Data Journalism and Visualization: Telling Stories with Data

Course Description

This intensive 5-day course equips journalists with essential skills in data analysis and visualization. Participants will learn to find, clean, and analyze datasets, create compelling visualizations, and craft data-driven stories. The course combines theoretical knowledge with hands-on practice using industry-standard tools and techniques.

Learning Objectives

• Develop proficiency in finding and cleaning datasets for journalistic use
• Master basic data analysis techniques using spreadsheets and statistical tools
• Create effective data visualizations using various chart types and mapping tools
• Craft compelling narratives that integrate data analysis and visualization
• Understand ethical considerations in data journalism and visualization

Course Modules

Day 1: Introduction to Data Journalism

• Overview of data journalism principles
• Finding and evaluating data sources
• Basic data cleaning techniques
• Introduction to spreadsheet analysis

Day 2: Data Analysis Fundamentals

• Advanced spreadsheet functions
• Basic statistical concepts for journalists
• Identifying trends and patterns in data
• Introduction to SQL for data analysis

Day 3: Data Visualization Principles

• Fundamentals of data visualization design
• Choosing appropriate chart types
• Introduction to data visualization tools
• Creating basic charts and graphs

Day 4: Advanced Visualization Techniques

• Interactive visualizations
• Mapping and geospatial data visualization
• Data dashboards and storytelling
• Accessibility and mobile considerations

Day 5: Data-Driven Storytelling

• Integrating data into narrative structures
• Writing effective data-driven stories
• Ethics in data journalism
• Final project: Creating a data-driven story

Practical Wins for Participants

• Ability to find, clean, and analyze datasets for journalistic use
• Proficiency in creating compelling data visualizations
• Skills to craft data-driven stories that engage audiences
• Understanding of ethical considerations in data journalism