This course introduces several regression methods used in modern analytics workflows in SAS Viya. Learners explore linear, quantile, logistic, Poisson, Tweedie, generalized additive, mixed, Cox survival, discrete‑time hazard (self‑study), nonlinear, and partial least squares regression. Each method is presented with its primary applications, strengths, and limitations, along with practical demonstrations in SAS Viya. Examples throughout the course highlight use cases in banking, financial services, direct marketing, insurance, telecommunications, and medical research.