Statistical Data Modeling
Harvard Extension School
CSCI E-106
Section 2
CRN 26017
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: January 22, 2026
Credits: 4
View Tuition Information Term
Spring Term 2026
Part of Term
Full Term
Format
Flexible Attendance Web Conference
Credit Status
Graduate
Section Status
Open