Sampling Course
Gain mastery in statistical sampling for practical research applications. Learn to determine optimal sample sizes, develop stratified and cluster sampling strategies, minimise bias, manage nonresponse effectively, and document methodologies clearly to ensure survey results are precise, justifiable, and ready for decision-making.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course provides practical, step-by-step guidance on defining target populations, designing robust sampling frames, and selecting suitable probability or non-probability methods. Participants learn to calculate sample sizes, allocate across strata, manage clustering, and address nonresponse through weighting and quality controls. Additionally, master documentation, ethical standards, and transparent reporting for reliable, defensible outcomes.
Elevify advantages
Develop skills
- Design sample sizes: calculate efficient sample numbers considering margins of error, confidence levels, and design effects.
- Develop stratified sampling: create strata, allocate samples optimally, and apply benchmarks efficiently.
- Implement practical sampling: utilise simple random, cluster, and multi-stage methods for real-world data like shopper surveys.
- Control bias: reduce nonresponse and measurement errors using fieldwork and weighting techniques.
- Produce clear reports: document, justify, and communicate sampling 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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