best I think

sucks

Some of the material was interesting but on a whole not nearly as engaging as course 1. I fully can appreciate how the principles of chart design are valuable to the subject matter covered in this series but on a whole I would have liked more focus on the technical skills and maybe had the academic perspective on design extra reading.

Also the peer grading portion of this course is a little rough. The people that graded my work were great but I don't expect them to engage my work in a very meaningful way. It's not realistic to ask them to give their full effort to grade 3 assignments for an online course that they pay for. My personal preference would have been to structure the assignments so that they could be automatically graded like in course 1.

The concept is good: introduce the theory of information visualization and introduce how to make charts with Python and matplotlib. Unfortunately the materials are deficient for the programming part. There aren't nearly enough practice exercises to help you learn matplotlib. The previous course in this specialization (intro to data science in python) by comparison has many more guided practice exercises, and I am disappointed that this course does not live up to the standard set by the first course. If you are taking the complete specialization, as I am, then I guess it's worth it and I hope the next courses in the series have more material.

s​ince i was given the course for free i dont regreat taking it. while doing the assigments i learned new things. but to be honest very little from what i learned come from the course content, as i mostly had to research everything online, and there's no usefull feedback. the first course of this especialization was much better.

The rate lectures/assignment is disappointingly low, a lot of time goes only to find data available online and to find questions to answer. In my work I have plenty of opportunity to apply data science and very little knowledge on how to. This course gave me more assignments and not so much tools.

Uses a lot of outdated python packages which is sad and a lot of people use the course to just farm certificates which is also not nice but sadly possible because there is not much monitoring or whatsoever of the people who made the course. But the rest makes for a half decent course

This course only scratches the service of the subject and asks the learner to learn almost everything by himself searching the Internet. The lecture content must be expanded significantly in order to give enough knowledge for the programming assignments.

Peer-grading is horrible. Nobody reads assignments or checks your work - they just give top grade for every category and leave "." as a comment, all to breeze through the mandatory peer grading. This certificate has very low value.

I think there there is too much time given to the esoteric of what makes plots pretty rather than the nuts and bolts of how to do it and the limitations of using Pandas and Matplotlib for real world data

I feel like I didn't learn much. Various topics are covered but quickly and superficially. The notebooks provided each week are useful. Almost all assignments are peer reviewed.

Another one of those UoM courses where you learn nothing unless you scour the internet for actual education. Makes one wonder what value UoM brings to the table...

I am not too crazy over the peer review assignments plus the course was hard to follow

Not well organized.

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T​he course content is good, but University of Michigan stopped answering questions and providing support for this classes so you can't get any of your questions answered. Also, they updated versions so I wasn't able to use any of my work for this course for my code portfolio.

I​'d recommend avoiding this course!

the course is poorly taught compared to courses i have taken in coursera

The only one message in this course is:

There is a python module called "matplotlib', please read the documentation/ google/ ask in forum/ stackoverflow yourselves.

The course does provide a good guideline on evaluate a good chart. However, as a fundamental course of introduce plot in python, I don't think the course is well structured. I can't say I learn too much from this course.

Not a good course. Most of the topics are covered superficially just to be shown as part of the syllabus with little details.

Too many jargon and all vedios is useless, he makes me feel like he is trying to show his English and Knowledge.

Ive been locked out of the course. Unable to reset my deadlines.

Hate the community evaluation process.

Peer review is not good.