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IST 5420: Business Analytics and Data Science
Analysis of large business data sets via statistical summaries, cross-tabulation, correlation, and variance matrices. Techniques in model selection, prediction, and validation utilizing general linear and logistic regression, Bayesian methods, clustering, and visualization. Extensive programming in R is expected.
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Time/Day: 01:00 pm - 01:50 pm MWF Prerequisites: : Calculus, Statistics, and Programming knowledge. Units: 3 Course Component(s): Lecture |
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| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | OPEN | 72407 | 1DIS |
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| Learning Management System | Canvas | |||