Introduction to Data Journalism
( 30 Modules )

Module #1
Introduction to Data Journalism
Overview of the field and its importance in modern journalism

Module #2
What is Data Journalism?
Defining data journalism and its key characteristics

Module #3
The Data Journalism Workflow
Understanding the process of finding, cleaning, analyzing, and presenting data

Module #4
Finding Data Sources
Exploring government databases, APIs, and other sources of data

Module #5
Cleaning and Preparing Data
Understanding data formats, dealing with missing values, and data normalization

Module #6
Introduction to Spreadsheets
Basic spreadsheet skills for data journalists, including formulas and functions

Module #7
Data Analysis Basics
Summary statistics, data visualization, and basic statistical concepts

Module #8
Data Visualization Fundamentals
Principles of effective data visualization and common chart types

Module #9
Working with Maps
Using geographic data to tell stories and create interactive maps

Module #10
Scraping and Crawling Data
Using web scraping and crawling techniques to collect data

Module #11
Advanced Data Analysis
Regression analysis, correlation, and clustering methods

Module #12
Working with APIs
Using APIs to collect and analyze data from social media, government, and other sources

Module #13
Storytelling with Data
Using data to tell compelling stories and create narratives

Module #14
Data Journalism Ethics
Considering the ethical implications of data journalism and data visualization

Module #15
Collaborative Data Journalism
Working with others on data journalism projects and managing team workflows

Module #16
Publishing and Sharing Data Stories
Best practices for publishing and sharing data stories online

Module #17
Advanced Data Visualization
Creating interactive and dynamic data visualizations using D3.js and other tools

Module #18
Data Journalism Tools and Resources
Exploring the latest tools and resources for data journalists

Module #19
Case Studies in Data Journalism
Real-world examples of successful data journalism projects

Module #20
Data Journalism in Practice
Hands-on exercises and projects to apply data journalism skills

Module #21
Overcoming Common Challenges
Troubleshooting common issues in data journalism and finding solutions

Module #22
Data Journalism for Specific Beats
Applying data journalism skills to specific reporting beats, such as politics or education

Module #23
Data Journalism and Investigative Reporting
Using data journalism techniques for in-depth investigative reporting

Module #24
Data Journalism and Non-Profit Organizations
Collaborating with non-profits to tell data-driven stories

Module #25
Data Journalism and Academic Research
Using academic research and data to inform journalism and storytelling

Module #26
Data Journalism and Social Media
Using social media to promote and share data stories

Module #27
Data Journalism and Virtual Reality
Using VR to create immersive data-driven experiences

Module #28
Data Journalism and Podcasting
Using podcasting to tell data-driven stories and explore complex topics

Module #29
Data Journalism and Online Communities
Building online communities around data-driven stories and topics

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Introduction to Data Journalism career

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Introduction to Data Journalism ( 30 Modules )

Introduction to Data Journalism
( 30 Modules )