Really interesting course covering matplotlib functionality. There is a lot of self-study required, but that's okay. Liked the demo's about Panda's and Seaborn in week 4 as well.

It's a course that is hard to be taught, because it involves a lot of human judgment in terms of aetheticism. It is good to know some examples of how to create a plot, though.

This course is very helpful before doing any machine learning course. It helps us in understanding and creating our own visualizations, insights and representations of data.

Great introductory course towards data-visualization. But one requires more learning to be better at data visualization apart from the contents provided by this course.

The course is good, but could have been much better. I really appreciate the efforts placed in this course. But I felt that some of the important concepts were missing

Assignments are pretty good, but I would suggest extracting useful info from discussion forum to the assignment page. Sometime assignments really need to be clarified.

I enjoyed this course, but the assignments are taking way more time to finish than recommended as you need to search the web for the different functions and practices.

I think there should be more guidance regarding the use of the different modules. Explanations are general, short, and important details and explanations are omitted

Some good pointers in matplotlib, covers quite a lot but goes over a range of features and tools that you can come back to.

Assignments were a bit simplistic/easy

It is a good course to learn the basics of plotting and data representation using Python, but could use more depth. I recommend it if you need somewhere to start.

Some instructions need to be updated. I needed to go to the forums to get clarify the instructions of some of the assignments. Although, everything else is good.

It was a bit difficult at first but when you start the activities, you will get to understand more of they said in the lecture! Thank you peers and mentors!

This course taught me a lot about using matplotlib but I wish that there were more assignments so that I got experience creating a wider range of graphs.

Good course, harder than I expected. I don't really like the peer review aspects but I think they are appropriate for these sort of graphical courses

Good all in all - nice material, videos and python notebook with tasks. Automated validation of data part of assignments would come handy as well.

Nice course content! Unfortunately the assignments require additional self-study that can become quite time consuming. Therefore one star less.

Could be improved. Show more detailed instructions on commonly used methods. Have to dig through documentations to find what i need to plot.

It makes you appreciate the design process involved in visualizations. The instructor introduces a wide variety of plots in an easy manner.

I learned quite a lot about plotting, especially in Python. However, there was a bit too much theory (Cairos principles etc) for my taste.

The overall content of this course is superb but I just don't like the concept of peer-reviewed submissions. That's why I remove one star

The topics cover the basic usage of matplotlib, however, it lacks more details or this course can dig a little deeper into them.

Overall, I really enjoyed the course and learned a lot. One star less, because the time it takes is much longer than indicated.

Great course and wonderful assignments. The only suggestion I have is to change the instructor as he does not teach properly.

NIce class! Class 3 Interactivity is a little bit difficult. Hope class forum can have fater response and more discussion.

Some instruction videos could be more detailed so that students can understand the subject and do the assignments better.