Sampling and Estimation Course
This comprehensive course equips you with essential techniques for sampling and estimation in real-world statistical applications. You will learn to create representative samples, compute optimal sample sizes considering 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-driven decisions and reliable insights.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in designing representative samples, constructing reliable sampling frames, and selecting from simple random, systematic, stratified, and cluster sampling methods. 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 study limitations.
Elevify advantages
Develop skills
- Design advanced sampling strategies including stratified, cluster, and systematic approaches efficiently.
- Calculate precise sample sizes accounting for 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 with weighting adjustments, calibration methods, and sensitivity analyses.
- 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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