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Homepage | DataJournalism.com

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Beskrivelse

The world's largest data journalism learning community. Featuring free video courses, long reads, resources and a discussion platform.

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datajournalism, datadrivenjournalism, tutorial videos, long reads, datasets

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Overskrifter

H1 H2 H3 H4 H5 H6
2 3 10 11 43 151
  • [H1] Where journalism meets data
  • [H1] Our Handbooks
  • [H2] Our original Long Reads, written by the best data experts
  • [H2] Detailed courses and expert interviews for all workflow levels
  • [H2] Learn data journalism through the power of community
  • [H3] The State of Data Journalism Survey 2023
  • [H3] Telling climate stories through a solutions and data lens
  • [H3] How to approach environmental investigations with OSINT
  • [H3] Here's what we learned from our podcast series on environmental justice
  • [H3] Reshaping how we visualise the climate crisis
  • [H3] Data gives voice to women on climate change
  • [H3] Climate Journalism Award
  • [H3] Data Journalism Handbook 2
  • [H3] Verification Handbook +Translations
  • [H3] Review your cookie settings for the optimal site experience.
  • [H4] Longform reads
  • [H4] Verification Handbook
  • [H4] Data Journalism Handbook 2
  • [H4] New course
  • [H4] New course
  • [H4] Popular course
  • [H4] For Disinformation And Media Manipulation
  • [H4] Towards a Critical Data Practice
  • [H4] How journalists can use data to improve the news
  • [H4] A Guide To Online Search And Research Techniques For Using UGC And Open Source Information In Investigations
  • [H4] A Definitive Guide To Verifying Digital Content For Emergency Coverage
  • [H5] Countering hate speech
  • [H5] Fundamental search for journalists
  • [H5] Python for journalists
  • [H5]
  • [H5] How solutions storytelling can engage local communities on mitigating the climate crisis
  • [H5] Hear what it takes to bring open source data to uncover the invisible
  • [H5]
  • [H5]
  • [H5] How to cover the climate crisis with a focus on gender
  • [H5] Winners announced
  • [H5] Towards a Critical Data Practice
  • [H5] For Disinformation And Media Manipulation
  • [H5] Climate change through a solutions and data lens
  • [H5] New climate metrics for new climate conversations
  • [H5] Data gives voice to women on climate change
  • [H5] Kill switch: reporting on and during internet shutdowns
  • [H5] Putting data back into context
  • [H5] The unspoken rules of visualisation
  • [H5] Reporting beyond the case numbers: How to brainstorm COVID-19 data story ideas
  • [H5] The essential lies in news maps
  • [H5] The essential lies in news maps
  • [H5] Putting data back into context
  • [H5] Spreadsheets for journalism
  • [H5] Designing data visualisations with empathy
  • [H5] Countering hate speech
  • [H5] Fundamental search for journalists
  • [H5] Python for journalists
  • [H5] When to hire a data journalist
  • [H5] Going Viral Using Social Media Analytics
  • [H5] Python for journalists
  • [H5] Doing Journalism with Data: First Steps, Skills and Tools
  • [H5] Fundamental search for journalists
  • [H5] Cleaning Data in Excel
  • [H5] Countering hate speech
  • [H5] Mapping for Journalists
  • [H5] Python for journalists
  • [H5] Doing Journalism with Data: First Steps, Skills and Tools
  • [H5] Charting Tools for the Newsroom
  • [H5] Going Viral Using Social Media Analytics
  • [H5] Cleaning Data in Excel
  • [H5] When to hire a data journalist
  • [H5] Mapping for Journalists
  • [H5] Verification: The Basics
  • [H6] Quality journalism
  • [H6] Video course
  • [H6] Coding
  • [H6] Quality journalism
  • [H6] Video course
  • [H6] Coding
  • [H6] Best practices
  • [H6] Data analysis
  • [H6] Coding
  • [H6] Covering issues
  • [H6] Video course
  • [H6] Data collection
  • [H6] Quality journalism
  • [H6] Data visualisation
  • [H6] Coding
  • [H6] Covering issues
  • [H6] Data visualisation
  • [H6] Data analysis
  • [H6] Data collection
  • [H6] Best practices
  • [H6] Data visualisation
  • [H6] Case studies
  • [H6] Countering hate speech 18
  • [H6] Scrape data 25
  • [H6] Analyse data 9
  • [H6] Clean data 38
  • [H6] Course introduction: meet the instructors 10
  • [H6] Introduction to scraping 2
  • [H6] Fundamental search for journalists 45
  • [H6] Course introduction 2
  • [H6] The Fundamentals
  • [H6] Getting started 19
  • [H6] Inside a data team 7
  • [H6] Module introduction
