Who should attend
- Medical professionals
- Undergraduates or postgraduates considering careers in data science, epidemiology, or statistics
- Health and science journalists
- Data scientists with an interest in biomedicine
About the course
Statistical methods have enabled us to answer some of the most pressing questions facing humanity. In the field of medicine the ability to ask the right research questions and interpret data is an essential skill, whether you are a physician, researcher, data scientist, or journalist. The Medical Statistics professional certificate uses real-world examples from medical literature and the popular press to introduce statistical concepts and techniques commonly utilized in medical research.
You Will Learn
- How to analyze, interpret, describe, and visualize data
- Basic programming in R or SAS
- Foundations of probability and statistical inference
- Statistical tests and graphics used in medical research
Earning the Certificate
You can earn the Stanford Medical Statistics Certificate of Achievement by successfully completing the three required courses. You can enroll in courses individually or complete them through the All-Access Plan.
All-Access Plan - 365 days to access course materials, video lectures and assignments, and exams. You can take courses in any order, sequentially or simultaneously, and move freely in and out of all courses in the program. Complete all three courses within one year and earn a certificate.
Time to Complete Certificate
You should expect to spend 20-22 hours to complete each course, depending on your familiarity with the topic.
For individual courses, we recommend that you designate 3-4 hours per week to watch video lectures and complete assignments in order to finish within 60 days.
Since the All-Access Plan allows you to access all courses for one year, you can determine how quickly to progress, but you must complete courses with 365 days in order to receive credit.
Continuing Education Units (CEUs)
You will earn 2 Continuing Education Units (CEUs) for each course completed within this certificate program. CEUs cannot be applied toward any Stanford degree. CEU transferability is subject to the receiving institution’s policies.
- Medical Statistics I: Introduction to Data Analysis and Descriptive Statistics
- Medical Statistics II: Probability and Inference
- Medical Statistics III: Common Statistical Tests in Medical Research
Kristin Sainani (née Cobb) is an associate professor at Stanford University and also a health and science writer. After receiving an MS in statistics and a PhD in epidemiology from Stanford University, she studied science writing at the University of California, Santa Cruz. She has taught statist...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.