
How can editors confidently oversee data-informed journalism, even if they are not the ones doing the data analysis?
Learn practical strategies in the online course Data Mindset for Editors, organized by the Knight Center for Journalism in the Americas and running from February 9 to March 8, 2026.
In this four-week course, instructor MaryJo Webster guides editors, producers, and newsroom managers through the full lifecycle of a data-driven story, from idea generation to editing and publication. The course focuses on building an editorial framework for working with data, regardless of participants’ technical background.
By the end of the course, participants will be able to:
Each module introduces essential data concepts, commonly used data journalism tools, and practical tips to strengthen editorial decision-making. The course also features insights from highly regarded data journalists from around the world, whose bios are available below.
This course is designed for editors, producers, and newsroom leaders who want to strengthen their ability to oversee data-informed reporting.
Join this FREE online course to strengthen your data mindset and support data-informed reporting in your newsroom.
Data Mindset for Editors is asynchronous, with no required live events. You can complete activities at your own pace throughout the week.
The course is organized into five modules, combining videos, readings, and discussion forums:
Introduction Module
Start off the course by exploring the value of a data mindset for editors and newsroom leaders. This module features a Q&A with instructor MaryJo Webster and Swedish data journalist Helena Bengtsson, setting the stage for applying data-informed thinking to your newsroom work.
Module 1. Developing a data mindset
Build the foundation for a data-informed editorial approach. Learn basic data concepts, explore examples of data’s role in stories, and discover how to evaluate story ideas and recognize when data can add value.
Module 2. Finding and vetting data
Learn how to assess data sources, ask the right reporting questions, and support reporters in finding or building reliable datasets. Includes real-world examples from data journalism projects at La Nación in Argentina.
Module 3. Strengthening analysis and reporting
Focus on the key steps to ensure data-informed stories are accurate and solid before writing begins. Gain a practical framework for reviewing, analyzing, and reporting on data throughout the story process.
Module 4. Writing, editing, and next steps
Learn how to edit data-informed stories clearly and effectively, including tips for working with numbers and visuals. This module also covers supporting reporters’ skill development, hiring considerations, and the role of artificial intelligence in data journalism.
Register now for free and gain immediate access to the introduction module materials!
Questions? Contact us at journalismcourses@austin.utexas.edu.

MaryJo Webster has been a data journalist for more than 25 years and currently heads up the data team at the Minnesota Star Tribune.
Since joining the Star Tribune in 2015, MaryJo has built up a small data team that includes a data reporter and a news developer. Her team often partners with reporters and editors across every department, using data to elevate stories ranging from quick-turn enterprise to the biggest investigative projects. They also build interactives, such as the annual live election results page for readers and internal tools, such as one to help reporters easily access various datasets.
She regularly speaks or teaches at journalism conferences, workshops, or college classes, including the national data journalism conference put on by Investigative Reporters and Editors and the Digital News Academy in Australia.
For the past six years, she has also served as a senior fellow for the Center for Health Journalism’s Data Fellowship program, where she teaches and mentors journalists on what is often their first data-driven story. Prior to that, she spent about 10 years as an adjunct faculty member at the University of Minnesota’s journalism school.
MaryJo spent nine years as a data editor at the St. Paul Pioneer Press. She also spent several years as the sports data editor for USA Today and was the first data editor at the Center for Public Integrity. She started her career as a beat reporter at small newspapers in New Ulm, Minnesota, and later Oshkosh, Wisconsin.
She has a bachelor’s degree in journalism from the University of Wisconsin-River Falls and a master’s degree in journalism from the University of Missouri-Columbia.
Read more here: maryjowebster.com
GUEST SPEAKERS
Helena Bengtsson is the data journalism editor at Gota Media and Bonnier News Local, two regional publishing companies in Sweden with 55 local titles. She previously worked as the data journalism editor at Sveriges Television, Sweden’s national television broadcaster, for 27 years, and has also served as Editor, Data Projects of The Guardian UK between 2014 and 2017. Read more here: https://www.linkedin.com/in/helena-bengtsson-1659922/
Natalia Louzau is a data journalist at LA Nación Data, the award-winning team of the 150-year-old Argentine newspaper. She currently works at the intersection of journalism and technology. She teaches Data Journalism in the Master’s program at Universidad Torcuato Di Tella and LA NACION, and Generative Artificial Intelligence for designers at the same university. Read more here: https://www.linkedin.com/in/nlouzau/
Chase Davis was an early leader in applying machine learning, natural language processing, and other techniques from data science and artificial intelligence to newsgathering — an interest and skillset he has consistently maintained, especially as generative AI systems have come on the scene. Currently, he runs his own business, Local Angle, a consultancy and development lab focused on helping publishers find enduring advantages in emerging technologies. Previously, he held various roles at the Minnesota Star Tribune, including running an AI Lab and serving as Vice President of Newsroom Strategy and Transformation. He started his career as a data journalist and also spent several years running the interactives team at the New York Times. Read more here: https://www.linkedin.com/in/chasejdavis/
C.J. Sinner is the Director of Graphics and Data Visuals at the Minnesota Star Tribune, where she has worked in graphics, audience, and digital writing roles over her 11 years at Minnesota’s largest news organization. Her own work has been part of two Pulitzer Prize finalist entries and one win for contributing coverage during the 2020 George Floyd protests. She previously worked at the St. Paul Pioneer Press and Bismarck (N.D.) Tribune in a variety of audio, video, data and web production roles, and was previously an adjunct instructor at the University of Minnesota – Twin Cities. Read more here: https://www.linkedin.com/in/cjsinner/
Knight Center for Journalism in the Americas
300 West Dean Keeton
Room 3.212
Austin, TX, 78712
Phone: 512-471-1391
Email: journalismcourses@austin.utexas.edu