Quantitative Methods Course
This course equips learners with essential quantitative analysis skills for public health research, focusing on data creation, statistical testing, survey analysis, result interpretation, and research question formulation using real-world variables like BMI and lifestyle factors.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Quantitative Methods Course provides practical skills to create reproducible example datasets, select and perform suitable tests, and apply simple regression models using real-world health variables such as BMI and lifestyle factors. You will learn to handle major survey sources, implement design-based methods, interpret confidence intervals and p-values, and effectively communicate results, limitations, and methods in clear, 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 say
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