Machine Learning with Apache Spark
IBM · View on Coursera ↗
Taught by IBM Skills Network Team
Information TechnologyData Science
About the course
Explore the exciting world of machine learning with this IBM course. Start by learning ML fundamentals before unlocking the power of Apache Spark to build and deploy ML models for data engineering applications. Dive into supervised and unsupervised learning techniques and discover the revolutionary possibilities of Generative AI through instructional readings and videos. Gain hands-on experience with Spark structured streaming, develop an understanding of data engineering and ML pipelines, an
The dissent
The most-upvoted critical review (6 votes, 1.0★).
“The final project grading system is bad. Even you follow all the steps accordingly, you might not be able to find the same coefficients as required.”
Coursera's 4.5 comes from 116 ratings. Of those, 6.0% 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 ↗