1.174
Data Science Fundamentals
Introduction to statistical multivariate analysis methods and their applications to analyze data and mathematical models. Topics include sampling, experimental design, regression analysis, specification testing, dimension reduction, categorical data analysis, classification and clustering. Students taking graduate version will complete additional assignments.
Prerequisites & course information
Subject meets with 1.074 Prereq: ( 1.000 and 1.010A ) or permission of instructor G (Fall) 2-0-4 units
Sources
- Course catalogue ↗2026–2027