Sampling Course
Gain mastery in statistical sampling for practical research projects. The course covers determining optimal sample sizes, developing stratified and cluster sampling strategies, minimising biases, managing non-response issues, and producing clear documentation to ensure your survey findings are precise, reliable, and ready for informed decisions.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers hands-on guidance to identify target populations, create strong sampling frames, and select suitable probability or non-probability sampling methods. You will learn to calculate sample sizes, distribute across strata, manage clusters, and address non-response using weighting and quality checks. Additionally, gain expertise in documentation, ethics, and transparent reporting for reliable results.
Elevify advantages
Develop skills
- Design sample sizes: calculate optimal sample numbers considering margins of error, confidence levels, and design effects.
- Develop stratified sampling: create effective strata, allocate samples efficiently, and apply benchmarks quickly.
- Implement practical sampling: use simple random, cluster, and multi-stage methods on real-world datasets like shopper information.
- Control biases: reduce non-response and measurement errors through fieldwork techniques and weighting adjustments.
- Produce clear reports: document sampling processes, provide justifications, and communicate designs to expert audiences.
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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