The practical part is a little bit too confusing (containing too detailed usages of specific libraries). Video has a part many times repeated (on the initial dataframe "Canada") which makes watching it becoming more and more tedious. Tone voices inconsistently made by different people

Much time was wasted explaining unnecessary stuff (ex: 2 min recap of data in every video) and useful topics such as seaborn and advanced tools got less attention. Implementation was not even discussed in videos. Video and audio quality is not the best. Final project was good.

Not much detail is given in the lectures! The labs have many information that should be explained in more details! The final assignment is almost impossible to solve with the knowledge given in the labs and videos! My least favorite course in the IBM series so far!

The assignment is overwhelmingly difficult. I understand it is important to do online research when completing the assignment, but I hope more clues and guidance will be provided step-by-step just like other courses within this IBM Data Science Certificate scope.

I think that was the hardest IBM Data Science module I have tried until now. Level of final exercise to me was munch more difficult than lab sessions , which is not fair.

Videos do not show anything relevant, lab sessions have been good.

Some of the example plots don't follow best practices for visualization (I do appreciate that the instructors point out that pie charts are not very effective). There were many bugs in the final project that made it difficult to complete.

Pretty deficient. Everything is read out loud by a bot. Module 4 and 5 start to have certain complexity but explanations are non-existent. It makes it decent the fact that you explore a wide variety of libraries and tools.

IBM really needs to review this course from the ground up. THere are so many things that are not explained well enough. This is a very important part of the certification, so this course MUST be reviewed and improved.

This course is too long for only one week. If you want to learn well all this matter you need more time.

Besides the material of the course didn't help too much, in fact, sometimes it makes you hesitate and be wrong

A lot of the learning was left to outside sources and websites, none of the labs worked properly and overall just poorly organized module from a normally well taught professional certificate.

Interesting course that gives a good overview of the possibilities to visualize data within Python. Unfortunately there were many lab issues so that it was challenging to complete all modules.

This course contained a large amount of information. I think the course material should explain things in more detail for beginners and the staff should be more helpful in their responses.

Week 4 appears to be slapped on and the content isnt refined. Lab isnt really a lab, more of a non working coding example. Final project is... absolutely horrific and needs to be revised.

Very disappointing. Course is uneven, either too shallow or way too complicated. Final assignment, especially, is about material not detailed in the course. Many technical issues.

The firs 3 weeks we too good i really appreciate that but the fourth week were extremely bad.

The fourth week has no translation , a lot of problems on labs .

Thank_you.

It#s fascinating how the quality with each module. The final exam part 2 was a disaster. No proofreading was done and the coding style is undergraduate level at best.

I had several issues by running the platform, I was not able to complete each hand-lab. I would like you to solve that problem. The syllabus is great, though.

Exercises have a chaotic layout. Course it's self is ok, technical support is good, but compared to the previous courses this one does not hold up in quality.

The videos were very poor, and the methods given in the labs assignments did not cover some types of questions that were asked in the final assignment.

The course content is good and well covered. However, in general, I would have expected less of Matplot and more of Seaborn. Seaborn is easy to learn.

Very Irritating. Absolutely no guidance for the Assignment Questions which were not covered in the videos labs also. Wasted 3 days on the assignment

The content was good in this course but the lack of proper grammar and sentence structure in the labs made discerning the requirements difficult.

didn't enjoy it, it isn't well organized, topics need to be explained better, videos are difficult to follow. Only the labs are somewhat useful.

The videos were repetitive and the final required a lot of outside research/information since the content was not covered in the course.

The general content was good, but did not review all of the skills needed for the final exam. That made the final very frustrating.