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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
859 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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176 - 193 de 193 revisiones para Visualización de datos

por Renjie L

Aug 02, 2016

有点水

por Thành N

Sep 18, 2016

It's not necessary for me

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 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.

por kaviraj

Jul 02, 2018

Nice course

por Vishnu N S

Jul 15, 2019

Very Shallow

por Philip V N

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

por zshowing

Nov 06, 2017

Not much in it.

por Lei Z

Dec 30, 2016

too theoretical without enough practical quiz and assignment

por Jennifer K

Mar 27, 2017

Outdated materials, theory is taught and then praxis is tested. Course needs an update to materials and either teach AND test theory, or teach AND test praxis. I passed this class by switching sessions multiple times in order to use the time to learn the practical skills in data visualization I needed to pass the tests.

Additionally, the presented materials and the lecture format are very uninspiring.

por Marcus M F T

Jul 26, 2017

Very generic ideas, not sure if worth it.

por Hanxiong S

Jun 06, 2018

The course material is inherently interesting, but the videos are not very engaging. The presentation is quite monotonous and the wording / phrasing is confusing to follow. I'd suggest preparing a new set of script that explains the concepts and clarifies the details while cutting out *very* generic pronouns like "this node" or "that thing" or vague acronyms

por Deleted A

Aug 05, 2017

This is not very informational whatsoever. After some sifting, I did not find this course to be useful. I would rather complete a formal course on the topic at the university itself.

por Renato M

Oct 23, 2016

Starting it now.

por Alexandra C

Sep 24, 2016

The course do not match its price at all, it is catastrofically sketchy. First time while using Coursera I am so much unsatisfied with some course.

por Jose P

Jun 08, 2016

Too dull, no programming explanations. Sometimes too simple and suddenly too technical.

por Chanchal

Feb 28, 2017

I suppose that we should have some basic knowledge of data visualization before this course. There are no practical sessions. I could not understand many topics and it seems that content has been missing from this course.

por Rahul K J

Oct 21, 2019

Awesome course for beginners