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Data visualization is an important part of analytics. Analytics effectiveness and impact depends on visualization skills of two kinds – ability to create visuals and ability to understand visuals. The real value of visualization does not come from creating visuals, but from understanding what they can tell you. With the language of words 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 people how to develop data visualizations but few that teach how to read and understand them. This course aims to fill that gap by teaching the core capabilities of understanding and interpreting data visualizations.
Part 1: Visual Language
Part 2: Data Visualization Concepts
Part 3: Quick Reading of Data Visualizations
Part 4: Critical Reading of Data Visualizations