Apr 06, 2018
Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.
Jun 04, 2016
I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.
por Goya Z•
Jun 15, 2016
por Mohamed B•
Jul 29, 2017
por Xinwei L•
May 02, 2016
por Gonzalo R•
Oct 05, 2018
por Hamreet s•
Mar 29, 2019
por Mojahid I•
Aug 29, 2016
por Anitha A•
Jun 15, 2020
por Qinjian Z•
Mar 26, 2020
The course is very helpful for me to learn the concepts and theories behind the data visualization, combining with 2 interesting and relevant assignments to enchance the learning experience.
One thing I found difficult was the instructions in Assignment 2 for non-programmer to perform data visualization, the software might not be available due to the reform of the website, I wish the professor could update the information.
por Cem A•
Nov 21, 2016
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.
por Rob W•
Aug 06, 2019
Good course overal.
There is quite a mix of high level and very low level detail - e.g how humans percieve data in visuals (interesting and useful) but not down in the detail - other sections on of planar and non-planar graphs and buliding out matrix with signficant detail.
The quizzes and assignments are well balanced between the detail and the high level area.
por Douglas M M•
Jul 21, 2019
The course helps us students understand the basics of Data Visualization. It provides additional materials if you want to study more, but I feel it was necessary to provide examples or tutorials to get started with some of the tools necessary to complete the assignments. Less tech savvy students may have problems with this part.
por Klas S•
Feb 22, 2018
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.
por Kerux-David L N•
Apr 18, 2017
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.
por Muhammad A I•
Mar 22, 2018
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!)
por Marie C•
Feb 02, 2020
When saying that we do not need to be able to program, I feel we should get additionnal ressources, especially for assignment two.. as it was very hard to parse the data provided due to the large number. Maybe it would then be beneficial to provide smaller set of data for the network graph.
por Diana C G R•
Jul 23, 2016
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.
May 20, 2018
give us big picture of visualizations and share lots of practical skills. also cover some mechanisms of why visualization through introducing human visual perception system. However, the tool in this course is mainly the tableu which is a business software that is not free.
por Vik V•
Jul 18, 2019
Good high level course that covers many of the basics. Not a lot of practical (though the course does state that up front). 4 out of 5 only because it felt like the last lecture felt like it was trying to shoehorn in a ton of new concepts without really fleshing them out.
por Alexander S•
Sep 13, 2019
You get broad overview about Data Visualization.
Therefor the depth of the course isn't to high.
Please provide additional information upfront, which tools are recommended to pass this course.
Some peer reviewers do not grade according to the guidelines.
por Dmitry S•
Dec 10, 2016
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.
por Sean M•
May 14, 2018
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.
por Devender B•
Jan 28, 2019
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
por Kurt R•
Nov 05, 2016
This course was excellent. It provided not only an overview of what data visualisation is but it also proved to be sufficiently challenging regarding the assignments and quizzes. This was truly a university course.
por Gary D•
Jun 02, 2017
A fairly interesting course with a good instructor. The course gave me a chance to play with my visualization tools in order to expand my usage rather than being in a rush to complete my tasks.
por Vaidhyanathan C•
Apr 27, 2020
I enjoyed a great deal of this course. However, I felt that the course could be improved by adding in a few programming implementations of visualization. Thank you for teaching this subject!