Hypothesis Test Course
Gain expertise in hypothesis testing using actual clinical survey data. Prepare data, check assumptions, perform reliable statistical tests, and transform results into straightforward insights ready for management, supporting solid data-driven choices in healthcare settings.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course offers a quick, hands-on guide to conducting reliable hypothesis tests on clinical survey data and confidently sharing your findings. You'll learn to prepare and examine data, validate key assumptions, select the right tests, and use strong alternatives when needed. Master automating reports, explaining results clearly, and creating repeatable, documented analyses that leaders can rely on for decisions.
Elevify advantages
Develop skills
- Conduct clinical hypothesis tests: perform t-tests, confidence intervals, and nonparametric tests efficiently.
- Diagnose assumptions: assess normality, variance equality, clustering, and test robustness.
- Control for confounders: use ANCOVA, regression, and stratified analyses in clinic data.
- Develop reproducible processes: create pipelines in R, Python, and Excel for survey data handling.
- Produce executive reports: convert test results into clear visuals and summaries for managers.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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