About This Course
Data visualization is both art and science. The field encompasses topics like communication, psychology, statistics and design. This course introduces you to the theory of data visualization in a practical manner and prepares you to apply it in advanced courses by examining key design theories, methods and applications.
What You’ll Learn
- The principles of visual cognition and perception, and how they affect data visualization
- Design patterns that support various types of analysis, including time series, comparisons, relationships, ratios, deviations, multivariate and spatial
- The fundamentals of statistics
- Methods for choosing and designing charts that communicate data effectively and efficiently
- How to choose the right tools to prepare data sets for visualization with an introduction to techniques like blending, joining and data cleaning
Get Hands-On Experience
- Apply the concepts you learn to create visualizations in weekly assignments
- Create and present a persuasive and concise final data visualization project tying together your learnings from the course
