Sampling Course
Gain mastery in statistical sampling for practical research projects. Discover how to determine optimal sample sizes, develop stratified and cluster sampling strategies, minimise bias, tackle non-response issues, and produce comprehensive documentation to ensure your survey findings are precise, credible, and ready for informed decisions.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course offers hands-on guidance to identify target populations, create solid sampling frames, and select suitable probability or non-probability sampling methods. You'll learn to calculate sample sizes, distribute across strata, manage clusters, and address non-response using weighting and quality checks. Gain expertise in documentation, ethics, and clear reporting for reliable, trustworthy outcomes.
Elevify advantages
Develop skills
- Design sample sizes: calculate effective sample numbers considering margins, confidence levels, and design effects.
- Develop stratified sampling: establish strata, allocate resources efficiently, and apply benchmarks swiftly.
- Implement practical sampling: utilise simple random, cluster, and multi-stage methods for consumer datasets.
- Control bias: reduce non-response and measurement errors through fieldwork and weighting techniques.
- Produce clear reports: document, validate, and communicate sampling designs to 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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Course in PDF