Quantitative Methods Course
This course provides hands-on training in quantitative methods for health data analysis, focusing on synthetic dataset creation, statistical testing, regression modeling, survey data handling, and professional reporting of results.

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 synthetic 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 presenting results, limitations, and methodologies in clear, professional reports.
Elevify advantages
Develop skills
- Create synthetic survey datasets: realistic BMI and lifestyle variables, properly documented.
- Perform essential tests efficiently: t-tests, chi-square, Mann-Whitney, and basic regressions.
- Examine public health surveys: incorporating weights, design effects, and appropriate variable choices.
- Present findings clearly: confidence intervals, p-values, and effect sizes for non-expert audiences.
- Develop precise research questions: identifying exposures, outcomes, and confounding factors.
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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