Data Visualization for Engineering Managers

Catalog description

Students learn best practices for presenting discoveries and 'calls to action' that are the primary aims of business data analysis. Learning about human visual perception, in particular the science of how choice of color, form, and other design elements can assist pre-attentive information processing. Origins of modern data-visualization in the pre-computer age are considered, starting with the use of overlay maps, and Galton's Quincunx and Correlation Diagram. Students learn to recognize the most commonly utilized types of data-visualization metaphor, as well as rules of thumb for various types of data analysis. No prior software experience required.