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Data Visualization: An Introduction


QAC 251
Spring 2018
Section: 01  
Crosslisting: CIS 251
Certificates: Applied Data Science
Course Cluster: Data Analysis Minor

This course will introduce students to the principles and tools necessary to present quantitative information in a visual way. While tables and graphs are widely used in our daily lives, it takes skill to deconstruct what story is being told. It also takes a perceptive eye to know when information is being misrepresented with particular graphics. The main goals of the course are for students to learn how to present information efficiently and accurately so that we enhance our understanding of complex quantitative information and to become proficient with data visualization tools. Beginning with basic graphing tools, we will work our way up to constructing map visualizations and interactive graphs. This course will require a substantial amount of computation in R. No prior programming experience is necessary, but learning does require willingness and time.
Credit: 1 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Laboratory CourseGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (DATA-MN)
Past Enrollment Probability: Less than 50%

Last Updated on NOV-20-2017
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