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 appropriate 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 reliable confidence intervals to support data-driven decisions.
4 to 360h 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 complex sampling schemes using stratified, cluster, and systematic approaches efficiently.
- Calculate precise sample sizes while accounting for margins of error, statistical power, and design effects.
- Perform estimations in complex surveys applying weights, intraclass correlation, and sophisticated variance estimation.
- Mitigate bias and nonresponse via weighting adjustments, calibration methods, and sensitivity analyses.
- Conduct survey simulations to evaluate estimator performance, bias, coverage probabilities, and confidence intervals.
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 are saying
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