Applied Plotting, Charting & Data Representation in Python

The course can be summarized as: "OK, here are some tools that can be used: now read the documentation, Stack Overflow and some papers that we give you links to". Each week there are just few videos. What I expect from a Course are baby steps and clear guidance about good practices. Of course you can learn it all from the Internet - I am taking a Course to get something I will not easily find elsewhere: a good teacher who will guide me through optimal approaches.

I don't think the tutorials walk us through what we are supposed to do. I find myself on youtube watching free tutorials on the very subjects I am paying to learn.

The grading by peers system coupled with the unlocking next week lesson is really aweful. I can't change to previous session event though I worked through the first lesson fast. Everyone has the same issue on the forum but nobody dares to reply. We get no help nor assitance from the platform. This course is purely money stealing. Run away from this course as soon as possible.

This is an interesting course, but the professor really does not spend enough time teaching the topic. It's like as if he expects that giving us a very high level overview on a subject (e.g., "These are the principles of beauty to follow when making a chart!"), followed by 1-2 very specific cases ("here's how to build a scatterplot!") is enough. We're then expected to teach ourselves in order to be able to turn in assignments. I understand that a core skill of any programmer is the capacity to search for code snippets online as well as ask questions to the community, but for an introductory course on Matplotlib, I'd expect more teaching of the subject matter.

The lectures are overloaded with too much information, and the concepts are presented in a complicated way. I wish the courses in this specialization were self sufficient. It just does not feel like I am getting proficient at any of this even though I can get the assignments done on my own. there should be ample practice exercises with the aim of burning the syntaxes and concepts to memory which is usually not the case. This eventually leads to half hearted learning where students are expected to do every thing on there own. I am disappointed. The course can be improved by going deep into the concepts and providing additional resources for students to explore.

assignments are unclear and provide few explicit resources for users less familiar with statistics. crucial topics are not discussed and we are instead told to go google them for ourselves, which i could have done without paying for a course.

Not very good instructions. The Assignments required just self learning online via other video tutorials/documentation....which defeats the purpose of taking an online course

The instructor just read a text without any interest and passion.

Cant submit for two weeks but billed monthly, this is bogus.

Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.

The course takes into account the theoretical approach when creating charts which is something I have never thought of! And I don't think you'll find instructors that will go that deep into theory instead of programming. To be honest, I don't believe that charting needs any programming skills at all, it is similar to creating front-end apps, so I think their focus (a week is dedicated for it) on the theory was a great choice.

Great course, great instructor! I think for me the more difficult was lack of simple practice tasks during course - it will much improve to understand material. Regards, and thanks!