Data Storytelling 101

Overview

Learn effective data storytelling techniques to create impactful visual narratives, focusing on key elements like goal-setting, snapshots, and actionable insights for compelling business intelligence presentations.

Syllabus

• Introduction to Data Storytelling
Definition and importance of data storytelling
Overview of course objectives and outcomes
Key components of effective data storytelling
• Understanding Your Audience
Identifying the target audience
Tailoring the narrative to audience needs and preferences
Understanding audience data literacy levels
• Goal-Setting for Data Narratives
Defining clear objectives and KPIs
Establishing the purpose of the data story
Aligning storytelling goals with business objectives
• Crafting the Narrative Structure
Five classic story structures for data narratives
Creating a storyline: introduction, conflict, resolution
Developing a logical flow of information
• Data Preparation and Analysis
Selecting relevant data for storytelling
Using data analysis to uncover insights
Transforming raw data into a coherent story
• Visualizing the Data
Principles of effective data visualization design
Choosing the right charts and graphs for the story
Designing dashboards and infographics
• Crafting Snapshots: Key Data Highlights
Selecting and emphasizing critical data points
Using snapshots to anchor the narrative
Creating powerful visuals to highlight key insights
• Creating Actionable Insights
Translating data insights into business actions
Communicating insights clearly and persuasively
Encouraging data-driven decision-making
• Storytelling Techniques and Strategies
Using metaphors and analogies in data storytelling
Incorporating emotion and empathy
Leveraging multimedia elements for engagement
• Constructing Compelling Presentations
Designing impactful business intelligence presentations
Techniques for effective delivery and audience engagement
Using storytelling to persuade and inspire action
• Case Studies and Real-World Examples
Analyzing successful data storytelling examples
Lessons learned and best practices
Applying course concepts to real-world scenarios
• Tools and Software for Data Storytelling
Overview of data visualization and storytelling tools
Hands-on practice with popular software (e.g., Tableau, Power BI)
Tips and tricks for effective use
• Capstone Project
Designing and delivering a comprehensive data story
Peer review and feedback
Refining skills for professional application

Subjects

Conference Talks