Biostatistics in Public Health Course
Master the quantitative methods that drive evidence-based public health practice. This course takes you from foundational statistical concepts to advanced techniques including survival analysis, logistic regression, and meta-analysis. You will work with real health data, interpret results correctly, and communicate findings to both technical and non-technical audiences.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
You will build a complete biostatistics skill set grounded in public health applications. The course covers descriptive statistics, probability distributions, and inferential testing before advancing to regression modeling, survival analysis, and Bayesian methods. You will learn to calculate epidemiological measures such as odds ratios, attributable risk, and age-standardized rates. Spatial analysis and systematic review methods expand your analytical range further. By the end, you will be equipped to design studies, analyze health datasets, and present statistically sound conclusions to stakeholders.
Elevify advantages
Develop skills
- Inferential Statistics Application: Construct confidence intervals and hypothesis tests for population health data.
- Regression Modeling: Build and interpret linear and logistic regression models for epidemiological outcomes.
- Survival Data Analysis: Apply Kaplan-Meier curves and Cox regression to time-to-event health datasets.
- Data Visualization and Reporting: Produce clear statistical summaries and charts for public health decision-makers.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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