Statistical Data Modeling
Harvard Extension School
CSCI E-106
Section 1
CRN 17349
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).
Registration Closes: August 28, 2025
Credits: 4
View Tuition Information Term
Fall Term 2025
Part of Term
Full Term
Format
Flexible Attendance Web Conference
Credit Status
Graduate
Section Status
Open