Based on “Introduction of Statistics,” this course will enhance student’s understanding of the theories and practices of data science and develop the following statistical abilities: discovering the problems of the current status, hypothesizing and building the models based on data, and verifying them. It will focus on applicative topics of linear models (model selection, logistic regression, and generalized linear model etc.) and the various methods of multivariate analyses such as principal component analysis, discriminant analysis, variance analysis, factor analysis, cluster analysis, and tree-model.