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Jan 03, 2026
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CEA 4355 - Engineering Data AnalyticsCredit Hours: 3.0
Lecture Contact Hours: 3 Lab Contact Hours: 0
Prerequisite: CEA 4321 ; all prerequisites must be completed with C- or higher.
Description
R programming, structured and unstructured data, big data, data tidying, data visualization and exploratory analysis, regression, unsupervised and supervised machine learning, predictive data modeling, illustrative applications.
Repeatability: No
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