This course introduces students to both theories and applications of statistical methods. Students will learn the core concepts of statistical learning for data analysis, while working hands-on with real data using Python and interactive notebooks. The topics include data science lifecycle, data ingestion and manipulation, basic descriptive statistics, standard parametric statistical models, linear regression, classification, and tree-based models.
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