The National Institute for Computer-Assisted Reporting, a project of Investigative Reporters and Editors, launched in 1989 to train reporters around the world on how to use data as part of broader investigations. In addition to “boot camps” and in-office training, NICAR offers a data library, practice data sets, and hosts the original annual conference on computer-assisted reporting. IRE also publishes the popular book, Computer-Assisted Reporting: A Practical Guide.

Poynter offers Five Tips for getting started with computer-assisted reporting, and 10 Tools to analyze datasets more efficiently.

Nils Mulvad, a co-founder and board member of the Global Investigative Journalism Network, wrote this article for GIJN in February 2015 about free or nearly free data tools.

The Center for Investigative Journalism published a manual on data journalism “for all journalists who want to master the art of interrogating and questioning numbers competently.” CIJ also provides a slew of additional books, guides and video resources on aspects of data journalism.

Data-Driven Journalism offers a collection of resources for computer-assisted reporters. is “a curated guide to the best tools, resources and technologies for data visualization,” with 21 categories that include mining, cleaning, scraping, and interactive story-telling.

The International Consortium of Investigative Journalists provides a selection of video tutorials on basic Excel functions, as well as how to background a person or company, or find federal court documents in the U.S.

The International Journalists’ Network maintains a blog of the latest trainings, tools, and resources for data journalists.

The Investigative Dashboard lists tools for data mining, visualization and social network analysis. Google search your tool of choice and you’ll surely find tutorials on how to begin.

The Data Journalism Handbook is an international, collaborative effort involving dozens of data journalism experts. The free guide is available for download in English, French, Georgian, Russian, and Spanish.

Code Academy offers a series of free interactive trainings on the basics of HTML, CSS, JavaScript, Python, Ruby, and PHP.

Massachusetts Institute of Technology offers a series of free online courses in computer programming with Python, Java, and C++.

Michael Hartl publishes an open-source textbook on how to program with Ruby on Rails.

ProPublica ran this “shopping list” of tools and training guides for scraping data from the web using Ruby.

Online Journalism published an introduction to using ScraperWiki to obtain data from the web.

The Open Data Handbook discusses the legal, social and technical aspects of open data, with case studies and handy tips.

Codementor offers online tutorials for a fee to learn programmes, which are widely used in newsrooms, such as Ruby on Rails and Python from scratch through code mentors. There are also free useful guides and tips.

Analytics Vidhya offers a tutorial to learn the basics of R programming for data science,which covers data analysis and data manipulation.

KDnuggets offers a wide variety of tutorials focusing on data mining, analytics and data science, including 3 Viable Ways to Extract Data from the Open Web4 lessons for Brilliant Data VisualisationMining Twitter Data with Python and Text Mining 101:Topic Modeling.

Investigative Reporters and Editors provides a simple tutorial to converting PDFs to Text.

Electronic Data Resource Service at McGill provides a tutorial on how to export a table from PDF to Excel.

School of Data offers a series of tutorials – from finding datasets, to basic Excel skills and using the results to tell a story.

Sandhya Kambhampati shares some key recommendations to start creating your own database.

Dan Nguyen put together this tutorial on using Google Refine to clean structured data sets, and also links to other video tutorials on Google Refine.

Github offers a “Gentle Introduction to SQL.”

Chandoo a blog started in 2007 that aims to “to make you awesome in excel and charting”.

Edward Tufte’s books and courses are industry standards.

Flowing Data is run by statistician Nathan Yau, author of Data Points: Visualization that Means Something and Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. offers a directory of compelling infographics, how-to info, and more.

Esri offers a series of free online courses for those interested in mapping with ArcGIS.

Gustavo Faleiros created  for launching geodata-based sites. It allows news organizations, bloggers and NGOs to publish news stories as layers of information on digital maps.

Peter Aldhous put together a primer on using Excel’s free social network plugin, NodeXL.

The Data Visualisation Catalogue is an on-going project to “help you find the right data vizualization method for your data”.

Data Viz Done Right, a blog that highlights data viz best practices around the web.

Google Maps Mania, a good blog for following the development of digital cartography (not only Google products).

Visual Loop, a website that displays “the world’s best infographics and data visualizations.”

Helpmeviz aims to help people with everyday data visualizations, designed to facilitate discussion, debate, and collaboration from the data visualization community.

Sanjit Oberai has tutorials on how to create a world map with integrated data values in 5 minutes and making a Word Cloud.

Here you can check out a list of visualization tools from IJAsia 2016.

OpenIntro hosts this free textbook on statistics

Knight Digital Media Center provides free, two-day online courses.

Flowing Data is run by statistician Nathan Yau

Coursera offers a number of online statistics courses including:

Recommended Books on Statistics:

Thinking, Fast and Slow, by Daniel Kahneman

Data Blog, the Guardian’s blog on computer-assisted reporting

Online Journalism Blog, by the UK’s Paul Bradshaw, covers data journalism, citizen journalism, blogging, vlogging, and more.

Open Knowledge Foundation, global movement to open up knowledge around the world and see it used and useful

Frontiers of Journalism on! collects articles about data journalism

Computational Reporting, all about data mining

Dajore, data journalism research

Driven by Data, how data journalism is sifting through the facts, random thoughts on information visualization and data journalism

Reporter’s Lab, Duke University’s blog on tools, techniques and research for public affairs reporting.

Tow Center for Digital Journalism, Columbia’s blog on how technology is changing journalism, its practice and its consumption.

FiveThirtyEight, founded by renowned statistician Nate Silver.

The Upshot, a data journalism site by the New York Times dedicated to politics, policy and economic analysis.

Washington Post Information Graphics, a blog that gives an overview of the data journalism articles produced by the newspaper.

NPR Visuals Team, a blog that focuses on the methodology behind data journalism projects and that also shares open tools.

Source blog, a Mozilla/Open News project that offers guides, tutorials and regular features by top data journalists.

Storybench, a collaboration between the Media Innovation track at Northeastern University’s School of Journalism and Esquire magazine.

Computer-Assisted Reporting: A Comprehensive Primer, By Fred Vallance-Jones and David McKie

Computer-Assisted Reporting: A Practical Guide, the E-version by Brant Houston

Computer-Assisted Research: Information Strategies and Tools for Journalists, By Nora Paul and Kathleen A. Hansen

The Data Journalism Handbook is an international, collaborative effort involving dozens of data journalism experts. The free guide is available for download in Arabic, English, French, Georgian, Russian, and Spanish.

Finding Stories in Spreadsheets, by Paul Bradshaw

Mapping for Stories: A Computer-Assisted Reporting Guide, By Jennifer LaFleur and Andy Lehren

Precision Journalism: a Reporter’s Introduction to Social Science Methods, by Philip Meyer

NICAR hosts the original annual conference on computer-assisted reporting, which is attended by hundreds, and also puts on data-specific boot camps.

Data Harvest is a collaboration between the Journalismfund.euWobbing Europe and The next conference is scheduled for May 19 to 21, 2017 in Mechelen, Belgium.

The International Journalism Festival in Perugia, Italy, includes a School of Data Journalism training.

The Global Investigative Journalism Conference, held every two years, hosts a broad range of data-specific trainings.

Ghana Databootcamp trains participants in Ghana on how to locate, obtain and analyze public data on the extractive industries.

Data Journalism UK is a new annual conference organized by Birmingham City University’s Paul Bradshaw.