강좌 소개
최상위 리뷰
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.
데이터 시각화의 249개 리뷰 중 201~225
교육 기관: AJETUNMOBI O
•May 01, 2017
Breaks down all complexity in Data Visualisation
교육 기관: To P H
•May 03, 2019
Some interesting visualization concepts
교육 기관: Yongyi Z
•Jun 13, 2018
Learning curve is too steep in week 3.
교육 기관: Zheyan S
•Jun 17, 2016
Quite clear, good for introduction
교육 기관: Suketu B
•Jan 27, 2018
Good intro to data visualization.
교육 기관: Hyun J L
•May 31, 2017
Was fun, and informative indeed!
교육 기관: Augusto R
•Jul 07, 2019
Great course, very good format!
교육 기관: Alec J M
•Mar 10, 2017
I wish for more hands on work.
교육 기관: Liu S
•Aug 16, 2018
Maybe more practical skills.
교육 기관: Walter G
•Jul 07, 2020
Good introductory course.
교육 기관: Mark T
•Sep 23, 2017
Deep and rich content.
교육 기관: Jason M
•Jul 05, 2017
Great overview!
교육 기관: V R N M
•May 04, 2020
good knowledge
교육 기관: Yuexin ( C
•May 28, 2020
great course!
교육 기관: Klent A
•Aug 28, 2016
Great class
교육 기관: TerryTang
•Jun 08, 2016
good!
교육 기관: DORRIN U D G
•Sep 14, 2020
Good
교육 기관: Suraj P
•Jul 30, 2020
good
교육 기관: Sudhanshu R
•Jun 14, 2020
good
교육 기관: Deepak S
•Aug 02, 2016
E
교육 기관: 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.
교육 기관: 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
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
