Sampling Course
Gain expertise in statistical sampling for practical research. Master sample sizing, stratified and cluster designs, bias reduction, nonresponse management, and method documentation to deliver precise, justifiable, and actionable survey insights ready for decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course offers hands-on steps to identify populations, create strong sampling frames, and select probability or non-probability approaches. You'll calculate sample sizes, stratify allocations, manage clusters, address nonresponse via weighting, and ensure quality. Gain skills in documentation, ethics, and reporting for reliable outcomes.
Elevify advantages
Develop skills
- Design sample sizes: calculate optimal n using margins, confidence levels, and design effects.
- Develop stratified sampling: form strata, allocate efficiently, and apply benchmarks quickly.
- Implement practical sampling: use SRS, cluster, and multi-stage methods on real data like shopper surveys.
- Control biases: reduce nonresponse and measurement errors through fieldwork and weighting strategies.
- Produce clear reports: document, explain, and share sampling designs with key 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 workload.What our students say
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