What Makes this Course Stand Apart?

  • An explanation of the theory provides guidance in creating visualizations rather than a cookbook; approach which cannot fit all situations.
  • A focus on communicating creates results that are more effective in explaining the data.
  • Ample examples and a reference list that can be used to further explore the topic after class.
  • In-class practice with opportunities to critique work.
  • Experimenting with a variety of visualization tools.

What You Will Learn

  • Upon completion of this course you will be able to:
  • Apply a set of data visualization principles that maximize the ability to use numbers to tell a story.
  • Match a Data Type to its best visualization attribute.
  • Utilize a process to critique and refine visualizations.

Audience

  • Business Analyst (IT and non-IT)
  • Project Leaders/Project Managers
  • Systems Analyst
  • Data Analyst

Prerequisites

The structure of the courses assumes no prior experience in statistics or data analytics. 

Duration:

1 day

Outline for Data Visualizations - Communicating Numbers Effectively

1. Background

  • Introduction to Visualizations
  • Theoretical Foundations of Visualizations
  • Understanding visual perception
  • How visualizations work
  • Categories of Data Visualizations
  • How to Tell Stories with Visualizations

2. Visualization Types and Purposes

3. A Design Methodology

4. Visualization Design Options

  • Chart types
  • Plot types
  • Time-series
  • Data-at-rest, data-in-motion
  • Maps

5. Tools for Visualizations