Quantitative Methods Course
This course provides hands-on training in quantitative analysis for health data, focusing on statistical testing, regression modeling, and survey data handling to support evidence-based public health research.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Quantitative Methods Course equips you with practical skills to create reproducible sample datasets, select and perform suitable statistical tests, and apply basic regression models using real-life health data such as BMI and lifestyle elements. You will gain knowledge on handling key survey resources, using design-based approaches, understanding confidence intervals and p-values, and effectively presenting results, limitations, and methodologies in clear, professional 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.
- Analyse public health surveys: weights, design effects, and valid variable selection.
- Summarise 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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