Sampling Course
Master sampling in statistics for real-world studies. Learn to size samples, design stratified and cluster plans, reduce bias, handle nonresponse, and clearly document methods so your survey results are accurate, defensible, and decision-ready.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Sampling Course gives you practical, step-by-step guidance to define target populations, design robust sampling frames, and choose appropriate probability or nonprobability methods. Learn to determine sample size, allocate across strata, handle clustering, and manage nonresponse with weighting and quality controls. You also master clear documentation, ethical requirements, and transparent reporting for confident, defensible results.
Elevify advantages
Develop skills
- Sample size design: compute efficient n with margins, confidence, and design effects.
- Stratified plans: build strata, allocate optimally, and use benchmarks fast.
- Practical sampling: apply SRS, cluster, and multi-stage designs to shopper data.
- Bias control: cut nonresponse and measurement bias with field and weighting tactics.
- Clear sampling reports: document, justify, and present designs for expert stakeholders.
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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