STAT 211 - Data Science Methods

Lecture Hours: 4
Lab Hours: 0
Credit Hours: 4

Retrieval, cleaning, transformation, and preparation of data for analysis. An introduction to Bayesian statistics and maximum likelihood estimation with an emphasis on computational efficiency for big datasets. Ethics.

Prerequisites: CST 126, MATH 252, and (MATH 243 or MATH 361)