Visualization for Data Journalism

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课程主页: https://www.coursera.org/archive/visualization-for-data-journalism

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课程大纲

Module 1: Visualization in Newsrooms
Module 2: Data and Visual Perception
Module 3: Narrative Storytelling
Module 4: Cognitive Load and Color Perception
Course Conclusion

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课程详情

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.

数据新闻的可视化:尽管从最早的日子开始,用数据讲故事一直是新闻实践的一部分,但它正处于复兴之中。图形台曾经被视为“艺术部门”,是新闻编辑室工作之外的一个子领域,现在正成为新闻编辑室运作的核心部分。那些设计新闻图形的人(他们经常有各种各样的头衔:数据新闻工作者,新闻艺术家,图形新闻工作者,开发人员等)应该是成熟的新闻工作者,并与新闻工作者和编辑密切合作。本课程的目的是学习如何思考数据的可视表示形式,其工作方式和原因以及如何以正确的方式进行操作。我们将学习如何制作《纽约时报》,Vox,Pew和FiveThirtyEight之类的图表。最后,您可以在出版物,博客文章和网站上共享并嵌入精美的图表。 本课程假定您了解基本的编码技能,最好是Python。但是,如果您想刷新基础知识并执行简单的数据分析,我们还将在模块1中对Python进行简要介绍。

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