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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
1,063 個評分
249 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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201 - 数据可视化 的 225 個評論(共 243 個)

創建者 Augusto R

Jul 07, 2019

Great course, very good format!

創建者 Alec J M

Mar 10, 2017

I wish for more hands on work.

創建者 Liu S

Aug 16, 2018

Maybe more practical skills.

創建者 Walter G

Jul 07, 2020

Good introductory course.

創建者 Mark T

Sep 23, 2017

Deep and rich content.

創建者 Jason M

Jul 05, 2017

Great overview!

創建者 V R N M

May 04, 2020

good knowledge

創建者 Yuexin ( C

May 28, 2020

great course!

創建者 Klent A

Aug 28, 2016

Great class

創建者 TerryTang

Jun 08, 2016

good!

創建者 DORRIN U D G

Sep 14, 2020

Good

創建者 Suraj P

Jul 30, 2020

good

創建者 Sudhanshu R

Jun 14, 2020

good

創建者 Deepak S

Aug 02, 2016

E

創建者 Amit S

Oct 14, 2017

The Data Visualization course gives insight of the various methods that can be used for visualizing different forms of data and also explains how data is perceived differently by human and computers. This course lacks the utilization of different data visualization tools and techniques which can be used.

In my view, different visualization techniques based on few tools and the way to use those tools should be added in this course which will make it more practical way of understanding Data Visualization.

創建者 PhilTheShill

Aug 25, 2016

I thought at times the explanations were a bit concise. If I look at the process mining course for example, a lot more video material is included (and its price is lower) with more concrete examples and practice. For non programmers it is not evident to find a solution to some of the assignments and there isn't much guidance on how to use certain tools. therefore, the time to be invested for non programmers - especially in week 3 - is far more than the hou

創建者 Vivek V

Oct 29, 2016

The course is awsome to get motivation and quite informative. However it teaches lot of practical concepts using Tableau which is a commercial software.

Since these concepts entirely new to me. It take me a lot of time to understand videos and still I'm afraid I'll forget the things as soon as I leave it. I think some more practical activities should be introduce (on free platforms), to make knowledge more sustainable.

創建者 rubens m s

Jun 11, 2017

Durante os dois trabalhos a serem entregues o auxilio a pessoas que não possuem conhecimentos prévios não é conduzido de modo razoável. É necessário que essa pessoa procure programas sozinhos, uma vez que os fornecidos são muito antigos e não possuem tutoriais nem dentro ou fora do coursera.

Entretanto o curso atendeu razoavelmente as minhas expectativas, ele é um pouco mais abrangente e superficial do que eu esperava.

創建者 Sean Q Z

Dec 06, 2016

I consider the assignment is not very useful. Network plot usually does not help much if you are researching dataset. Scatterplot, histogram can be much useful. Tableau? Sorry, can't afford it, why not excel? At least, almost anyone uses it. Not very practical one, but it does contains a lot of information in the course.

創建者 Sergio A G P

Jun 16, 2020

I expected a more advanced course. Although there were interesting points, they were treated very superficially. The last week gave principles regarding dashboards, but there is an important difference between treating dashboard principles and actually doing a dashboard.

創建者 Reinaldo L N

Apr 11, 2020

There was too little or almost no help (tutorials, etc) on tools for graph visualization prior to assignment 2. I had already done a course on graph analytics and it was too better on this.

創建者 Marco B

Feb 06, 2019

Very useful course for beginners.

Pdf of the slides not available

Low interaction with other students, mentor answering the forum a bit bizarre

創建者 Ralph B

Nov 21, 2016

I chose the "Data Mining" specialization to learn more about data mining ;-)

I'm not so interested to present data

創建者 Shithi M

Oct 17, 2018

There should have been more focus on the plotting tools. The theory portion is informative.

創建者 Qinyi L

Jan 09, 2020

Peer review is not effective at all