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This course provides a foundational introduction to the principles, methods, and applications of data science in biomedical research. Key topics include data preprocessing, statistical analysis, machine learning, data visualization, and ethical considerations in biomedical data science. The course emphasizes hands-on experience with real-world biomedical datasets using programming tools such as Python. By the end of the course, students will be equipped with the skills to analyze, interpret, and present data-driven insights in biomedical and healthcare domains.