Data Science Curriculum Graph & Prerequisite Navigator

Math Foundations

Probability & Distributions

Statistical Inference

Machine Learning

Time Series & Econometrics

Applied Specializations

36 Core Nodes • Trace: Linear Regression • Direct Upstream: 3

Conceptual Overview

Fitting optimal linear parameters minimizing squared residuals using ordinary least squares (OLS) and normal equations.

Direct Prerequisites (Must know first)

Downstream Capabilities (Enables next)

Practical Application in Industry

Serves as the foundational baseline model in econometric attribution, demand elasticity forecasting, and causal pricing models.