Hypothesis Test Course
Master hypothesis testing using real clinical survey data. Clean and explore datasets, test assumptions, run robust statistical tests, and create clear, manager-ready insights to drive confident data-based decisions in clinical settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a quick, practical guide to conducting reliable hypothesis tests on clinical survey data and presenting results confidently. Learn to clean and explore data, verify assumptions, select suitable tests, use robust methods when needed, automate reports, and produce reproducible analyses trusted by decision-makers.
Elevify advantages
Develop skills
- Clinical hypothesis testing: run t-tests, CIs, and nonparametric checks swiftly.
- Assumption diagnostics: verify normality, variance, clustering, and robustness.
- Confounding control: apply ANCOVA, regression, and stratified clinic analyses.
- Reproducible workflows: build R, Python, and Excel pipelines for clean survey data.
- Executive reporting: turn test outputs into clear, manager-ready visuals and summaries.
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 are saying
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