DSC 311 Data Analytics and Visualization (3 credits)

Hours: 3 classroom + 0 lab/studio
Prerequisite(s): C- or better in DSC 200 and STA 250 .
Taught: Spring only
Data analysis process; exploratory data analysis; selection of descriptive analytics techniques; identification of important attributes; development of derived attributes; presentation of data analysis results; the data visualization process; design principles and techniques for visualizing data; visualization techniques for geospatial data; visualization techniques for multivariate data; network visualization; designing effective visualizations.
Repeatable: No
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inside NKU

DSC 311 Data Analytics and Visualization (3 credits)