Student assistant teaching
Business & Information Tech
301 W. 14th ST
Rolla, MO 65409
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.
Time/Day: 04:00 PM - 06:30 PM M Prerequisites: Calculus, Statistics, and Programming knowledge. Units: 3 Course Component(s): Lecture |
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For live class lectures, you will log in using the Zoom UM System link in Canvas. For accessing class recordings, you will need to contact your instructor directly.
Enrollment Information | ||||
Campus | Delivery Mode | Class Status | Class Nbr | Section |
Distance Education | Online | OPEN | 72585 | 104 |
Course Access Information | ||||
Learning Management System | Canvas |