• How to analyze the uses of big data in journalism.
  • How to collect and curate data.
  • The use of opensource and commercial data visualization software.
  • Basic mapping, network analysis, text analysis for visualization.
  • The history and emerging trends of data visualization in journalism.
  • Understanding and applying core design, color, cognitive, and human-interaction theories and concepts in visualization.
  • Working with data and performing simple statistical analysis with Python.


Enhance your storytelling and news reporting skills with Data Journalism

"Data Journalism" 4-week course introduces participants to the craft of using data analysis and visualization in media production, media analysis, and media advocacy today. In this course, we analyze current big data and data visualization uses in reporting and then train in the various methodologies and applications relevant to both print and online journalism.

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 program is to learn how to think about the visual presentation of data, how and why it works, and how to do it 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, interactive charts in publications, blog posts, and websites.


Expert Instruction

4 skill-building courses



3-6 hours per week


This course will introduce students to the history and development of data visualization in journalism practice. Students will learn about the different types of charts and graphics and how accurate visual elements represent data. The course also includes an introduction to data analytics tools.
In this course, students will learn about the process of transforming and mapping data from raw data into other formats to make it more valuable for analytics purposes. Students will also learn how to use specialized software designed specifically for data drilling and number crunching.
In this course, students will learn about story models and narrative structure to enhance reporting and news writing skills by using emotional appeals in order to provide a deeper insight into a news story. Students will also learn about examination of statistics and the difference between traditional and data driven stories.
This course will teach students about the significance of cognition and perception in the field of journalism. Students will learn the theory behind Gestalt principles, visual working and long-term memory in order to develop a deeper understanding of cognition and perception in data journalism.


Data Journalism has become one of the most prestigious career choices as it plays a key role in the production and distribution of information in the digital era. With an increase in the number of communication channels, the audiences around the world have grown in number as well, making journalism a challenging yet rewarding field.

Following are some career options in the field of data journalism:

  • Data Journalist
  • Data Visualization Analyst
  • News Editor
  • Multimedia Journalist
  • Content Manager


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