DSCI 431
Introduction to Statistical Modeling
Statistical analysis of data and linear models. Exploratory data analysis, graphical data analysis, estimation and hypothesis testing, Bayesian methods, simulation and resampling, linear, multivariate and generalized linear models, model selection and performance evaluation. Prerequisites: DSCI 310 and DSCI 311
Sources
- Course catalogue ↗2026-2027