The University of Texas Rio Grande Valley

STAT 5301 Statistical Data Analysis

STAT 5301 provides students with practical experience in various statistical methods useful in modern biological data analysis including Linear and Logistic Regressions, Bootstrap Methods; Multivariate Data Reduction Techniques (Factor Analysis, Principal Component Analysis); Canonical Correspondence and Multidimensional scaling (MDS) analyses; Data Mining techniques including regression trees with Random Forest, K-means Clustering and Resampling Methods; and Introduction  to Bayesian Analysis. 

Credits

3

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

School of Mathematical & Stat

Offered

As scheduled