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.

I​I 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

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.

Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.

The lab excercises are too time-consuming, for reasons unrelated to the course material. I found it hard to simply run the programs in the development environment

T​he final project needs some review and updating. It was a frustrating couple of hours to try and get it working. I finally got it half way working and gave up.

The course starts out great with some insight into Matplotlib but gets very hung-up on Cognos and Dash and approaches something similar to Java web development.

The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.

Overall a good review over the different graphs, yet the course feels wonky in the flow of this courses covering stuff already studied and staying on surface.

week 4 - no outtput received in dashboard in new window plus only errors received in jupyter notebbok even after copy paste of solution in entire week 4 labs

Final Assignment covers many aspects that weren't explained in the classes. Meanwhile, every video repeats the same data management segment over an over.

Some of the content tested in the assignment is not covered by the lessons, staff is not fast and helpful in answering questions from students