Data Journalism Course Modules-BAKU
  • Training Module for Data Journalism Course
  • DATA JOURNALISM IN THE NEWSROOM
  • 1. Module introduction
  • 2.The History of Data Journalism
  • 3. Definition of Data Journalism
  • 4.Case studies from Turkey and from other countries
  • Practice
  • 5.Assembling a team for a data journalism project
  • 6.Skills necessary for working with data
  • TELLING STORIES WITH VISUALIZATION
  • 1.Module introduction
  • 2.History of Data Visualization
  • 3.Definition of Data Visualization
  • 4. Basic Principles of Data Visualization
  • 5.Creating good data visualization
  • 6.Matching Data and Graph Types: Interpreting Data Visualizations
  • DATA VISUALIZATION TOOLS
  • 1.Module introduction
  • 2.Using Excel to do data journalism
  • 3.Data journalism basics with Google spreadsheets
  • 4.Simple visualization tools: Infogram, Piktochart, Workbenchdata, Flourish and datawrapper
  • 5.Data visualization: advanced visualizations using Tableau.
  • Resource
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Last updated 5 years ago

Some News Sites with Data Journalism from the World: Pakistan, Egypt, Kenya, Syria, India, China, Switzerland, America, Britain

STATE OF DATA JOURNALISM IN 2017 The report outputs allow us to see how data is used in newsrooms. Again in the report is mentioning that the majority of respondents felt that data was critical to the modern newsroom. More than four out of every five survey respondents (in the Google Trends stratified sample of about 400 respondents) agree that all journalists need to be comfortable reporting on data.

Slightly more than half of all respondents said their news organizations have a dedicated data journalist, but that share rose to 60% in digital-only organizations

A quarter of respondents reported that poor ROI is a significant barrier to using more data in the newsroom

Can be viewed in detail here Some example of the Data Journalism Teams

According to the report data journalism based on the types of news produced like this: • STORIES THAT ARE ENRICHED BY DATA (e.g., “Fact Check: Trump and Clinton Debate for the First Time,” NPR). These are the traditional news stories in which relevant data is used to verify the underlying reporting. • STORIES THAT USE DATA TO INVESTIGATE (e.g., “Unfounded,” The Globe and Mail). In these news stories, the journalist exposes information or surfaces a story hidden in the data. These types of stories may take longer to produce and may rely on a combination of skill sets, ranging from algorithm creation to sophisticated data visualizations. • STORIES THAT EXPLAIN DATA (e.g., “It Was Not Always the East,” Berliner Morgenpost). With more data readily available to the public, journalists have made use of increasingly sophisticated data tools to provide meaning behind the numbers to readers.

As mentioned the ability to work with data is inevitable for modern journalism. Newsrooms will evolve into structures that now use these skills. Therefore, the future of data journalism is the future of journalism as it is included in the report. But of course in the context of these methods, the future of data journalism will hinge on a variety of factors, from the sustainability of newsrooms to innovation in technology and the evolution of skill sets to extract value and report new insights to audiences.

http://bit.ly/2IZA1oR
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in the report,
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5.Assembling a team for a data journalism project