MATH 287: Elements of Data Science

Program
Credits 3
Attributes
Natural Sciences Division,
Pre-req
This course provides students with a fundamental introduction and applications of tools and techniques needed for successfully making effective conclusions from data. Tools such as excel, R and tableau and techniques including linear regression, correlation matrix, and algorithms such as Bayesian methods, decision trees, dimension reduction will be discussed.