Hypothesis Test Course
This course equips you to master hypothesis testing using real clinical survey data. Learn to clean datasets, verify assumptions, perform robust statistical tests like t-tests and ANCOVA, control for confounders, and create reproducible workflows in R, Python, and Excel. Transform results into executive-ready visuals and summaries for data-driven decisions.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain practical skills to conduct reliable hypothesis tests on clinical survey data and present findings confidently. Master data cleaning, exploration, assumption checks, test selection, robust alternatives, automated reporting, clear communication, and reproducible analyses trusted by decision-makers.
Elevify Advantages
Develop Skills
- Conduct clinical hypothesis tests including t-tests, confidence intervals, and nonparametric methods swiftly.
- Diagnose assumptions such as normality, variance equality, clustering, and test robustness.
- Control confounding with ANCOVA, regression, and stratified analyses.
- Develop reproducible pipelines in R, Python, and Excel for survey data processing.
- Produce executive reports with clear visuals and summaries from test results.
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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