MSDS 455-DL Data Visualization.

This course begins with a review of human perception and cognition, drawing upon psychological studies of perceptual accuracy and preferences. The course reviews principles of graphic design, what makes for a good graph, and why some data visualizations effectively present information and others do not. It considers visualization as a component of systems for data science and presents examples of visualizing categorical, hierarchical, relational, temporal, and spatial data. It reviews methods for static and interactive graphics and introduces tools for building web-browser-based presentations. This is a project-based course with programming assignments. Prerequisites: MSDS 400-DL Math for Modelers and MSDS 401-DL Applied Statistics with R.

Although not an elective of the specialization, this course may be of interest to students in Analytics and Modeling.

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