Medical Statistics I: Introduction to Data Analysis and Descriptive Statistics

How many millennials are contracting COVID-19 compared to Gen Z? Which ethnic group has the highest rate of childhood obesity? Are certain regions of the country more likely to develop cancer than others?

In this course, you will learn how to read, interpret, and critically evaluate statistics through examples from medical literature and popular press, and be able to apply it to your own real-world inquiries. By learning how to identify and define data points, you will be able to avoid common statistical pitfalls while conducting medical research and interpreting health discoveries.

  • Understand basic study designs and measurements of disease frequency
  • Comprehend and describe different types of data
  • Perform basic data analysis using either programming language R or SAS


In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

Credit Designation 
American Medical Association (AMA)

Stanford Medicine designates this Enduring Material for a maximum of 13.00 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

View the full accreditation information HERE from Stanford Medicine

Course Page
Online, self-paced
20-22 Hours
Medical Statistics Program
Stanford School of Medicine, Stanford Center for Health Education