You learn how to make better data visualization for your stakeholders, work more effectively with your peers, and enhance your ability to explore your own data.
Author: Elijan Meeks
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DESCRIPTION
The Data Visualization Life Cycle not only teaches you fundamentally useful techniques for making your data visualizations better, but it will also open your eyes to the different data cultures that exist in our modern, data-driven world.
- Understand your audience and the approach you should take to your data visualization
- Optimize data visualizations for different data cultures and points in the life cycle
- Collaborate with others to produce data visualizations
- Manage pain points when working with different data professionals
- Improve data explanation
- Design for different kinds of data products and delivery methods
- Build a data visualization culture and increase data literacy
- Investigate automated and machine-based analysis
- View data visualizations as business assets
WHO IS THIS COURSE FOR:
- Audience: This video series is designed to provide key context and skills for data visualization creators whether they are analysts, data scientists, data engineers or even downstream data consumers and leadership. Youll find the most value in the course if youve learned some fundamentals of data visualization and need more practical advice for how to work with peers and stakeholders to create effective data communication.
REQUIREMENTS
- Working understanding of basic data visualization (knowing when and being able to create bar charts, line charts and scatterplots)
- Experience building data products like dashboards, reports or presentations using data visualization
- Familiarity with the data lifecycle
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