Analytics, Statistics & Visualization Methods in Health Data Science

Catalog description

This course offers a modern and immersive introduction to analytics, statistics, and visualization methods utilizing Python, SAS, and R programming, tailored for the fast-evolving field of health data science. Through engaging, hands-on projects and real-world applications, students will develop not just a basic understanding of programming but the practical skills to leverage Python, SAS, and R for data manipulation, automation, and collaboration within healthcare settings. This course also emphasizes innovative approaches, including cloud-based coding environments and collaborative tools like GitHub, enabling students to work on team-based projects and share code seamlessly. By the end of the course, students will be able to build functions, automate tasks, and work efficiently in data-driven health research.