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

4.5
stars
69 ratings

About the Course

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors. The purpose of this class is to learn how to think about the visual presentation of data, how and why it works, and how to doit the right way. We will learn how to make graphs like The New York Times, Vox, Pew, and FiveThirtyEight. In the end, you can share–embed your beautiful charts in publications, blog posts, and websites. This course assumes you understand basic coding skills, preferably Python. However, we also provide a brief review on Python in Module 1, in case you want to refresh yourself on the basics and perform simple data analysis....

Top reviews

CL

Oct 17, 2021

Took this class for my job which requires lots of data visualization. Enjoy the classes a lot and learn so so much from it! The slides are easy to follow and very attractive to learn.

SG

May 10, 2022

I truely enjoyed the contents and teaching in this online course. It's very helpful for my projects as an intern in journalism. Thanks so much, Dr. Ng. Amazing course.

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26 - 30 of 30 Reviews for Visualization for Data Journalism

By Cristian C

•

Mar 18, 2026

Nicely taught course with many great examples. The only downside is the format of the assignments which can be more straightforward (for example I don't get why the final assignment did not require a pdf submission about the topic with the code in appendix).

By Karla F

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Feb 14, 2021

I learned a lot from this course. I love the theory parts of how we visualize the data in a journalism context. It would be even greater if I could learn more about data wrangling, e.g. how to deal with NaN values, etc.

By SANTOSH

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Feb 10, 2021

The course can be bit more interesting with some suspense and current trending scenarios

By Titus H

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Jan 19, 2023

great course