since 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Uses a lot of outdated python packages which is sad and a lot of people use the course to just farm certificates which is also not nice but sadly possible because there is not much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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If you are already an expert at python and data science you might enjoy this course. If, on the other hand, you would like to learn plotting in python, this is a very poorly taught course.The lectures are too fast and cover too much material before you get a chance to practice. When you do get assignments, they are ambiguously worded and expect you to research way beyond the course material before being able to do them. Very disappointing.

Disappointing. Matplotlib is built from layers of interacting functionality, and this course doesn't create a structure to understand it. Unclear and confusing. Note however that the following courses in the specialization show matplotlib code but don't necessitate writing it, so you can do them (at most auditing this course before) and only return to this course if you want a specialization certificate.

This course is absolutely terrible, and in no way self-sufficient. The professor basically tells you what can be done using matplotlib, give you a cursory example and leaves you all on your own to understand what actually happened by referring to sources such as google or stack overflow.

This course needs a serious overhaul. Assignments are very unclear and only reviewed by other students, which questions the legitimacy of this course certificate. Lectures are shallow and clearly made by very unexperienced lecturers.

Nice assignments but spent most of my time on Google rather than utilizing my notes made from the video lectures. That kinda destroys the purpose of taking an online course in the first place.

Very hard to grasp the content as the content is not well explained in the required detail, as it should have been.

A lot of technical errors to submit assignments....

Spent more time to resolve the technical issues than learning

Assignments are not clear at all.

Things covered in videos are not enough to complete course assignments.

fake reviews from coursera bots, assigment is scam too :P

Too slow grading and a very inefficient process.

Not very well done

really bad!

NOT GOOD

Overall, the course is great and definitely deserves 5-star rating.

However, it starts quite slow and in my opinion first few lectures discuss irrelevant topics, like minimalism of presentation. The problem is that a person can't grasp them without experience...

For example, several videos discuss idea of Edward Tufte. I understand that CS and mathematical statistics are the background of the instructor, but really, Tufte had only repeated well-known basics. Indeed, it was Leonardo da Vinci who first said that "simplicity is the ultimate sophistication". He was followed by Antoine de Saint Exupéry with "It seems that perfection is attained not when there is nothing more to add, but when there is nothing more to remove" and the KISS principle of Kelly Johnson of Lockheed Martin Skunk Works.

Perhaps, for the authors of the course software engineering is closer: https://wiki.archlinux.org/index.php/Arch_Linux#Principles ...