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 appropriate sample sizes and power, address bias and nonresponse issues, apply weighting and calibration, estimate variances under complex designs, conduct simulations, and produce reliable confidence intervals to support data-driven decisions in surveys and research.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in crafting representative samples, constructing solid sampling frames, and selecting optimal designs 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 surveys, simulation methods, and precise reporting of estimates, uncertainties, and limitations.
Elevify advantages
Develop skills
- Design advanced sampling strategies using stratified, cluster, and systematic methods efficiently.
- Calculate precise sample sizes accounting for 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 through weighting, calibration adjustments, 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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