This discipline-specific camp focuses on the core methods and data applications of statistics, covering core courses such as sampling techniques, time series visualization and decomposition, statistical machine learning, and nonparametric regression. It is supplemented by practical teaching including the application of regression models, the analysis and applications of large-scale transaction data, and explainable artificial intelligence, and offers special lectures on Monte Carlo sampling and optimization to strengthen the integration of theory and practice.