Statistical Analysis Fundamentals using Excel
IBM · View on Coursera ↗
Taught by Murtaza Haider, IBM Skills Network Team
Information TechnologyData Science
About the course
This course is aimed at familiarizing Data and Business professionals with the basic concepts of statistical analysis and methods used for data-driven decision-making. After completing this course, you will be able to apply descriptive and inferential analysis methods, use data visualization methods to communicate data, apply concepts of probability in real-life scenarios, and apply regression techniques to predict trends. The course takes a hands-on approach to statistical analysis using Mic
The dissent
The most-upvoted critical review (2 votes, 3.0★).
“This course felt clunky. The concepts, which were really big ones for statistics and analysis, were covered quickly, really without good explanations - but were tested in detail. I think the material covered was thin in places and really only focused on the excel functions to use. The only reason I passed this course without struggle was my classes during my masters program. After grading the other final projects, I think this rating is right on. Most people failed the projects I graded. It feels like this class needs a content review.”
Coursera's 4.6 comes from 157 ratings. Of those, 3.8% 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 ↗