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Bayesian Data Analysis: A Primer

QAC 323
Spring 2021 not offered
Crosslisting: CIS 323
Course Cluster and Certificates: Applied Data Science Certificate

This course introduces the applied principles of Bayesian statistical analysis. The Bayesian paradigm is particularly appealing in research where prior research and historical data are available on parameters of interest. This course will teach students appropriate techniques for analyzing data of this nature as well as broaden computational skills in R. The course will lay the foundation for Bayesian data analysis that students can use to further develop skills in decision making.
Credit: .5 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Laboratory CourseGrading Mode: Graded
Level: UGRD Prerequisites: MATH132 OR ECON300 OR [GOVT367 or QAC302]
Fulfills a Major Requirement for: (CADS)(DATA-MN)(PSYC)

Last Updated on JUN-23-2024
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