About NR 395 WQ2

Graduate topics and material that may eventually develop into a regular course offering.


Winter Session Course; Dates: Jan 4 - Jan 29, 2021; This is a dual-enrollment course that allows for both credit bearing and certificate-based student enrollment; GIS background preferred; Counts towards GST Minor; Open to Degree and CDE students

Section Description

Decisions in our work lives are driven more and more by data. Analyzing this data can reveal patterns and relationships that can be used to better inform decision-makers. One way to present this analysis is through data visualization, which is the graphical representation of information. Visualizations such as charts, graphs, or maps can help make data easier to understand, leading to better decisions. Data-driven decisions could mean the difference between financial success or failure of a business. There are many tools for visualizing data, but without a solid grasp on the fundamentals of graphic design and perceptual theory, visualizations may not convey the intended message. Additionally, without an understanding of data preparation, visuals may lack critical context. This course will introduce students to the fundamentals of data visualization and communication. Students will learn the ways humans use their cognitive and perceptual abilities to comprehend information, the tools and methods needed to create compelling and effective data visualizations, and the ethical and equitable application of these practices. Understanding data preparation, communication, and visualization will better inform your business decisions, increasing your odds of success in this new economy. By the end of the course, the student will be able to: Describe the function of the perceptual system in the comprehension of graphical imagery Design layouts and hierarchy to communicate complex messages Effectively use visual variables such as size, value, texture, color, orientation, and shape to communicate information Create impactful maps and visualizations of large and complex datasets that encourage comparison and visual analysis by the viewer Design ethical visualizations that recognize their production within an existing power system and present data in a fair and equitable way

Course Dates



Online (View Campus Map)

Important Dates

Note: These dates may change before registration begins.

Note: These dates may not be accurate for select courses during the Summer Session.

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Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
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