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Data Storytelling

Course Summary

The Data Storytelling training course teaches participants how to effectively find and communicate insights in data, with a focus on context, design, communication, and automation. Class will include time for working with your own data to make improvements and create more impactful data-driven narratives.

The course begins with students learning how to understand stakeholders, their needs and use cases, how to obtain context and know what questions to answer, and how to tie analyses back to key business outcomes. Next, the course data visualization best practices and analyzing time series data. The course concludes with formatting and presentation.

Purpose
 Learn how to identify the right context for analysis, perform the analysis and tell a story to drive action.
Audience
 Students with prior experience working with data visualization and corporate reporting.
Role
Business Analyst - Data Engineer - Data Scientist - Software Developer - Technical Manager - Web Developer
Skill Level
Introduction
Style
Learning Spikes - Workshops
Duration
2 Days
Related Technologies
Tableau

 

Productivity Objectives
  • Understand how to get the right context for any analysis.
  • Determine what kinds of analyses to do.
  • Explain common pitfalls of data visualization and storytelling.
  • Master best practices of data visualization and storytelling.

What You'll Learn:

In the Data Storytelling training course, you'll learn:
  • Understanding stakeholders and their needs and use cases
  • Obtaining context and knowing what questions to answer
  • Tying analyses back to key business outcomes
  • Common pitfalls of data visualization
  • Best practices of data visualization
    • How to avoid a "data puke" and create graphs that communicate insights
    • How to use data, charts, and dashboards to help drive change and action across the company by designing for understanding.
  • Creating better tables
  • Analyzing time series data
    • Time series with averages
    • Moving Averages
    • Cumulative Charts
    • Cycle Plots
    • Control charts to identify outliers
      • Basic
      • Advanced
    • Using regression and confidence intervals to look for outliers
    • Using changepoint detection
  • Formatting and Presentation
    • Using color to effectively call out insights and not be distracting
    • Color blind safe colors
    • Maximizing "data-to-ink" ratio
    • Reviewing the "high impact data visualization checklist"
  • Adding written context to charts to better communicate insight and impact
  • Including Recommended Actions or Insights
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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By filling out this form and clicking submit, you acknowledge our privacy policy.