Advanced Data Visualization

3 Credits · Level: Graduate, Undergraduate

Presenting quantitative information in visual form is an essential communication skill for data professionals. This course introduces representation methods and visualization techniques for complex data, drawing on insights from cognitive science and graphic design. Students will obtain an overview the human visual system, learn to use models for data and for images, and acquire good design practices, using the “grammar of graphics”. Students will use common statistical design tools such as Tableau and the R package ggplot2. Prerequisites: Introduction to Data Analytics, coding experience, knowledge of R. Three credits.