The final project is way too over the top for this type of course. I've been asked to do less work in graduate level courses.

Good practical lesson. However the learning curve is too steep compare to the other courses in this certificate.

Great capstone project. But forced to do the same project. It would be better to get more choices of projects.

Inconsistent, didn't teach SQL yet the final project had an entire section dedicated to SQL queries.

good course until the last week where there were too many competitive non-intellectual tasks

I didn't like that we had to use Foursquare — I could not come up with anything interesting.

The difficulty could be increased and the scope of topics covered could be wider.

I do not find the certificate although I have completed this course.

The instructor of the capstone saved this specialization for me.

I did not find the project relevant to the rest of the course

It is difficult. I will like more support from the teachers.

Expectations of final presentation are not quite clear.

Broken links in samples and csv data files.

Instruction is not clear here and there.

Didnt complete the project, Un enrolling

Not really elaborate for a capstone.

Long time check of the submissions.

some lab codes cannot run smoothly

very vague with the information

It is good for beginners.

Hardness Level High

really difficult

no

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.