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This module is designed to introduce best practices for creating data visualizations.
Activity learning objectives:
Gain concrete strategies that they can easily apply to make data easier to process
Learn about mistakes to avoid in visualizations
As you work through the activities, consider the following questions:
What are your main takeaways from the activity?
How did this activity enhance your knowledge of data visualization best practices?
Where do you see yourself applying this knowledge in your work?
Activities may be completed in any order.
In this 10-part jumpstart, created by Ann Emery (consultant), before and after makeovers from real projects are presented. This resource shares information about data visualization, dashboards, and designing rockstar reports using familiar software programs.
Time Commitment: ~1 hour
Access: Open
This course, created by Amy Balliett (CEO and co-founder of Killer Infographics), presents the ins and outs of creating accurate and compelling data visualizations. Amy focuses on best practices on how to create charts and graphs that combine precision with visual appeal.
Time Commitment: ~1.5 hours
Access: LinkedIn Learning account needed
This course, created by Richie Cotton (curriculum architect), presents strategies to choose the best visualization for datasets. This course also covers best practices for using colors and shapes in plots and how to avoid common pitfalls when designing visuals or creating reports.
Time Commitment: ~1-4 hours
Access: Open (Comparable to Activity 2)
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