Good content to know. Fair but not great in terms of presentation. Many videos repeated how to prep the data frame so you end up watching the same 2 minutes several times. Also a lot of the things you had to know you had to figure out on your own versus finding it in the material presented.

Still good overall but not as well designed as previous courses in the IBM data science certificate track. The final assignment is MUCH more difficult than any content in the labs and harder than previous final assignments, which isn't necessarily bad but it's inconsistent and unexpected.

Covers a lot of ground. Dashboarding section could probably be a class by itself. Part 1 of final project was grueling, needs a better dataset and rethinking about what the visualizations are supposed to portray. Part 2 (the dashboarding part) was challenging but ultimately rewarding.

I didn't completely understood the labs and where some lines of code came from. Also, I felt that we don't get enough directions to complete the final assignment, not even which notebook to use. This has been by far the most difficult course of this training in my opinion.

Great course except of the final assignment being based on a deprecated or soon to be deprecated version of Folium Choropleth implementation. Please review that part as it could be very confusing to students that do not use cognitive class as their development environment.

The curriculum is fine. The questions and assignments are not. Way too many errors and contradictions. Final assignment questions were extremely unclear, indluding asking that we proved that interactivity was functioning by submitting screenshots, etc. Really needs work.

The material of this course is precious, however, the explanation given in Week 5 regarding Dash are too superficial. They should have added a video explaining carefully how the Dash interface works, since it may be really confusing for us who only used Jupyter Notebook.

Since students weren't able to submit code, this made it extremely difficult to answer the final project (which I couldn't figure out how to finish). Getting feed back on how to correctly code the answers is more important than showing a screenshot of the final product.

Need more clarity and practice for this course. This course seems the toughest as it asks for memorizing artistic layer syntax which seems so difficult coupled with the humongous choropleth map!

A huge amount of practice is needed for this certificate even after labs!

Course is good overall and have many useful labs. But final peer-graded submission is written extremely ambiguous. When I graded the others, I found that everyone did different screenshots, so it means that it was not demanded clearly what screenshots are required

The pace is too fast and the content is unclear from the middle of Week 3 to the completion of the course. Many ambiguous directions. Many of the codes would have to be ignored since they would not be explained why they had been used and how to utilize them later.

The instruction is okay. It should have more details. The labs are good for practice, except the final which is not clear instruction. Also the instruction for submitting result is not clear and the page is poor designed (text lines and boxed are not aligned).

Good approach to basic concepts of Matplotlib and other tools to visualize data with Python, but the assignment and final evaluation require much more knowledge than those taught during the course and, eventually you spend more time googling concepts on websites.

The information was valuable and generally well explained. The final was a massive failure; the classes and examples prepare us for maybe half of the questions, but all the questions depend on building off each other. The only way to pass is to Google for hours.

I had many issues when people marked my final assingment. Maybe the indications should be clarified. For example some people didn't gave me the points for not showing the dataframe with the rows in the same order, although all the rows were respectively correct.

not too practical over the course, a lot of theory based which is great as well. But I personally not a big fan of the Watson studio as it's not user friendly. I have to go through a lot of layer on their site before getting to the studio or the notebook.

Not much on videos, I could find the info in the labs in other courses. It took me very long time to submit my assessment, I had to buy another course to get back on track here. I was demotivated. This course was the least satistfactory among all..

THE FINAL ASSIGNMENT WILL NOT WORK. PERIOD. NOBODY ANSWERS ANYTHING IN THE DISCUSSIONS. THE CODE THAT IS GIVEN IS FULL OF SCRIPTING ERRORS. AND NOBODY CAN GET JUPYTER CONFIG TO FREAKING CONNECT.

PLEASE FIX THE FINAL ASSIGNMENT SO THAT IT WORKS!!!

A lot of good information to be gotten here, but it kind of falls apart with the final assignment and exam. A lot of the course material was poorly written. The staff are definitely customer service reps, not technical specialists (as always).

Topics were interesting, but the amount of new code being explained dramatically decreased. Also the final assignment was nightmare-ish as I was often forced to make code that wasn’t discussed in the previous videos and labs.

Overall frustrating

The final project was overly difficult. I spent 3 weeks on it! 3 weeks! I kept trying it in different environments, including Google Colab, as some suggested. It would not function at all in JupyterLabs, so don't waste your time. Use Theia!

The course is good but the final assignment is quite tough for someone who is learning this for the first time. One better way to approach this course is to break down the codes line by line which makes the learner to pick up quickly.

The Course Was Perfect And Was The Lab.The only thing that was so annoying was intructor just give a brief introduction and left the topic with lot of confusion.Lab was annoying to it was very hard to open and was giving so mcuh error

The course would require revision to introduce the concepts in a simplified matter with different data sets. I also believe a lot of the detailed concepts are left for the course takers to explore to fully comprehend the material.

Need more concepts to be discussed for modifying charts using artist layers. 25% final assignment was based on artist layer, but the different options of artist layer are not explained like ax.spines 'top' .set_visible(false).