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Capstone Project: Applying Business Analysis Skills

IBM · View on Coursera ↗

Taught by IBM Skills Network Team, Ramanujam Srinivasan

BusinessData Science

Coursera
3.4
headline rating
Starisk
2.4
Padded
Small sample. Only 10 reviews were readable, so this score is a hint, not a verdict. Every other course page reads about 20 of the most-helpful reviews.

About the course

Elevate your career prospects with this capstone project, designed to help you showcase job-ready business analysis skills applied to a real-world inspired scenario. This hands-on experience allows you to apply business analysis concepts and techniques through a case study, Enhancing Operational Efficiency in a Multi-Specialty Hospital. While working on this project, you’ll apply key business analysis skills, including requirements gathering, stakeholder analysis, project management, process mo

The dissent

The most-upvoted critical review (1 vote, 2.0★).

“While the course content and labs were great, the AI grading for the final project was inconsistent and did not appear to evaluate submissions accurately. On my first submission, the AI grader clearly identified which sections were correct and which required improvement. For my second submission, I revised only the sections flagged for improvement and left the sections marked as correct unchanged. However, after resubmitting, the AI grader marked several sections that were previously identified as correct as incorrect, despite no changes being made to those sections. I contacted Coursera and consulted the AI Tutor for clarification, but unfortunately, I did not receive a response or resolution. Overall, the course content and assignments were very strong, engaging, in‑depth, and effective in reinforcing concepts from earlier courses in the specialization. However, navigating the inconsistent AI grading process was frustrating and stressful, which detracted from an otherwise good learning experience.”

2.0 / 5

Read the full review on Coursera ↗

Coursera's 3.4 comes from 31 ratings. Of those, 38.7% 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 ↗