Quantitative Methods Course
This course provides hands-on training in quantitative analysis for health data, focusing on statistical testing, regression modeling, and effective reporting using real-world survey datasets.

flexible workload of 4 to 360h
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 in handling key survey data sources, using design-based approaches, understanding confidence intervals and p-values, and effectively sharing results, limitations, and methods in clear, quality reports.
Elevify advantages
Develop skills
- Create synthetic survey datasets: realistic BMI and lifestyle variables, properly documented.
- Perform essential tests quickly: t-tests, chi-square, Mann-Whitney, and basic regressions.
- Examine public health surveys: incorporating weights, design effects, and appropriate variable choices.
- Present results clearly: confidence intervals, p-values, and effect sizes for non-expert audiences.
- Develop precise research questions: identifying 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 workloadWhat our students say
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