Quantitative Methods Course
This course equips learners with essential quantitative skills for health research, focusing on data creation, statistical testing, survey analysis, result interpretation, and effective communication.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Quantitative Methods Course provides practical skills to build reproducible example datasets, choose and run appropriate tests, and fit simple regression models using real-world health variables like BMI and lifestyle factors. You will learn to work with major survey sources, apply design-based methods, interpret confidence intervals and p-values, and clearly communicate results, limitations, and methods in concise, high-quality reports.
Elevify advantages
Develop skills
- Build synthetic survey datasets: realistic BMI and lifestyle variables, well documented.
- Run core tests fast: t-tests, chi-square, Mann-Whitney, and simple regressions.
- Analyze public health surveys: weights, design effects, and valid variable selection.
- Summarize results clearly: CIs, p-values, and effect sizes for non-technical teams.
- Formulate sharp research questions: define exposures, outcomes, and confounders.
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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