Comentários e feedback de alunos de Data Visualization with Python da instituição IBM

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.

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.

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!

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..

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 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).

The data visualisation videos are repeating itself most of the time, but the final assignment is super hard, which many of the details were not mentioned in the courses materials - no clues to do the assignment at all..

This was a pretty sloppy course. Assist with learning before insisting that any of your students make progress with their coding. Many of the basics were overlooked, mentioned in passing, or skipped completely.

I think that more explanation about the syntax could be taught within the videos. As of now, most of the syntax is being taught within the hands-on lab practices which does not offer much explanation to it.

The assignment was way more complex than the content of the lessons. It was hard to find ways to complete the assignment correctly with the information we had at our disposal in the lessons or the labs.

Does the job of a good introduction.

Very limited and restrictive practice and assinments.

For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.

Course assessment criteria should be more robust and comprehensive. I would like to request you to improve the course contents, test criteria and programming tasks to better enhance the understandings.

The final exam is really vague and not organized. It would be a much better course if the instructor made exam in the JupyterLab like other courses. Also, the videos are not very comprehensive.

The content of the course is good. But, it was not gripping or engaging. Probably, because the instructors voice was inconsistent, modulations and variations. Overall, ok. But NOT satisfactory.

I feel like these courses could use more detailed explanations of functions and their parameters. It is one thing to learn from examples and on other to really understand how the tools work.