Course Objective

All students will learn to:

  • Ask questions to get the right context for any analysis
  • Determine which metrics are important and how to analyze, visualize them appropriately
  • Identify common pitfalls of data analysis and visualization
  • Apply best practices of data visualization and storytelling

Communicate insights in a clear, simple way that tells a story to drive action.

Course Outline
  • What keeps the CEO up at night
  • Obtaining context
    • Focus on the why
    • Challenging assumptions
    • Identifying key metrics
    • Tying back to measurable business impacts
  • Exploratory vs. explanatory analysis
    • Digging deeper in your data to find key insights
      • Finding meaning in the noise
      • Summary statistics vs disaggregated exploration
    • Identifying the appropriate audience and how best to communicate to them
      • Best practices of data visualization
      • Common pitfalls of analysis and visualization
  • Using the 5 types of analyses
  • Interpreting charts in context
  • Interpreting summary statistics
  • How to make your work present itself when you aren’t there to explain it
  • How to present your analysis to different types of audiences
A Message From the Head Instructors About This Course

Duration 2 to 4

Manual and supporting materials included



Software Requirements
  • Data Visualization tool, like Tableau or Qlik Sense
  • Microsoft Excel 2010 or later (2013 or later recommended)
  • Internet access

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