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

These skills are no different from basic journalistic skills. However, in the last 20 years, the effective use of data that has been digitized and growing with the Internet every day has become important.

Leaks are one of the most recent examples. Journalists have discovered that they can benefit from unstructured data. In addition, this situation has improved the awareness of cooperation in journalism. In this context, it would be helpful to explain who is the data journalist and what skills a data journalist should have? Data Journalist is the ability to think of creative ways to channel data. Journalist can interview a person, and journalist can interview spreadsheets. Another definition a data journalist is a person who collects, cleans, analyzes, visualizes, and tells news using data journalism tools. The person with these skills defines his / her profession as a data journalist, as in the examples given below.

Interest in acquiring skills listed skills (%), 2017 Global Data Journalism Survey, N=181

Data Journalist Skills Ability to perform research Breaking news and developing stories Researching and analysing valuable data for features, reports and events Using data trends a basis for news stories Identifying new data sources and trends Creating ‘follow up’ and analysis pieces using fresh data As a result, the passion for working with data is one of the most important motivations and skills for the data journalist. So Nick Routley says ,“Having a basic knowledge of how statistics work, being able to assess white-paper and report methodologies, and a sense of where to find reliable data-sets are all good skills to manage your way in data journalism.”

Screenshoot : Numerous data skills including: negotiating for and obtaining data, records and documents; cleaning data; building a data scraper; data analysis using Excel and SQL; mapping for analysis; building a data application; how to tell a story from data. Data analysis -> Excel, R, a Relational database management system like MySQL/Postgres, Python/Ruby/node.js, QGIS. Data cleaning -> Tabula, OpenRefine. The cloud of skills you see below is the tools and skills of data journalists in projects that have received the data journalism award for 2018.

Chart:

https://twitter.com/search?f=users&vertical=default&q=ddj&src=typd
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6.Skills necessary for working with data

https://www.researchgate.net/figure/Interest-in-acquiring-skills-listed-skills-2017-Global-Data-Journalism-Survey-N181_fig2_324637391