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

4.5
829 calificaciones
191 revisiones

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 revisiones

MK

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.

JM

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.

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51 - 75 de 186 revisiones para Visualización de datos

por Jose A E H

Aug 12, 2016

Carefully designed to provide an overview of data visualization concepts which are important for any data scientist.

por Nalini A

Jun 28, 2017

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.

por Heidi A W

Sep 13, 2017

I enjoyed the content.

por Juan M

Jun 02, 2016

Awesomely worth studying!

por bobblogger@gmail.com

Aug 01, 2016

Excellent Course!

por Fernando M

Aug 02, 2016

Very good course ! interesting aproach from the human vision and cognitive system to the differents ways of displaying data

por Chilam Y

Jun 19, 2016

收获好大!前段时间因为毕设拖了会儿,现在重新补起来,感觉干货满满啊

por Shrishty C

Jun 30, 2017

I like the peer graded assignments. And the course is very informative. Learnt a lot.

por Hafidz J L

May 05, 2018

This course give me framework of thinking about how to create proper visualization. Very recommended for you who want to understand the visualization thinking, but does not has so much time to read related books.

por Miguel R

Jun 09, 2017

Well discussed and well organized! Awesome course, it opens up a lot of possibilities in presentation of data!

por Stewart

Feb 11, 2017

A very enjoyable course.

por Rui S

Sep 23, 2016

I really enjoyed this course. It gives very insights on useful knowledge, and opens the door to dig deeper into more specific knowledge, but is also possible to understand the concepts and succeed on the assignments without deep previous knowledge on programming or linear algebra.

por LUIZ C C G

Mar 06, 2018

Very informative and well structured!

por 张舒沁

Jun 01, 2016

Thank Coursera very much for providing such a good course. Also thank for the teacher from Illinois.

por Mohamed B

Jul 29, 2017

amazing

por Ziyue L

Oct 04, 2016

内容还是少了点,但是总体还是很不错的。

por Arpit S

Aug 04, 2017

this is my first course from coursera and its very experance after taken this course

i an very bringnner this course help me lot to take further path towords the data science and data mining

thanks sir

por Carla F M

Jul 28, 2017

I found the course very interesting and well explained

por Dandan W

Sep 02, 2016

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

por Ehtesham C

Oct 11, 2016

My understanding is improving. Thanks to Professor Kart

por Trang T L

Jan 26, 2017

Professor has a soft, easy to follow teaching style but the course structure has several pitfalls:

It gets too theoretical in week 3 and 4 and you really don't need complex algebra or statistics to pass the course but it'd be hard to understand the core matters without them. Week 4's assignment is only a quiz and I think there should have been a project to really test student's ability to apply the learned materials in real situations. Besides, you don't need programming skill to complete the assignments, but it takes a lot of time to learn free, ready-made datavis tools and they are too limited to deliver the outcomes we want.

I think if anyone is serious about learning data visualization, you can't get away with not knowing programming and statistics and those two should be prerequisites.

por 张吉业

Feb 07, 2017

Let me deal with data in a new way.

por Hariharan R

May 06, 2017

Amazingly informative and instructive course. Recommended for beginners, but much highly recommended for people who are already conceptually aware of these things/who're in the line of application of these concepts but need a firmer grasp on the theory and concepts behind depicting data points through a visualization to better architect their implementations. I am one of the latter category, and I've found this course extremely useful in aligning my thoughts and tasks in the right direction :)

por Mojahid I

Aug 29, 2016

Cool

por wei d

Nov 07, 2016

The visualization can give you a general overview of data visualization. It opens an door for the data processing.