A stunning amount of data is available to journalists these days, and it is growing exponentially. Not surprisingly, the need for data journalists is expanding as well.
Data-driven journalism is a diverse field that involves interpreting data, developing programming code, and creating databases, maps, charts and other visualizations. Some of the skills required take considerable study. But we often overlook the complexity of data journalism and leave our young journalists without the knowledge they need to succeed.
What should students know about code and data visualizations? What skills should be taught to best prepare them for jobs in data-driven journalism?
Northwestern University Medill School professor Jeremy Gilbert, University of Southern California Annenberg School professor Robert Hernandez, ringleader of For Journalism Dave Stanton and I got together to discuss the tremendous possibilities at the intersection of data, technology and news. Our live chat focused on what educators need to teach and students should learn to succeed in computational journalism.
Replay this chat to see the resources we all shared. Find our archives at www.poynter.org/chats.
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