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

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!!!

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).

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 really enjoyed the course up to the final project. It should be rewritten / thought through. So many issues with the project - networking / right tool / right browser. Extremely frustrating.

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.

PRO:

Content

CON

recurring technical issues (data on final assignment not available )

description of final assignment not clear / inconsistent to previous courses, no jupyter notebook provided

The videos are very short compare to exercise covered. Assignment gives overview of how much deep the coding can go but video should be elaborating few aspects of layers of matplotlib.

Again I cannot access the cognitive class ai and this has truly hindered my learning experience. I cannot open any jupyter notebooks nor can I submit any assignments, This is really bad

Me pareció super interesante el curso, pero los videos muy cortos dejando todo el material para el lab, y el final assigment con solicitudes que no fueron explicadas durante el curso.