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

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

I would recommend that there should be more contents in the lecture videos and the lab sessions. It would be good to have more practical tutoring on the code. for example, in the lab it only mentioned how to do annotation on an ungrouped bar chart, but the assignment requires to annotate on a group bar chart, which is hard when i just followed the lab steps, and i ended up doing hours of searching, alghough it's a helpful process. So it will be good if the course can add more details on different methods of using the libraries that were covered.

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.

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

Disappointed with this module. The Labs would not execute and had issues. Throughout the course there is a request to advise of errors (including spelling errors) or problems in the modules or content. I don't understand how entire Labs cannot execute, due to the starting cells not running. I logged a few issues (that other participants encountered too, backing up my issues) and had responses after a few days saying there were "fixes", but you had to run x/y code ..... This still proved difficult. I think the fundamentals definitely need addressing (modules/labs that run). The videos (teaching) are very good however. Thank you.

A lot of the code in the jupyter notebooks wasn't explained in detail

too basic

The course is nice, but there are several issues that could be easily solved:

Some of the notebooks on JupyterLab were not working (e.g. "exploratory...").

On the final assignment page there were some bugs regarding the upload (i.e. question 3)

The videos in week 5 were too condensed and resulted hard to follow.

Labs are very difficult and hard to follow. There is a big gap between what we learn from the videos and what we are asked to do in the Labs.

This really isn't a class, it's a lab, and that would be fine, but we have to watch a few one-two minute videos that should not exist - they are meaningless and waste of time and just end up saying - make sure to do the lap. Delete the short videos and just say - do the lab. The content of the class is very simple, which is fine, and this is one of the classes that doesn't create a very difficult exercise as a test (yea!). Although I will say for me, it took me hours to figure out the box plot, the little no-line nuances, etc. I don't know if was easy and I just could not find the right commands and parameters. All in all not a bad class - because WOWOWOWOIEE - I had no idea making stunning maps was so easy.

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

The part of using the artist layer is a little ambiguous. Now after I finished the course I don't feel that I know clearly the difference between using the artist layer or using the scripting layer. In both cases we use plot function of a dataframe.

I think dedicating a week or more to discuss the actual functions and the way of using the matplotlib library may be better than previewing more visualization options like waffle chart and word cloud.

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

Instruction to prepare for the final project was insufficient.

Videos and Labs do not fully prepare me for the final assignment. The course material could certainly expand a little.

There was no course material teaching us how to do one of the tasks for final assignment

No Instructors helping out. Little is learned... Not worth taking.

more examples in the lab for the most popular chart types is appreciated.

Needs better and more elaborate explanation. It's too tough to understand and execute.Thanks!

The final project was way difficult. Which is fine, difficult is fine, as long as the knowledge on how to solve it is provided by you in the lecture notes\videos\lab sessions. I mean that is your job right?

Videos are so so, the same introduction for all videos with 2 minutes of data formatting, which is exactly the same in all videos, leaving only few minutes at the end of the vid's for the content of the lesson. The examples in Jupyter were interesting but not very well structured. At the end, I better used Google and Pandas documentation to solve problems and learn about the topic. Not a bad lesson, but there are just more effective way to learn in my opinion.