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This course introduces the foundational concepts and methods of epidemiology and biostatistics used to study health and disease in populations. The first half of the course covers epidemiology concepts including measures of disease occurrence, study designs, measures of association, and causal inference. The second half covers biostatistics concepts ranging from probability and distributions to hypothesis testing and regression, with R programming introduced to analyze real public health data. No prior statistics or programming background is required. Students should leave this course able to interpret health data critically and understand how epidemiologic reasoning informs decisions in medicine, public health, and policy.