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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
850 calificaciones
197 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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151 - 175 de 192 revisiones para Visualización de datos

por Shravan

Jun 28, 2017

It should have more assignment and handson, It should also teach how to use any visualization tool for doing assignment.

por Jason M H

Nov 05, 2016

the third week requires learning a software package.

por Zheyan S

Jun 17, 2016

Quite clear, good for introduction

por Sean M

May 14, 2018

I liked the 'harder' science aspect of the course and how it went beyond basic design considerations. Maybe a little challenging for novices with visualization, but good deep dive for people who want more theory and visualization science.

por 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.

por Jason M

Jul 05, 2017

Great overview!

por Gary C

Jun 08, 2017

A solid review of core concepts in data visualization. Good inspiration for further, more in-depth learning.

por Suketu B

Jan 27, 2018

Good intro to data visualization.

por Mark T

Sep 23, 2017

Deep and rich content.

por Kofi A

May 29, 2017

This very interesting course have sharpened my ability to read and interpret graphs in general and more importantly to pay more attention to every little details.

por Liu S

Aug 16, 2018

Maybe more practical skills.

por To P H

May 03, 2019

Some interesting visualization concepts

por Augusto R

Jul 07, 2019

Great course, very good format!

por Isaac S R

May 25, 2019

Helpful course. It provides some useful visualization strategies and a few techniques in an understandable format.

por Vik V

Jul 18, 2019

Good high level course that covers many of the basics. Not a lot of practical (though the course does state that up front). 4 out of 5 only because it felt like the last lecture felt like it was trying to shoehorn in a ton of new concepts without really fleshing them out.

por 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.

por 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.

por Alexander S

Sep 13, 2019

You get broad overview about Data Visualization.

Therefor the depth of the course isn't to high.

Please provide additional information upfront, which tools are recommended to pass this course.

Some peer reviewers do not grade according to the guidelines.

por 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

por Thành N

Sep 18, 2016

It's not necessary for me

por 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.

por Elio X R C

May 05, 2018

I think that is very basic.

por Renjie L

Aug 02, 2016

有点水

por 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

por zshowing

Nov 06, 2017

Not much in it.