Course Objective

All students will learn to:

  • Understand the difference between exploratory and explanatory analysis
  • Distinguish between data visualization and data storytelling
  • Learn the data storytelling process
  • Ask the right questions to impact business decisions
  • Choose the appropriate story type for the data story
  • Construct the data story
  • Identify common pitfalls of data analysis and visualization
Course Outline

Part 1: Set Up/Context

  • Understanding the difference between data visualization and data storytelling
  • The data storytelling process overview
    • Question/problem statement/ obtain context
    • Analysis
      • Exploratory to get to Explanatory
    • Select your data story type
    • Sketch
    • Communicate
      • Which storybook (the different ways to communicate your data story) should you use

Part 2: Analysis

  • Exploratory Analysis
  • 5 Types of Analysis

Part 3: Select Your Data Story

  • Seven types of data stories
  • Using secondary characters:

Part 4: Sketch

  • How will this be visually represented?
  • Sketch it out considering:
    • Purpose
    • Audience
    • Rising Action
    • Climax/Peak
    • Conclusion/Ending

Part 5: Communicate

Communicating through story “books”

  • Dashboard
  • Slide deck/Story Points
  • Written/oral report
A Message From the Head Instructors About This Course

Duration 1 to 2
Materials

Manual and supporting materials included.

Prerequisites

All students should have prior experience working with corporate reporting.

Software Requirements

A data visualization tool, such as Microsoft Excel, Tableau, Power BI

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