This course provides a comprehensive introduction to biostatistics and data analysis for public health. Students will learn to manage, describe, analyze data, and draw figures using R and RStudio. Key topics include data acquisition, statistical inference, hypothesis testing, regression models, correlation analysis, and survival analysis. The curriculum blends theoretical foundations with practical application on real-world datasets, preparing students for data-driven research in biomedical sciences.

CILO-1: Apply the core principles and theories underlying biostatistical analysis for advanced study and research. CILO-2: Analyze various data and research questions using biostatistical methods. CILO-3: Integrate different biostatistical tools to implement biostatistical methods in R, enhancing their analytical skills and preparing them for real-world challenges. CILO-4: Analyze and interpret real-world datasets from bio-medicine research by applying learned methods.