Quantitative Methods Course
Master core quantitative methods for public health data. Learn to build reproducible synthetic datasets, run and interpret tests and regression, handle survey design, and clearly communicate statistical results to decision-makers.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
The Quantitative Methods Course gives you 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 Differentials
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course