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Domain

Interactive journalism training across Canada

journalism intermediate 6 weeks 01/13/26

Data Journalism Methods

Data Journalism Methods

Course Outline

  1. Data Acquisition and Cleaning
    Finding Data Sources
    Government portals, FOI requests, and public database navigation
    Cleaning Techniques
    Dealing with inconsistent formats, missing values, and combining datasets
  2. Analysis Fundamentals
    Spreadsheet Skills
    Advanced Excel and Google Sheets functions for journalistic analysis
    Basic SQL
    Querying databases and working with large datasets efficiently
  3. Statistical Literacy
    Common Measures
    Understanding means, medians, percentiles, and when each matters
    Avoiding Mistakes
    Recognizing misleading statistics and correlation traps
  4. Visualization Principles
    Chart Selection
    Choosing appropriate visualizations for different data types
    Design Basics
    Creating clear, accurate graphics that enhance understanding
  5. Story Development
    Finding the Angle
    Identifying newsworthy patterns and formulating story questions
    Methodology Transparency
    Explaining your analysis process to readers and editors
Includes three complete data journalism projects from data acquisition to publication-ready piece

Numbers tell stories, but only if you know where to look. Data journalism is not about being a statistician. It is about asking the right questions of datasets and finding newsworthy patterns that traditional reporting might miss.

This approach focuses on practical skills with tools like Excel, Google Sheets, and basic SQL. You will learn how to clean messy government data, spot outliers, and visualize findings in ways that make sense to general audiences.

Real Newsroom Workflows

We work with actual datasets from public sources: crime statistics, budget documents, health records, and election results. You will practice the same workflows data journalists use daily, from initial data requests to final interactive graphics.

The methodology covers common pitfalls: misleading averages, correlation versus causation, and how to avoid cherry-picking data to fit predetermined narratives. You will also learn when to bring in experts and how to explain methodology to readers without boring them.

Projects include analyzing local government spending, mapping demographic changes, and tracking trends over time. The goal is producing publishable work that meets professional standards.