Sampling and Estimation Course
Gain mastery in sampling and estimation for practical statistics. This course teaches designing representative samples, determining sample size and power, managing bias and nonresponse, and constructing reliable confidence intervals for complex survey designs to support data-driven decisions in real-world scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical Sampling and Estimation Course equips you to design representative samples, create solid sampling frames, and select from simple random, systematic, stratified, or cluster methods. Master sample size calculations, design effect adjustments, bias and nonresponse mitigation, weighting and calibration techniques, variance estimation for complex designs, simulation analysis, and clear reporting of estimates, uncertainties, and study limitations.
Elevify advantages
Develop skills
- Design complex samples using stratified, cluster, and systematic methods quickly.
- Calculate sample sizes to manage margin of error, power, and design effects.
- Estimate parameters under complex designs with weights, ICC, and advanced variance techniques.
- Address bias and nonresponse through weighting, calibration, and sensitivity analysis.
- Conduct survey simulations to evaluate estimator bias, coverage, and CI performance.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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