This review was written after taking the other courses in the IBM Data Science certificate.

The certificate as a whole is well worth it, in my opinion, and I feel like I learned a lot about the different aspects and methods to data science, which makes the way this particular course is written all the more baffling.

I have no idea why, after weeks or even months of learning about all these different data science aspects including machine learning, SQL, and other topics, this finishing course is almost entirely centered around the FourSquare API and being forced to use location data specifically.

This course in particular needs a rethink, especially in the subject matter department. Instructions in the labs are vague, and in some cases, don't even work properly. Code is given without explanation of what it does. Only one person needs to grade your project for you to get the final grade.

By far the worst course of the entire certificate.

Covered a wide range of topics across ML, statistics, data visualization, analytics, and more. However, there was not nearly enough application-oriented aspects of this certificate. There were frequent technological errors, as well as errors in the wording of problems and inconsistencies between the lessons and the labs. All in all, I feel like I was given a high-level hint at understanding a wide range of topics, but I don't feel confident in my ability to head into a new project without basically relearning most of it. I've done other more application-oriented projects before for free.

It serves better as a review project than threading all previous courses than as a real project. Especially that the final report is just ridiculous... No one in real working situation would submit such a report: they'd upset their stakeholders.

As with every Joseph Santarcangelo course, there is good outline of what to learn, but the communication skills and expertise of the staff are highly questionable. I always end up doing more learning outside of the class than I do in.

no esta bien traducido, y el formato de enseñanza es raro. Me gustaría que sea más diná mico y muestre en video COMO aplicar en Studio Code las variables, bibliotecas y más.

It would have been better if the assignment were split on previous courses. IMHO, this course was way longer than the other courses of the specialization

One of the worst mooc ever, content outdated, lessons not real life, and absolute lack of feedback on final assignment

Long. Also has a glitch in the middle that you just have to take a bad grade on and try to work around..

LABs in this course had quite a lot of bugs which costed me a lot of time and nerves.

Massive issues with Labs not working; parts of segments too superficiel explained

Instructor should explain how to make a capstone project and what is

External services to be used do not live up to the standards.

Very basic course not upto the level of the industry

I would prefer to have a self-designed project.

Need some more guidance on Capstone

boring. cant unenroll from this course or its specialization. small data set with SpaceX barely better than writing a word game. I wanna pick and choose what I learn. dont need the capstone or all the specializations. and changing the specialziation content around is quite frustrating

The learning tool was not good, there is no information about deadlines for using the labs and other IBM tools, I believe it is a one-off problem, so I will be making a new application to do it again.

Course very difficult and unfair for my certificate considering I passed the rest of courses. Its designed to make students like me fail the certificate after a long struggle of studying.

The instructors reset the course without any prior warning whatsoever so I had to redo the entire course despite all the time and effort I put in.

worst course content instead of other IBM courses

my lab sessions and assignments are closed

IBM Watson free trail not working

very bad courxe i hate ibm really

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Vvery bad