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學生對 伊利诺伊大学香槟分校 提供的 数据可视化 的評價和反饋

4.5
956 個評分
224 條評論

課程概述

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....

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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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126 - 数据可视化 的 150 個評論(共 218 個)

創建者 Muhammad Z H

Sep 27, 2019

learnt alot

創建者 熊志标

Jul 31, 2019

Very Thanks

創建者 Morla M S

Feb 25, 2019

Good course

創建者 Srijan G

Nov 19, 2018

nice course

創建者 Birendra S

Sep 22, 2018

nide course

創建者 Rajarshee D

Jul 09, 2016

Fantastic !

創建者 reza p

Oct 03, 2019

so usefull

創建者 Павлов Ю А

Apr 17, 2019

COoOooOOoL

創建者 sandyb4u

Apr 14, 2020

very nice

創建者 mouli d

Sep 20, 2019

excellent

創建者 zhaowen

Jul 28, 2016

入门课程,比较简单

創建者 Gabriel A D S

Apr 18, 2020

Amazing!

創建者 Hernan C V

Mar 20, 2017

Awesome!

創建者 Goya Z

Jun 15, 2016

真的能学到东西。

創建者 Mohamed B

Jul 29, 2017

amazing

創建者 Xinwei L

May 02, 2016

so cool

創建者 Gonzalo R

Oct 05, 2018

Great

創建者 Hamreet s

Mar 29, 2019

nice

創建者 Mojahid I

Aug 29, 2016

Cool

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.