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.

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.

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.

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.

Very perfunctory video teaching, a lot of content in the lab needs to be Googled by urself

they teach nothing but give u the code

The course videos, lab, and assignments do not really align in my opinion. I expected to learn more from the IBM's DS series.

The course material is not comprehensive enough and the final assignment is too hard for the things taught in the course.

The annotate function is not explained in the course making it very difficult, so please add more material on the same

Videos and Labs do not fully prepare me for the final assignment. The course material could certainly expand a little.

The final assignment took forever to complete as the code wouldn't run correctly. The advice given wasn't sufficient.

Audio with noise and distractions. Irrelevant quizzes, and final assignment with topics not well explored in classes.

Had to google a lot of my problems with the lab projects. Information should all be in course for projects.

it jumps too fast from python to html... it was a nightmare to understand the stucture for the dashboards

so bad everything, not enough training for the peer graded final assignment. worst module ever.

Marcello

Code labs and samples were good but lots of error in content and poorly designed assessment questions.

Assignments seem to be quite a huge jump from the course material. Otherwise pretty succinct course.