Learner reviews & feedback for Data Visualization

4.51,407 reviews

About this course

This course will teach you how to make more effective visualizations of data. Not only will you gain deeper insight into the data, but you will also learn how to better communicate that insight to others. You will learn new ways to display data, applying some fundamental principles of design and human cognition to choose the most effective way to display different kinds of data. This course not only teaches you how to use popular applications like Tableau to connect to data warehouses to extract and visualize relevant data, but also teaches you how Tableau works so you can use the same techniques to make effective data visualizations on your own with any visualization system.

Featured reviews

5.0Reviewed Dec 14, 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.

4.0Reviewed May 28, 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.

5.0Reviewed Aug 9, 2016

Excellent opportunity to understand Data Visualization. I loved the home work given in the course, very unique and creative. Lot's of scope to cultivate an idea.

4.0Reviewed Jun 1, 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.

5.0Reviewed Apr 14, 2020

It was a very enriching experience. Coursera is such a nice platform for learners.Very good lectures. I am thankful for the team and the Instructor.

5.0Reviewed Jul 27, 2019

I don't have knowledge of computer or programming but with this great instruction, I am able to challenge myself to learn new thing and finish the course. Thank you very much.

4.0Reviewed Feb 9, 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Shall update the supporting material of the course as most of the resources are outdated.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.

5.0Reviewed Mar 8, 2020

This course provides me a good understanding of how to visualize data, how to display data, how to perceive data. Best knowledge for data visualization.

4.0Reviewed Apr 26, 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!

5.0Reviewed Dec 11, 2019

Good conceptual introduction, plus some hands on assignments that will increase the chances that you continue to create visualizations of the data you work with.

5.0Reviewed Apr 23, 2022

Excellent introduction to data visualization. The lectures are interesting and high quality. I used D3.js to try different approaches, which was a bit time consuming but interesting.

5.0Reviewed 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.

All reviews

Showing: 20 of 317

Pāvels Grjozs

3.0

Reviewed May 4, 2018

Good course but need some thing to do:

1. More material. Some topics are just looked superficially.

2. Need provide addition video lessons ore provide information to student that he need know some visualization tool. Excel, Tableau, any thing.

3. There is some errors what still not corrected for many months - in week 4 some video is empty, some misunderstanding information on video slide.

James Alexander Luke

2.0

Reviewed Aug 6, 2018

Too much background information, not enough information critical to applicable demands.

Chen Qiu

4.0

Reviewed Feb 4, 2019

The fundamental concept part and assignments are good.

But I think since it is related to visualization, the course can spend more time on how to make a visual.

Marcus Magno Fernandes Tortorelli

2.0

Reviewed Jul 26, 2017

Very generic ideas, not sure if worth it.

Cyberfam O

1.0

Reviewed Aug 30, 2018

most horrible specialization in coursera! Time wasted

Sachita Pathak

5.0

Reviewed Jan 15, 2018

Very nice course. It encourages you to learn different data visualization tools for completing the assignments. And, peer graded assignments are too beneficial since, they give you a sight of how other peers are completing their work and all. Lecture videos too are awesome!!

NAGA AJAY K

5.0

Reviewed Apr 12, 2020

It's always with Coursera providing amazing courses for students to enhance their skills and adding their part to the success of students in their life's.

This Amazing course data visualization starts from very basic, like which colour our eye attracts more to reaches the top of data visualization topics like visualizing complex network graphics.

Thanks for Coursera for this amazing course.

Taha Mohamed

5.0

Reviewed Apr 15, 2020

One of the best courses that i have attended during my entire life. I have worked as BI consultant for 15 years and the contents availed in this course is a must to have for anyone working in BI field. Thanks Illinois University for this amazing course

Light W

5.0

Reviewed Aug 10, 2018

The lectures introduces various ways of visualizing data.

There are fewer details on Tableau software usage and hand-on network graphing tutorial, students will have to search for more knowledge in these parts during the class.

Mykola Kozlenko

5.0

Reviewed Apr 6, 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.

John Mann

5.0

Reviewed Jun 4, 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.

Cheng-shuo Ying

5.0

Reviewed Nov 27, 2017

Really like this course which leads me to Tableau. After the course, I take about 8 hours to learn Tableau and I think my ability of data visualization ballooned.

Ashwin Narayanan

5.0

Reviewed Mar 18, 2020

Before learning any BI tools or Visualization library, this course content needs to be known

Rahul Madhavan

5.0

Reviewed Feb 7, 2018

seemed to me the best course of the specialization

GANG LI

4.0

Reviewed Dec 6, 2017

Very solid data visualization class for people interesting in visualization. It explains a lot of knowledge under the hood. Not that fit for people who just want to learn some tools and quick skills. It is computer science.

Andres Schlageter

4.0

Reviewed Sep 24, 2018

Bueno para obtener ideas de que hacer, pero necesitas saber programar a nivel basico

Jennifer Koenig

2.0

Reviewed 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.

Lei Zhang

2.0

Reviewed Dec 30, 2016

too theoretical without enough practical quiz and assignment

NAGOTHU KRANTHI KUMAR VP21CSCI0200051

1.0

Reviewed Mar 10, 2022

waste

Trang Le

5.0

Reviewed Jan 26, 2017

Professor has a soft, easy to follow teaching style but the course structure has several pitfalls:

It gets too theoretical in week 3 and 4 and you really don't need complex algebra or statistics to pass the course but it'd be hard to understand the core matters without them. Week 4's assignment is only a quiz and I think there should have been a project to really test student's ability to apply the learned materials in real situations. Besides, you don't need programming skill to complete the assignments, but it takes a lot of time to learn free, ready-made datavis tools and they are too limited to deliver the outcomes we want.

I think if anyone is serious about learning data visualization, you can't get away with not knowing programming and statistics and those two should be prerequisites.