  • [H6] Geo and mapping 4
  • [H6] What is data journalism? 6
  • [H6] RAWGraphs 4
  • [H6] The main principles of datavisualisation
  • [H6] Bonus: Hands-on with Adobe Illustrator 5
  • [H6] Static maps with QGIS 8
  • [H6] Production and publication
  • [H6] Variables and processes at play
  • [H6] Course introduction 2
  • [H6] File encoding, inspecting & correcting data 7
  • [H6] Crediting and Labelling
  • [H6] Ethics and Protecting your Sources
  • [H6] Data Journalists Discuss Their Tools of Choice
  • [H6] Formulas and pivot tables 5
  • [H6] How to turn numbers into stories 7
  • [H6] Data Journalism: In Whose Interests?
  • [H6] Keep it simple 2
  • [H6] Sorting and filtering data in Excel
  • [H6] Creating different types of charts
  • [H6] The business case for data journalism
  • [H6] Choosing the best graphic forms 4
  • [H6] Static maps 2
  • [H6] Join multiple datasets
  • [H6] Using formatting and basic formulas 5
  • [H6] Course introduction
  • [H6] Visualisation
  • [H6] Investigating Disinformation and Media Manipulation 2
  • [H6] Introduction 5
  • [H6] Capturing racial justice protests with data
  • [H6] The power of predictive analytics
  • [H6] Mastering data for better business journalism
  • [H6] Giving data soul: best practices for ethical data journalism
  • [H6] Course introduction
  • [H6] Data scraping for stories
  • [H6] Interactive maps with CARTO 2
  • [H6] Reporting beyond the case numbers: How to brainstorm COVID-19 data story ideas
  • [H6] Advanced search 3
  • [H6] How to use Chartbuilder
  • [H6] Safety 2
  • [H6] Module introduction
  • [H6] For the Great Unnamed
  • [H6] The dos and don'ts of predictive journalism
  • [H6] Putting data back into context 2
  • [H6] The Handbook At A Glance
  • [H6] Strategic searching - tips and tricks
  • [H6] What Is Data Journalism?
  • [H6] Data journalism in disaster zones
  • [H6] The Algorithms Beat: Angles and Methods for Investigation
  • [H6] Let’s get physical: how to represent data through touch 2
  • [H6] Under-reported news 2
  • [H6] Fundamental search for journalists 45
  • [H6] Clean data 38
  • [H6] Scrape data 25
  • [H6] Getting started 19
  • [H6] Countering hate speech 18
  • [H6] Course introduction: meet the instructors 10
  • [H6] Analyse data 9
  • [H6] Static maps with QGIS 8
  • [H6] Inside a data team 7
  • [H6] File encoding, inspecting & correcting data 7
  • [H6] How to turn numbers into stories 7
  • [H6] What is data journalism? 6
  • [H6] Bonus: Hands-on with Adobe Illustrator 5
  • [H6] Formulas and pivot tables 5
  • [H6] Using formatting and basic formulas 5
  • [H6] Introduction 5
  • [H6] Geo and mapping 4
  • [H6] RAWGraphs 4
  • [H6] Choosing the best graphic forms 4
  • [H6] Advanced search 3
  • [H6] Introduction to scraping 2
  • [H6] Course introduction 2
  • [H6] Course introduction 2
  • [H6] Keep it simple 2
  • [H6] Static maps 2
  • [H6] Investigating Disinformation and Media Manipulation 2
  • [H6] Interactive maps with CARTO 2
  • [H6] Safety 2
  • [H6] Putting data back into context 2
  • [H6] Let’s get physical: how to represent data through touch 2
  • [H6] Under-reported news 2
  • [H6] The Fundamentals
  • [H6] Module introduction
  • [H6] The main principles of datavisualisation
  • [H6] Production and publication
  • [H6] Variables and processes at play
  • [H6] Crediting and Labelling
  • [H6] Ethics and Protecting your Sources
  • [H6] Data Journalists Discuss Their Tools of Choice
  • [H6] Data Journalism: In Whose Interests?
  • [H6] Sorting and filtering data in Excel
  • [H6] Creating different types of charts
  • [H6] The business case for data journalism
  • [H6] Join multiple datasets
  • [H6] Course introduction
  • [H6] Visualisation
  • [H6] Capturing racial justice protests with data
  • [H6] The power of predictive analytics
  • [H6] Mastering data for better business journalism
  • [H6] Giving data soul: best practices for ethical data journalism
  • [H6] Course introduction
  • [H6] Data scraping for stories
  • [H6] Reporting beyond the case numbers: How to brainstorm COVID-19 data story ideas
  • [H6] How to use Chartbuilder
  • [H6] Module introduction
  • [H6] For the Great Unnamed
  • [H6] The dos and don'ts of predictive journalism
  • [H6] The Handbook At A Glance
  • [H6] Strategic searching - tips and tricks
  • [H6] What Is Data Journalism?
  • [H6] Data journalism in disaster zones
  • [H6] The Algorithms Beat: Angles and Methods for Investigation
  • [H6] About
  • [H6] Made possible by
  • [H6] Useful links
  • [H6] Small print
  • [H6] Social media

