Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
This course is part of the Biostatistics in Public Health Specialization
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About this Course
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Skills you will gain
- Statistics
- Normal Distribution
- summary measures
- binary data
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
The Role of Statistics in Public Health Research
Continuous Data Measures
The Normal Distribution
Binary Data
Dealing with the Element of Time
Course Project
Reviews
- 5 stars83.10%
- 4 stars14.51%
- 3 stars1.62%
- 2 stars0.29%
- 1 star0.46%
TOP REVIEWS FROM SUMMARY STATISTICS IN PUBLIC HEALTH
I am grateful for having the oppurtunity to access and learn from Dr John McGready. He was instrumental in helping me relate seemingly arbitrary mathematical constructs to real life
I am glad to learn a lot of terms in statistics and how to use and interpret them in the context of Public Health researches. The Instructor provided enough examples to understand the lessons better.
This is a good and enticing introduction for the rest of the Coursera Specialization where it belongs. For added value, consider taking this course with a biostatistics textbook for better retention.
I found this course really useful. It actually made you do work and it wasn't necessarily easy to pass the end of module content, which I feel made the course so much more valuable. Highly recommend.
About the Biostatistics in Public Health Specialization

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