Statistical Data Modeling

This course explores data modeling methodologies with the goal of understanding how to choose, apply, and interpret appropriate statistical designs and analyses for practical data problems.

Topics covered include understanding the relationships in the data, theory and application of linear regression models, tree-based models, model building steps, diagnostic of models, and remedial measures.

Students may count one of the following three courses for degree or certificate credit: CSCI E-106, STAT E-109 (offered previously), or STAT E-139 (offered previously).