Sampling and Estimation Course
Gain mastery in sampling and estimation techniques for practical statistical applications. This course covers designing representative samples, determining sample sizes and power, managing bias and nonresponse issues, and constructing reliable confidence intervals for complex survey designs to support data-informed decisions.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This concise Sampling and Estimation Course teaches designing representative samples, constructing reliable sampling frames, and selecting from simple random, systematic, stratified, and cluster sampling methods. Participants learn to compute sample sizes, account for design effects, minimise bias and nonresponse, implement weighting and calibration, estimate variances in complex designs, perform simulations, and effectively communicate estimates, uncertainties, and study limitations.
Elevify advantages
Develop skills
- Design complex samples using stratified, cluster, and systematic methods efficiently.
- Calculate sample sizes accounting for margin of error, power, and design effects.
- Estimate parameters under complex designs with weights, ICC, and advanced variance techniques.
- Address bias and nonresponse through weighting, calibration, and sensitivity analysis.
- Conduct survey simulations to evaluate estimator bias, coverage, and confidence interval performance.
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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