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Learner Reviews & Feedback for Visualization for Data Journalism by University of Illinois Urbana-Champaign
68 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
LS
Feb 23, 2021
Lectures by professor Ng are excellent. But I found that the final project relies too heavily on Python coding, which wasn't as covered (there are ungraded exercises in the previous lessons).
AA
Jun 11, 2020
Comprehensive course to helping us how to use data for journalism as well as will help us in understanding data in newspapers.
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26 - 29 of 29 Reviews for Visualization for Data Journalism
By Karla F
•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
•Feb 10, 2021
The course can be bit more interesting with some suspense and current trending scenarios
By Titus H
•Jan 19, 2023
great course