Biostatistics
3 credits | Fully Online | Self-Paced (28 days–6 months)
Course Overview
This course introduces the principles and methods of biostatistics as applied to the health, biological, and social sciences. Students will learn how to design studies, summarize and visualize data, apply probability models, and conduct statistical inference to answer real-world scientific and public health questions. Emphasis is placed on interpreting results, communicating findings clearly, and using statistical software to analyze data. Real datasets from epidemiology, clinical trials, and biomedical research are used throughout the course to develop practical, data-driven decision-making skills.
$630 (Includes registration, textbook, and technology fees)
Learning Outcomes
By the end of this course, students will be able to:
Explain core biostatistical concepts including populations and samples, variability, bias, and uncertainty.
Summarize and visualize data using appropriate descriptive statistics and graphical methods.
Apply probability concepts and distributions commonly used in biostatistics (e.g., binomial, normal, and Poisson).
Critically evaluate published research by assessing study design, statistical methods, and validity of conclusions.
