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Homepage | DataJournalism.com

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Beskrivning

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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Rubriker

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