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Opiniones y comentarios de aprendices correspondientes a Visualización de datos por parte de Universidad de Illinois en Urbana-Champaign

1,276 calificaciones
289 reseña

Acerca del Curso

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns....

Principales reseñas

5 de abr. de 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.

16 de nov. de 2020

Very useful course. It enlightens my ways to data visualization. I knew some concepts, but in a disorganized way and not knowing how. This course fills these gaps. It is tremendously helpful.

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176 - 200 de 286 revisiones para Visualización de datos

por Kamlesh C

2 de ago. de 2020

THank you

por sandyb4u

14 de abr. de 2020

very nice

por Mouli D

20 de sep. de 2019


por zhaowen

28 de jul. de 2016


por Gabriel A D S

18 de abr. de 2020


por Hernán C V

20 de mar. de 2017


por Goya Z

15 de jun. de 2016


por Dr. S N B

17 de jun. de 2021


por Mohamed B

28 de jul. de 2017


por Xinwei L

2 de may. de 2016

so cool

por Gonzalo R

4 de oct. de 2018



26 de feb. de 2021


por 221810310038 M S S

2 de feb. de 2021



29 de ene. de 2021


por Hamreet s

29 de mar. de 2019


por Mojahid I

29 de ago. de 2016


por Anitha A

15 de jun. de 2020


por Qinjian Z

26 de mar. de 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

21 de nov. de 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

6 de ago. de 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

21 de jul. de 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

22 de feb. de 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 Vipul K

12 de oct. de 2020

It's a great stepping stone into the world of Data Visualization. A couple of things that I would have liked differently is - more elaborate assignments (seemed quite easy) and more business focus on Data Visualization then going into technical/scientific aspects (human perception was a great insight though)

por Kerux-David L N

18 de abr. de 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

22 de mar. de 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!)