Investigative Reporting with Data
( 30 Modules )

Module #1
Introduction to Investigative Reporting
Overview of investigative reporting, its importance, and the role of data in investigative journalism

Module #2
Finding Story Ideas
Generating ideas for investigative stories, identifying potential sources, and creating a pitch

Module #3
Researching and Gathering Information
Conducting interviews, searching online databases, and collecting documents for investigative reporting

Module #4
Introduction to Data Journalism
Understanding the basics of data journalism, including data types, sources, and cleaning

Module #5
Working with Spreadsheets
Using spreadsheet software (e.g. Google Sheets, Excel) to organize, analyze, and visualize data

Module #6
Data Cleaning and Preprocessing
Identifying and handling errors, inconsistencies, and missing values in datasets

Module #7
Data Analysis with Statistics
Applying statistical concepts (e.g. mean, median, correlation) to investigative reporting

Module #8
Data Visualization Fundamentals
Creating effective visualizations to communicate insights and tell stories with data

Module #9
Storytelling with Data
Using data to develop a narrative, identify patterns, and create compelling stories

Module #10
Advanced Data Analysis with SQL
Using SQL to query, manipulate, and analyze large datasets

Module #11
Web Scraping and APIs
Extracting data from websites, working with APIs, and handling data from online sources

Module #12
Geographic Information Systems (GIS) and Mapping
Using GIS and mapping tools to analyze and visualize spatial data

Module #13
Social Network Analysis
Analyzing relationships and networks to uncover hidden patterns and connections

Module #14
Dealing with Big Data
Handling large datasets, working with distributed computing, and using data processing frameworks

Module #15
Ethics and Responsibility in Investigative Reporting
Considering ethical implications, avoiding bias, and ensuring accuracy in investigative reporting

Module #16
Collaboration and Teamwork
Working effectively with editors, developers, and other stakeholders on investigative projects

Module #17
Safety and Security Considerations
Protecting yourself and your sources from surveillance, hacking, and other online threats

Module #18
Writing and Presenting Investigative Stories
Crafting compelling narratives, writing for different formats, and presenting findings to audiences

Module #19
Getting Your Story Out There
Pitching stories, working with editors, and promoting your investigative work

Module #20
Case Studies:Successful Investigative Reporting with Data
Analyzing award-winning investigations, learning from successes and challenges

Module #21
Trends and Future of Investigative Reporting
Emerging tools, techniques, and opportunities in investigative reporting and data journalism

Module #22
Practical Exercise:Finding and Analyzing Data
Guided exercise to find, clean, and analyze a dataset for an investigative story

Module #23
Practical Exercise:Visualizing Data
Guided exercise to create effective visualizations for an investigative story

Module #24
Practical Exercise:Writing an Investigative Story
Guided exercise to write a compelling narrative based on data analysis

Module #25
Final Project:Investigative Story with Data
Applying course skills and knowledge to a real-world investigative project

Module #26
Peer Review and Feedback
Receiving and providing feedback on final projects, learning from peers

Module #27
Advanced Data Analysis with R or Python
Using programming languages for data analysis, visualization, and machine learning

Module #28
Working with Databases and Data Warehouses
Designing, building, and querying databases for investigative reporting

Module #29
Using Machine Learning for Investigative Reporting
Applying machine learning techniques to uncover patterns and insights in data

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Investigative Reporting with Data career

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Investigative Reporting with Data ( 30 Modules )

Investigative Reporting with Data
( 30 Modules )