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Excel Skills for Business: Advanced

Macquarie University · View on Coursera ↗

Taught by Nicky Bull, Professor Yvonne Breyer, Assoc Prof Prashan S. M. Karunaratne

BusinessData Science

Coursera
4.7
headline rating
Starisk
3.2
Inflated

About the course

This advanced Excel course is designed for business professionals, data analysts, and financial analysts seeking to master complex spreadsheet software for data-driven decision-making. Building on foundational Excel skills, this program will transform you into a power user, enhancing your employability and positioning you ahead in a rapidly evolving digital job market. (Source: World Economic Forum 2023 Future of Jobs Report). By the end of this course, you will be able to: - Master advanced Ex

The dissent

The most-upvoted critical review (60 votes, 1.0★).

“The one star rating is not about the curriculum, it's about the instructors. I feel that they just winged this course. While the beginner and intermediate one courses were very thorough, with plenty of opportunities to practice the material, this course just skims over the concepts. The course videos can be summarized by the student watching the instructor complete his/her spreadsheet. At no point do they spend time to explain the underlying logic behind their choices and the functions they're using...which means that I end up unable to use the formulas in a different context from that of the lectures (and leads me to waste 3 hours of my life per exam trying to figure out everything on my own).”

1.0 / 5

Read the full review on Coursera ↗

Coursera's 4.7 comes from 6,298 ratings. Of those, 1.5% 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 ↗