學生對 IBM 提供的 Data Visualization with Python 的評價和反饋

What a cool stuff! This really motivates me to learn Python!

Enormous amount of information, I personally cannot retain of that. It will be the best to review occasionally.

This course was fun, interesting and challenging. The final assessment was a true challenge because it require a combination of materials that were covered in the course, but also required a bit of additional information and expertise as well. Finishing those assignments gave me much more confidence in my ability to perform these kinds of assignments in real engagements and assignments.

Labs in this course are excellent, no errors in the course content. The best of the specialization so far.

A very nice and detailed course (labs of course) for the entry level python data visualization

Nice concepts. real need of this course for every data scientist.

nice.

Very good course but labs contained many typos which were sometimes confusing

Nice course. But Seaborn examples could have been more helpful. Also, please use Python 3 for examples. Thanks for the video and more better class labs.

A good overview of different visualization methods in Python. The final assignment is a little tricky and requires a diverse set of Python skills.

The materials are OK, the labs are really helpful, but the test-related data files that needed are hard to get. In fact, some of the csvs required to complete the test are out of time, and students can only get the data through the forum, that's a pity.

This was the most challenging course thus far in the IBM Data Science concentration. The quizzes are as simple as the earlier courses but the final programming assignment is much less cookie cutter and required substantial reading of the matplotlib API. As a result I think it took longer and I learned more than in previous courses.

This course was thorough. However, we could have been prepared better for the final assignment. I had to rely on the internet a lot to complete it. I don't know if that was intentional. If it was, then it should have been stated explicitly. Otherwise, well done and thank you!

more explanation on functions' and methods' parameters needed

assignments are using too many techniques which tutorial videos are not included

Really helpful, but some of the more complex topics are glossed over and require extra reading.

Good, but maybe the course focus too much on Folium and not enough on Seaborn.

All the course is good except the final assignment

feel confuse in the homework

The videos are nice and clear, the visualizations are beautiful, and I'm sure that all of the libraries presented are extremely useful. But this course is not well-suited to students who have no prior background in Python before taking the Applied Data Science specialization. I look forward to coming back and maybe having a shot at understanding the code in the labs after I take a Python programming course. The long chunks of code presented here are mostly opaque if all you have are the previous courses in this specialization.

The information provided was straightforward and easy to understand. However, the final lab requires extended knowledge that is not covered in the videos.

most interesting course in the IBM python series

It would be good to make another section only for seaborn or bokeh

Quite an extensive course - as a beginner it went a bit over my head at times. The Assignments were challenging and the final one was a bit dissapointing - not all the elements were covered in the labs so had to trawl the internet looking for answers. Learned alot though

Assignment has been frustrating