Summary Statistics in Public Health

Coursera Summary Statistics in Public Health

Platform
Coursera
Provider
Johns Hopkins University
Effort
3-4 hours a week
Length
4 weeks
Language
English
Credentials
Paid Certificate Available
Part of
Course Link
Overview
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.

WHAT YOU WILL LEARN
  • Calculate continuous data measures
  • Interpret data visualizations
  • Analyze binary data
  • Analyze time to event data
Syllabus
  1. The Role of Statistics in Public Health Research
  2. Continuous Data Measures
  3. The Normal Distribution
  4. Binary Data
  5. Dealing with the Element of Time
  6. Course Project

Taught by
John McGready, PhD, MS
Author
Coursera
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