Sampling and Estimation Course
This course equips you with essential skills to master sampling and estimation in real-world statistical applications. You will learn to design 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 report findings with confidence intervals and limitations for robust data-driven decisions.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain practical skills in designing representative samples, creating 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 complex sampling schemes using stratified, cluster, and systematic methods efficiently.
- Calculate precise sample sizes by managing margins of error, statistical power, and design effects.
- Perform estimations in complex surveys applying weights, intraclass correlation, and sophisticated variance techniques.
- Mitigate bias and nonresponse via weighting adjustments, calibration procedures, 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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