Enrollment options

Introduction to Data Visualization

Data visualizations make data easier to understand for people like policy makers, journalists, and community members. This training provides an introduction to data visualization, why it is important in public health, and how to identify the proper type of visualization for the data you’re examining through examples and scenario-based exercises.

Learning Objectives: 

  • Define data visualization 
  • Discuss why data visualization is important for public health
  • Identify various settings and styles of data visualizations
  • Identify types of data visualizations and when to use each one

Target Audience: Public health professionals, public health students, health departments

Duration: 1 hour

Continuing Education Information:  1.0 Category 1 CHES Credit, 1.0 Continuing Competency Credits

CHES Provider number:  99036

Format:  Web-based Training, Self-Study 

Created/Updated: May 2021

Author(s): Caitlin Meyer Krause, MPH

Arranged by:  Caitlin Meyer Krause, MPH

Disclosures:  The planners, reviewers, and authors have no declared conflicts of interest 

Skill Level: Advanced
CHES Event ID#: SS99036_IDV
Category 1 Credits: 1.0
Continuing Competency Credits: 1.0
Advanced Credits: 0
Activity #: 164390
Performance Indicators: 11.2.9, 2.1.3, 2.1.4, 2.1.8
RD Total Credits: expired
Level 1: No
Level 2: Yes
Level 3: No
Primary Tier: Tier One
Secondary Tier: Tier Two
Primary Domain: Data Analytics and Assessment Skills
Secondary Domain: Community Partnership Skills
Self enrollment (Student)
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