Business Analytics with Excel: Elementary to Advanced
Johns Hopkins University · View on Coursera ↗
Taught by Joseph W. Cutrone, PhD
BusinessData Science
About the course
A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world busines
The dissent
The most-upvoted critical review (30 votes, 2.0★).
“This course starts off strong but weakens at week 2. Not enough explanation of WHY you are using certain functions and references, and the instructor needs to SLOW DOWN. Please stop trying to cram 60 minutes of lecture into 30 minutes of recording. Lastly, it would be much more helpful to include a walk through of how answers on quizzes are reached, instead of just letting you retake the quiz over and over and end up guessing the right answers in frustration.”
Coursera's 4.8 comes from 4,066 ratings. Of those, 1.3% 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 ↗