Biostatistics Courses and Certifications

Simple Regression Analysis in Public Health

391 ratings at Coursera

Use simple regression on real health studies: fit linear, logistic, and Cox proportional hazards models and interpret confounding, adjustment, and effect modification.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Multiple Regression Analysis in Public Health

331 ratings at Coursera

Extend simple regression to multiple predictors: fit and interpret multiple linear, logistic, and Cox regression, adjustment, splines, and effect modification on published health study data.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Analysis for Life Sciences

Learn how to analyze life sciences data using the R programming language.

• edX
• 16 weeks, 2-4 hours a week
• Self-Paced
• $788.00
• 4 courses

NPTEL;  National Institute of Epidemiology

Health Research Fundamentals

22 ratings

Learn the fundamentals of epidemiology, biostatistics, and study design for biomedical and health research involving human participants.

• YouTube
• 8 hours
• Self-Paced
• Free Video

Medical statistics

17 ratings at OpenLearn

This free course is concerned with some of the statistical methods used in epidemiology and more widely in medical statistics. Section 1 introduces cohort studies in which individuals are ...

• OpenLearn
• 16 hours
• Self-Paced
• Free Certificate

MD Anderson Cancer Center

CERTaIN: CER/PCOR Methods: Introduction

1 rating

Learn the fundamentals of comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods and data analysis strategies.

• edX
• 3 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Introduction to Systematic Review and Meta-Analysis

6 ratings

Learn to conduct systematic reviews of clinical trials: frame questions with PICO, search for evidence, extract data, assess risk of bias, and interpret meta-analyses.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

IIT Madras;  NPTEL

Statistics for Biomedical Engineers

Learn biostatistics for biomedical research through probability, inference, regression, ANOVA, and experimental designs for health studies.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

Medical Statistics

This course will cover a range of important topics, including basic statistical concepts, statistical description of quantitative and qualitative data, sampling distributions, parameter estimation, and the principles and methods of hypothesis testing.

• XuetangX
• Self-Paced
• Free Online Course

Medical Statistics

An introductory medical statistics course covering inference, regression, experimental design, and statistical methods for health professionals.

• XuetangX
• Self-Paced
• Free Online Course

What is Statistical Significance? Clinical Trials Explained - Medical Software Course

Discover the true meaning of statistical significance in clinical trials, exploring hypothesis testing, p-values, t-tests, and how sample size impacts conclusions.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Epidemiology & Biostatistics – USMLE Prep Videos

7 ratings

Medical students learn to measure disease, assess risk, and interpret study data for evidence-based clinical decisions.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Medicosis Perfectionalis

Biostatistics and Epidemiology - Comprehensive Statistics Course

Master biostatistics fundamentals from descriptive statistics to advanced epidemiological measures including sensitivity, specificity, odds ratios, and survival analysis.

• YouTube
• 11 hours 37 minutes
• Self-Paced
• Free Video

NIH Clinical Center

Study Design Part 2 - Statistical Considerations in Preparing Your Research Protocol - Lecture 3

Explore statistical considerations for study design, including sample size, power analysis, and data analysis planning for clinical and translational research.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Medicosis Perfectionalis

Number Needed to Harm (NNH) - Absolute Risk Increase (ARI) - Attributable Risk (AR) - Statistics

Understand Number Needed to Harm (NNH), Absolute Risk Increase (ARI), and Attributable Risk (AR) concepts essential for interpreting clinical trial data and medical statistics.

• YouTube
• 17 minutes
• Self-Paced
• Free Video