This course is ok. Not too challenging and not too easy. It definitely needs an update. Things have changed over the last couple of years and it appears that the course developers have not made an update since 2018. WIth a refresh this course will be a 5 star course for sure.

This course leaves a lot to be desired, the IBM user interface for me is not beginner friendly and the SQL part is to me problematic. the DB2 is not a freeware and some student have to use the altaernatives such as MS Server, which is rather a hassle.

Labs could be improved verifying all the commands work well. Videos could be improved make them more informative as in other Data Science courses part of the Specialization. Many things are left to the labs without sufficient previous explanation.

The challenges presented have been really good however I'd reccomend that the prceding modules be evaluated for the changes that have come in over the years,maybe lay more emphasis on 'what is used more frequently' in a real life situation !!

It was a great course. I have learn a lot of things. Though, Some module was hard to understand particularly machine learning with python. Besically i was beginner of data science field that's why I feel so hard in machine learning module.

This course was extremely difficult and it took me the longest. There were errors in the lab so I could not finish any of the labs, but I had asked for help and the response for help was very poor for the lab or for the assignment.

It is good because you get to know many tools to get data and it has very good examples of how a project should look, but i think this is a project that must not be reviewed by other students, so we get useful feedback.

To use the Watson platform is a headache, the account starts to ask for a credit card and I am just paying once.

It would be very good to start using a jupyter notebook from scratch.

The rest is fine.

Spent a lot of time getting the used IBM Cloud system components up and running. Partially redundant content (due to course overlap). The effort-to-benefit ratio of this course is questionable.

Very challenging. A lot of the things you have to do in the final project are things you must figure out on your own, since they're not explained in any previous lessons.

A challenging Capstone project with many dimensions. The structure of the previous courses in the certification could have been improved to build up to this project.

This course is about applying what you learn on a free form project.. but you should use Foursquare API which it might be challenging little bit to deal with..

There are some errors in the instructions labs, in forums is the way you can get help, but it it necessary to modify the code in the examples.

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.

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.