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 and non-linear regression models, model building steps, diagnostic of models, and remedial measures. Students can count one of the following three courses—CSCI E-106, STAT E-109, or STAT E-139 (offered previously)—toward a degree or certificate.
Registration Closes: August 28, 2024
Credits: 4
View Tuition Information Term
Fall Term 2024
Part of Term
Full Term
Format
Flexible Attendance Web Conference
Credit Status
Graduate
Section Status
Open