Sampling and Estimation Course
This course equips you with essential techniques for sampling and estimation in real-world statistical applications. You will learn to create representative samples, compute precise sample sizes accounting for power and design effects, address bias and nonresponse through weighting and calibration, estimate variances under complex survey designs, conduct simulations to validate methods, and produce robust confidence intervals to support data-informed decisions.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain practical skills in designing representative samples, constructing reliable sampling frames, and selecting optimal methods like simple random, systematic, stratified, and cluster sampling. Master sample size calculations, design effect adjustments, bias and nonresponse mitigation, weighting and calibration techniques, variance estimation for complex designs, simulation analysis, and effective reporting of estimates, uncertainties, and limitations.
Elevify Advantages
Develop Skills
- Design advanced sampling strategies including stratified, cluster, and systematic approaches efficiently.
- Calculate optimal sample sizes while managing margins of error, statistical power, and design effects.
- Perform estimations in complex surveys using weighting, intraclass correlation, and sophisticated variance techniques.
- Mitigate bias and nonresponse through effective weighting, calibration, and sensitivity analysis.
- Conduct survey simulations to evaluate estimator bias, confidence interval coverage, and overall 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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