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Course Outline
Introduction to Data Storytelling
- What is data storytelling and why it matters
- Elements of effective stories: narrative, visuals, data
- Common use cases in public and corporate settings
Understanding the Audience and Context
- Who is your audience and what do they need?
- Designing for technical vs. non-technical stakeholders
- Setting the tone: persuasive, explanatory, exploratory
Choosing the Right Visuals
- When to use bar charts, line graphs, scatter plots, and more
- Common missteps in visual encoding
- Color, layout, and hierarchy in storytelling
Structuring the Narrative
- Defining the “so what” of your data
- Storyboarding and visual sequencing
- Using annotations and visual cues
Practical Tools and Techniques
- Excel, Power BI, Tableau, Google Data Studio basics
- Slide-based and dashboard-based storytelling
- Using templates and reusable structures
Workshop and Critique
- Group analysis of example stories
- Before-and-after visual transformations
- Peer feedback on draft storyboards
Summary and Next Steps
Requirements
- An understanding of basic data visualization principles
- Experience working with charts, graphs, or dashboards
- Familiarity with spreadsheets or visualization tools
Audience
- Data analysts
- Public sector communicators
- Policy advisors and managers who interpret data
14 Hours
Testimonials (3)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location
