Excel Optimization & Simulation
Johns Hopkins University · View on Coursera ↗
Taught by Joseph W. Cutrone, PhD
BusinessData Science
About the course
This course equips learners with advanced skills in building and analyzing models using Excel to solve real-world business problems. Participants will learn to optimize decision-making processes using Solver, conduct sensitivity analysis to refine model outcomes, and apply advanced integer programming techniques to tackle complex scenarios. The course also covers sophisticated methods for solving assignment and transportation problems and introduces simulation techniques to analyze uncertainty a
The consensus
Every one of the 20 reviews we read gave it 4★ or more. This is the most-upvoted one (2 votes).
“An in depth coverage of the study material by the instructor. Revise the first course as you progress to this course. The fist course is integrated within this course itself.”
Coursera's 4.9 comes from 54 ratings. Of those, 0.0% 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 ↗