Applied Statistics

This specialization covers using statistical method on real data: design of experiments and analysis of variance, regression and general linear models, categorical data analysis, survey sampling design and estimation, time series analysis and forecasting, multivariate methods, and non-parametric alternatives. The emphasis is on checking assumptions, diagnosing model failure and reporting uncertainty honestly, with work in R or a comparable environment throughout.