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Data Journalist

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April 11, 2024 Updated May 20, 2025 18 minute read

The Expanding World of Data Journalism

Data journalism is a rapidly evolving field that combines the principles of traditional reporting with the analytical power of data. It involves finding, collecting, cleaning, analyzing, visualizing, and interpreting datasets to uncover newsworthy stories and present them to the public in an engaging and understandable manner. This approach allows journalists to move beyond anecdotal evidence and provide a more comprehensive and accurate understanding of complex issues.

Working as a data journalist can be incredibly engaging. It offers the thrill of investigative work, the intellectual stimulation of data analysis, and the creative challenge of storytelling. Data journalists have the power to unearth hidden trends, hold institutions accountable, and inform the public in innovative ways. Imagine using data to reveal systemic inequalities, track the impact of policies, or visualize global events in real-time – these are the kinds of impactful projects data journalists undertake. The field is also characterized by its cross-platform nature; stories can manifest as interactive maps, compelling videos, insightful articles, or even engaging social media posts.

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Salaries for Data Journalist

City
Median
New York
$120,000
San Francisco
$146,000
Seattle
$142,000
See all salaries
City
Median
New York
$120,000
San Francisco
$146,000
Seattle
$142,000
Austin
$98,000
Toronto
$99,000
London
£78,000
Paris
€63,000
Berlin
€78,000
Tel Aviv
₪61,000
Singapore
S$60,000
Beijing
¥158,000
Shanghai
¥148,000
Shenzhen
¥482,000
Bengalaru
₹882,000
Delhi
₹650,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Journalist

Take the first step.
We've curated 24 courses to help you on your path to Data Journalist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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An introduction to digital journalism that covers the history, theory, and practice of digital journalism. Explains how digital technologies have changed the way news is gathered, reported, and consumed.
Practical guide to data visualization with ggplot2. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use ggplot2 to create effective and informative graphics.
Collection of recipes for creating different types of graphs in R, including ggplot2 graphs. The book is organized by type of graph, and each recipe provides step-by-step instructions for creating the graph, along with a discussion of the code used to create the graph.
Comprehensive guide to ggplot2 for data analysis. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use ggplot2 to create effective and informative graphics.
Free online tutorial that provides a comprehensive introduction to ggplot2. The tutorial covers all aspects of ggplot2, from basic plots to complex visualizations, and it includes many examples of how to use ggplot2 to create effective and informative graphics.
A practical guide to data visualization using Tableau, emphasizing the principles and best practices of effective data storytelling.
Este libro explora el nuevo modelo de periodismo digital. Analiza sus características, desafíos y oportunidades.
Comprehensive guide to advanced graphics in R. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use R to create effective and informative graphics.
Comprehensive guide to data visualization with R. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use R to create effective and informative graphics.
Guide to the art of data visualization. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to create effective and informative graphics.
Guide to effective data visualization. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to create effective and informative graphics.
Guide to data science with R. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use R to analyze and visualize data.
Guide to data science with Python. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use Python to analyze and visualize data.
A practical guide to using Tableau effectively, covering best practices, performance optimization, and data storytelling.
A guide to using Tableau for data science applications, covering machine learning, statistical modeling, and more.
Guide to data visualization in Python. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use Python to create effective and informative graphics.
Guide to data analysis with Python. The book covers a wide range of topics, from basic principles to advanced techniques, and it includes many examples of how to use Python to analyze and visualize data.
Teaches journalists how to use social media for newsgathering, reporting, and audience engagement. It also discusses the ethical implications of using social media.
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