Chevron Left
Volver a Visualización de datos

Opiniones y comentarios de aprendices correspondientes a Visualización de datos por parte de Universidad de Illinois en Urbana-Champaign

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


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.

Filtrar por:

76 - 100 de 192 revisiones para Visualización de datos

por LUIZ C C G

Mar 06, 2018

Very informative and well structured!

por 张舒沁

Jun 01, 2016

Thank Coursera very much for providing such a good course. Also thank for the teacher from Illinois.

por David O

Jan 22, 2018

Great course.

por Syed A M

Dec 15, 2016

One of the excellent courses I have ever studied. Professor style of teaching is very soft and simple, point to point and very clear. I have given 100 out 100 marks.

por Mohamed B

Jul 29, 2017


por Ben W

Feb 08, 2017

Excellent! Looking forward to the next one!

por Ziyue L

Oct 04, 2016


por Huston L

Oct 31, 2016


por Felix K

May 13, 2018

Amazingly great Lecture

por Arpit S

Aug 04, 2017

this is my first course from coursera and its very experance after taken this course

i an very bringnner this course help me lot to take further path towords the data science and data mining

thanks sir

por Lina E P S

Jun 21, 2016

Excelente curso, tiene tareas prácticas que considero son las valiosas y de las que más se aprende.

por William G

Dec 10, 2017

Really enjoyed it and learned a lot!

por zhaowen

Jul 28, 2016


por Juan V

May 07, 2017

Awesome course, 100% recommended

por Sean O

Jun 18, 2017

A really helpful primer. I lays out a broad map of the concepts that inform the craft of data visualization and provides a basic set of examples and exercises. It's up to the student to take this map and really explore each if s/he hopes to master the subject. Thank you, Professor Hart!

por Sukanya C

Jul 03, 2018

I really liked this course on Data Visualization,and Prof Hart is a wonderful instructor. the course is very interesting and sets one's basics right .The assignments were very interesting, but I don't fully agree with the system of peer graded assignment. would be better if some teacher graded us.

por Boaz L

Apr 05, 2018

Excellent course. Very interesting.

por Xinwei L

May 02, 2016

so cool

por Alex S

Nov 07, 2016

This is a great course. I highly recommend this course if you are looking to better visualize your data for an audience, and how people perceive graphs.

por ShaohuaWang

Jul 16, 2017

perfect course.

por 胡鹏涛

Oct 03, 2016

A course that can benefit you in both professional fields and daily works.It suit for all since it doesn't focus on theory but application.

por Pedro H S B

Aug 09, 2017

Very nice overview for the subject. Great introduction that focuses for every kind of professional interested in data visualization (eg.: programmers and designers, analysts and decision makers). I really appreciate the projects and the peer-review model. It was an amazing challenge and I definitely will take the sequence of Data Visualization courses. Thanks Coursera :)

por Do H L

Apr 13, 2016

Great, useful course!

por Pham V T

Apr 15, 2017

Very good course

por Radha.G

Jun 14, 2017

i really enjoyed this course and get gain more knowledge