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Learner Reviews & Feedback for Data Visualization by University of Illinois at Urbana-Champaign

4.5
stars
1,362 ratings

About the Course

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....

Top reviews

MK

Apr 5, 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.

GC

Nov 16, 2020

Very useful course. It enlightens my ways to data visualization. I knew some concepts, but in a disorganized way and not knowing how. This course fills these gaps. It is tremendously helpful.

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226 - 250 of 309 Reviews for Data Visualization

By Tracy C G

Aug 10, 2022

I thought the course was presented very well and that the content was very interesting! I enjoyed the videos that were presented by the instructor and look forward to learning more in the future.

By Gary D

Jun 2, 2017

A fairly interesting course with a good instructor. The course gave me a chance to play with my visualization tools in order to expand my usage rather than being in a rush to complete my tasks.

By Vaidhyanathan C

Apr 27, 2020

I enjoyed a great deal of this course. However, I felt that the course could be improved by adding in a few programming implementations of visualization. Thank you for teaching this subject!

By Pham T K

Sep 3, 2021

It encourage learner to explore more about data visualization while providing examples and programs to finished the course. However, I found it's quite theoretical and short.

By Ângelo

Mar 10, 2021

The classes were great. They are very theoretical in subjects related to computer graphics, I expected something a little more practical. But it was relevant for me, anyway.

By Mohammad H

Apr 11, 2020

An explanation of the reasoning behind the quiz answers would have been helpful. Ideally, similar to what you might see in a multiple choice standardized test prep guide.

By 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.

By Miguel C S

Feb 10, 2022

Shall update the supporting material of the course as most of the resources are outdated. Does not provide enough referential material about technical tools.

By Peter T

Aug 4, 2017

Good course. The section on graphs could use more detail on how the layout algorithms affect usability of data visualizations.

By shravan k

Jun 27, 2017

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

By Dziem N

Oct 2, 2020

Very detailed and interesting discussion of visual perception in humans. The course is very well prepared. Thank you

By Eyes R

May 24, 2019

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

By Gary C

Jun 7, 2017

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

By manijeh k

Aug 23, 2021

I have learned Tableau software and Python to do the assignments and It was really useful for me.

By Gerardo C C

Mar 10, 2018

A lecture video is missing, it seems like months since it's been like this. Please FIx It!

By Dora

Sep 25, 2020

It may be a little bit difficult for beginners who cannot program like me.

By NOHEMI A G H

Aug 20, 2023

Se me hizo un curso muy complejo, pero a la vez es muy enriquecedor

By Christopher T

Jan 5, 2022

well built course with engaging information; not overwhelming.

By S S

Feb 28, 2020

The content regarding network analysis could be more detailed

By Lerata M

Mar 15, 2021

Good course but, a little bit tricky for non programmer.

By Mohit S

Apr 19, 2020

Would have liked a technical approach to learning as well

By Duke

Feb 29, 2020

A good guide, but still lacks course fun and practices.

By Scott C

Jul 6, 2018

Very easy to understand presentation on visualization.

By HICHEM B

Nov 30, 2020

thank you, it's really strong theorical understanding

By Lee M

Sep 11, 2020

Great course to understand how to let the data speak!