Foundation of Healthcare Programming with Python and R

1 Unit · Graduate

This course introduces students to the foundational programming and data management skills required for modern health data analytics using both Python and R. Students will learn how to acquire, clean, transform, and manage healthcare and biomedical datasets while developing confidence in writing, reading, and interpreting code for real-world health applications. In practice, healthcare data teams often use both Python and R. Python is commonly used in modern data engineering and AI/ML workflows, while R is widely used in research and statistical analysis environments. This course builds foundational skills in both so students can work across a wider range of healthcare, research, and industry settings. Emphasis is placed on data cleaning, wrangling, and reproducible workflows—the core building blocks of any analytics pipeline. While basic exposure to visualization and statistical concepts may be included, the primary focus will be on applied programming, data quality, and interpretation rather than advanced analytics. The course introduces the responsible use of Generative AI to support programming, debugging, and documentation tasks.