In this course, students will analyze various types of medical and healthcare data using advanced analytical techniques. Key topics include healthcare data structures, medical image analysis, text analysis of clinical documents, trial data analysis, claims data, electronic health record (EHR) analysis, wearable device data processing, and health economics.

Students will explore a range of statistical and computational methods, including machine learning, natural language processing, and predictive modeling, to extract meaningful insights from complex datasets. Real-world case studies will be utilized to demonstrate the practical applications of these methods in medicine and public health.

By the end of the course, students will have developed the skills necessary to effectively analyze medical data, interpret results, and apply methodologies across various healthcare domains, enabling them to address pressing challenges in the field.