QNT 330 - Data Visualization

Course Cross-listed with DS 330
3 credit(s)
This course focuses on visualization of qualitative and quantitative data. Emphasis is placed on the mapping of multidimensional data to appropriate coordinate and color space. Introductory data visualization topics are explored in detail including domain, range, dimensionality, missing data and correlation, in additional to more advanced topics like unsupervised learning by visual clustering using linear and non-linear means, as ethics and artistry in concept and presentation. Students engage with a wide variety of publicly available data sources in the process of learning visual communication through manipulation and assembly of the scaled data features.
Prerequisite(s): M 260 or QNT 230, and M 220.

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