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Climate change through a solutions and data lens Ekstern Sender Juice
New climate metrics for new climate conversations Ekstern Sender Juice
Data gives voice to women on climate change Ekstern Sender Juice
Kill switch: reporting on and during internet shutdowns Ekstern Sender Juice
Data drives media coverage of climate refugees Ekstern Sender Juice
How to create data visualisations that serve the public Ekstern Sender Juice
Uncovering the truth: Exploring the benefits of federated databases for policing records Ekstern Sender Juice
They're not database rows; they're people Ekstern Sender Juice
Verification Handbook Intern Sender Juice
Data Journalism Handbook 2 Intern Sender Juice
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Listen Intern Sender Juice
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The State of Data Journalism Survey 2023 Ekstern Sender Juice
How to approach environmental investigations with OSINT Ekstern Sender Juice
Here's what we learned from our podcast series on environmental justice Ekstern Sender Juice
Climate Journalism Award Ekstern Sender Juice
Data Journalism Handbook 2 Ekstern Sender Juice
Liliana Bounegru Intern Sender Juice
Jonathan Gray Intern Sender Juice
Verification Handbook +Translations Ekstern Sender Juice
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Putting data back into context Ekstern Sender Juice
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The unspoken rules of visualisation Ekstern Sender Juice
Kaiser Fung Ekstern Sender Juice
Reporting beyond the case numbers: How to brainstorm COVID-19 data story ideas Ekstern Sender Juice
Paul Bradshaw Ekstern Sender Juice
The essential lies in news maps Ekstern Sender Juice
Maarten Lambrechts Ekstern Sender Juice
Spreadsheets for journalism Ekstern Sender Juice
Brant Houston Ekstern Sender Juice
Designing data visualisations with empathy Ekstern Sender Juice
Kim Bui Ekstern Sender Juice
Verification 3 Intern Sender Juice
Data 2 Intern Sender Juice
Data 1 Intern Sender Juice
Verification 2 Intern Sender Juice
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European Journalism Centre Ekstern Sender Juice
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The Fundamentals Ekstern Sender Juice
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Module introduction Ekstern Sender Juice
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The main principles of datavisualisation Ekstern Sender Juice
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Production and publication Ekstern Sender Juice
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Variables and processes at play Ekstern Sender Juice
Crediting and Labelling Ekstern Sender Juice
Ahmed El-Affendi Intern Sender Juice
Ethics and Protecting your Sources Ekstern Sender Juice
Data Journalists Discuss Their Tools of Choice Ekstern Sender Juice
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Data Journalism: In Whose Interests? Ekstern Sender Juice
aldonsa aleta Intern Sender Juice
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Sorting and filtering data in Excel Ekstern Sender Juice
Creating different types of charts Ekstern Sender Juice
The business case for data journalism Ekstern Sender Juice
Nicolaie Constantinescu Intern Sender Juice
Join multiple datasets Ekstern Sender Juice
Gustavo Pérez Intern Sender Juice
Course introduction Ekstern Sender Juice
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Visualisation Ekstern Sender Juice
Duarte Silva Intern Sender Juice
Filip Mirilovic Intern Sender Juice
Samuel Adeapin Intern Sender Juice
Capturing racial justice protests with data Ekstern Sender Juice
Duncan Anderson Intern Sender Juice
The power of predictive analytics Ekstern Sender Juice
Mastering data for better business journalism Ekstern Sender Juice
Magda Konstantinidou Intern Sender Juice
Giving data soul: best practices for ethical data journalism Ekstern Sender Juice
gregory anderson Intern Sender Juice
Course introduction Ekstern Sender Juice
Data scraping for stories Ekstern Sender Juice
Reporting beyond the case numbers: How to brainstorm COVID-19 data story ideas Ekstern Sender Juice
Shahin Babu Intern Sender Juice
Veneeta Singha Intern Sender Juice
How to use Chartbuilder Ekstern Sender Juice
Ivan Picart Intern Sender Juice
Module introduction Ekstern Sender Juice
Wajahat Ullah Intern Sender Juice
For the Great Unnamed Ekstern Sender Juice
The dos and don'ts of predictive journalism Ekstern Sender Juice
Richard Careaga Intern Sender Juice
The Handbook At A Glance Ekstern Sender Juice
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Strategic searching - tips and tricks Ekstern Sender Juice
What Is Data Journalism? Ekstern Sender Juice
Data journalism in disaster zones Ekstern Sender Juice
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The Algorithms Beat: Angles and Methods for Investigation Ekstern Sender Juice
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data 70
journalism 25
journalists 21
course 21
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