Biostatistics Foundations for Public Health

Public health decisions and medical breakthroughs rely heavily on data, but interpreting complex health statistics can feel overwhelming without the right foundation. This course guides you step-by-step through the core principles of biostatistics, helping you transition from a beginner to a confident data interpreter. You will learn how to read, analyze, and draw valid conclusions from biological and public health data using modern, structured methods. What you'll learn: - Understand fundamental biostatistical concepts, including data types, probability distributions, and hypothesis testing. - Analyze public health data using descriptive statistics and modern graphical representation principles. - Apply estimation techniques, confidence intervals, and p-values to evaluate clinical research findings. - Compare populations using t-tests, ANOVA, and chi-square tests to identify significant health trends. - Interpret linear and logistic regression models to analyze risk factors and health outcomes. - Practice modern reproducible research workflows to ensure transparency and scientific integrity in your reports. The course begins with essential terminology and basic statistical theory before moving into practical data analysis techniques and real-world health scenarios. Through clear written explanations and structured exercises, you will build a solid analytical toolkit without needing any advanced mathematical background. This course is designed for beginners, aspiring public health professionals, and clinical researchers looking for a solid foundation in statistics. Start building your public health analytical skills today.