Very Thanks

The course introduces one to more parameters and considerations to account for when building data visualizations than they would probably imagine. From human perception of visuals to 2-D and 3-D rendering to ideal plots for different series of data, the course covers a lot of ground and introduces some very interesting concepts. The programming assignments don't really require programming knowledge if you are able to generate graphs using off the shelf tools. One thing to keep in mind is that although the course suggests you can build a web site or page with your visualizations if desired, the assignment submissions do not allow for the submission of a URL link to a website or a page. Links can however be embedded into additional comments associated with the submission.

Great Learning

very interesting and useful information. A bit challenging for me to use the tools as I was not familiar with the software

COoOooOOoL

some assignments are boring. but in general, its good

Human visual perception and cognition, design and color usage are the new things which I learnt are very useful for applying the skills in real life. I wish there is one module for training on an open source visualization tool

Maybe more practical skills.

I like the course because it helps you make visualizations of different types of data by using very simple tools based on rich algorithms. I understand the fundamental concepts to discover patterns and relevant information from the data, applying some design rules in the software.

A lecture video is missing, it seems like months since it's been like this. Please FIx It!

The theory and the content was amazing and well thought. I just wish some walkthroughs were provided for easily getting started with visualization software... I as a non-developer found it extremely difficult to hack my way around new tools and software within the tight deadlines (and I wasn't alone!)

Great class

Deep and rich content.

It's an intro course, so no qualms about that aside from that I missed having some intro d3.js assignments (that could be fully automated).

The peer review system is unfortunately the weakest point of this. I got decent enough grades mind you, but it's sensitive to fluctuations in enrollment in a way that makes me weary.

This very interesting course have sharpened my ability to read and interpret graphs in general and more importantly to pay more attention to every little details.

the third week requires learning a software package.

A solid review of core concepts in data visualization. Good inspiration for further, more in-depth learning.

Learning curve is too steep in week 3.

I think the course is nice in general but I have one comment. I think there is too much information in the course videos and sometimes it is really hard to follow the video if you want to take notes. It would have been much better if the instructor gave some time between the slides for the watchers to digest. He doesn't have to stop but he could slowly go through a set of examples, even 30-60 secs would help.

Interesting course, but too much theoretical data without providing sufficient practical tasks to remember it better.

In other courses they used to have mini quizzes embedded into videos. They are usually very helpful, but here we got none of them.

Quite clear, good for introduction

Breaks down all complexity in Data Visualisation

I liked the 'harder' science aspect of the course and how it went beyond basic design considerations. Maybe a little challenging for novices with visualization, but good deep dive for people who want more theory and visualization science.

Was fun, and informative indeed!

It is worth the cost and effort, but ... four weeks did not provide enough time for the instructor to really demonstrate techniques for achieving the kind of results that are shown. The cost is low compared to other delivery mechanisms, but high compared to other, longer, more detailed, Coursera courses.