
edXHealthcare generates mountains of data. This course teaches you to extract meaning from patient outcomes, research findings, and operational metrics using practical statistical methods.
The curriculum starts with data organization and visualization, moves through descriptive measures, then introduces probability and hypothesis testing for evaluating whether observed differences are real or random variation. You'll learn sampling techniques for drawing population conclusions from limited data—a constant reality in healthcare.
Designed for clinicians, nurses, researchers, and health administrators who need statistics literacy without heavy mathematics. A practical foundation for interpreting medical literature, designing studies, and making data-informed decisions.
Organize and summarize data using appropriate tables, charts, and descriptive statistics. ,Calculate and interpret measures of central tendency, including the mean, median, and mode. ,Explain basic probability concepts and apply them to model uncertainty in real-world situations. ,Describe and implement sampling techniques for drawing conclusions from populations. ,Conduct and interpret statistical hypothesis tests, including tests for means and proportions.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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