Data Scientist Career Guide and Interview Preparation
IBM · View on Coursera ↗
Taught by IBM Skills Network Team
Data Science
About the course
Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data scientist position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter a
The dissent
The most-upvoted critical review (2 votes, 3.0★).
“Practice coding challenges and in-depth questions asked in a typical data science interview should be covered.”
Coursera's 4.8 comes from 421 ratings. Of those, 3.1% 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 ↗