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..

Overall, the course is informative and enjoyable. The final assignment was a bit of a pain. It was not a difficult exercise, the tools to complete the assignment do not work properly and make the assignment tedious.

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.

II think it was missing a lot in relation to Plotty and Dash, I don't understand a lot of things, and at the end I would have liked the other packages to have been touched, but it's a good course.

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

The info related to Dash by Plotly is rather complicated. There should be included more details about how the Terminal works and why graphs are not being shown on the final dashboard.

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.

I am unable to reset the timelines for this course. I missed the timeline due to an emergency and the course is now frozen and I am unable to complete it. Please unlock the course.

Great content but hard to follow at some point. Lab is very unstable. Final peer review project is not appropriate and did not use the most common data visualization techniques

I think the final project should add more difficulty and tasks. Or provide the option to choose the difficulty level base on the learner's python and data science experience.

The assessments are a little silly- the quizzes trip you up on minor syntax instead of being concept-focused, and the final assignment used some skills that weren’t taught.

1) Quite a lot of contents of the final assignment are not covered in labs/videos

2) Huge portion of videos is redundancy and repitition

3) Labs cannot be exported to HTML

The instructor provided lots of useful code, but the final assignment is unnecessarily difficult because the required code customization was not covered in the course.