Analytics effectiveness and impact depends on two kinds of visualization skills—the ability to create visuals and the ability to understand visuals. However, the real value of visualization does not come from creating visuals, but from understanding what they can tell you. With written language, we learn reading and writing as separate-but-related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct-but-related skills.
There are many books, courses, and other resources that teach you how to develop data visualizations but few that teach you how to read and understand them. This course aims to fill that gap by teaching the core capabilities of understanding and interpreting data visualizations.
You Will Learn
- Ten key concepts of data visualization
- The most important things to look for when reading visualizations
- How to do a quick read of data visualizations
- How to do a critical read of data visualizations
- Approaches for seeing trends, patterns, and outliers in visual presentation of data
- Ways to identify ambiguity, distortion, and bias in visual presentation of data
- Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualizations; data scientists, data analysts, and other analytics providers seeking to enhance their data visualization skills by understanding visualization from the perspective of the readers