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

from 4 to 360h flexible workload
valid certificate 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 efficiently.
- 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 clear executive reports with visuals and summaries from test results.
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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