not good, many typo in the lab instructions, many times the lab wont work out, i think this issue realy needs to be fixed.

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

I usually enjoy IBM courses, but this one is a disappointment. The labs are of poor quality and provide little value.

The course is good. However, instructions, support and details to actually help you learn and understand is useless.

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

Many bugs in the practice labs and the final assignment is a way too far from the material that has been taught.

It was a difficult course but it could've been better if there were little short quizzes during all the videos.

NOT AS GOOD AS OTHER IBM DATA SCIENCE COURSES WHEN COMES TO DETAILING AND EXPLANATION. IT IS OVER SIMPLIFIED.

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

The course content and labs are a bit light on context considering the work required in the final assignment.

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

So many boring data recap of the same table on each graph. Except Dashboard all others are waste of time

More information about Plots, charts and overall things could be provided in the videos - on the slides.

quite easy to make final assignement as almost everything was prefilled. So i didnt need to think much

Sería interesante tener un proyecto más ambicioso y que tocara más tipologías de datos para presentar.

There were some gaps between the taught material and the final assignment. Overall, I learned from it.

The labs could be more detailed, the final project was hard to finish because there was not all info

most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

It's good to cover everything in general. However, there seems to be a bit of unnecessary content.

So far this was the toughest course for me among all the courses in IBM Data Science Certification

recapping the data set in nearly every video was very repetitive and didn't add any learning value