ADTA 5620 - Applied and Computational Statistics for Data Analytics

3 hours

Introduces fundamental concepts of contemporary statistics with an emphasis on applications and computational methods. Topics include classical inference and related numerical optimization methods; Bayesian inference and Monte Carlo methods for density estimation; jackknife, bootstrap, and related nonparametric methods for assessing statistical accuracy, obtaining linear regression solutions, and performing hypothesis tests; estimation of functions. Focuses on applications of statistical methods to addressing important problems in business, science, and industry.

Prerequisite(s): ADTA 5610, equivalent probability course, or consent of instructor.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $24.70

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