This course introduces basic statistical principles, methodology and computational tools needed in performing data analysis. The topics of the course include parametric models, sufficiency principles, estimation methods, liner models, quantile estimations, nonparametric curve estimation, resampling methods, statistical computing and hypothesis testing.