Hypothesis Test Course
Gain expertise in hypothesis testing using clinical survey data. Learn to clean data, verify assumptions, conduct reliable statistical tests, and produce clear insights for data-driven decisions in clinical settings. This course equips you with practical skills to analyse datasets confidently and present trustworthy results to stakeholders.

flexible workload of 4 to 360h
valid certificate 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 sharing results effectively. You will learn data cleaning, exploration, assumption validation, test selection, robust alternatives, report automation, clear communication, and reproducible analyses trusted by leaders.
Elevify advantages
Develop skills
- Clinical hypothesis testing: perform t-tests, confidence intervals, and nonparametric tests quickly.
- Assumption checking: validate normality, variance equality, clustering, and test robustness.
- Control for confounders: use ANCOVA, regression, and stratified analyses.
- Reproducible analysis: create R, Python, and Excel workflows for survey data.
- Executive communication: convert results into visuals and summaries for managers.
Suggested summary
Before starting, you can change the chapters and the 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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