Sampling and Estimation Course
Gain expertise in sampling and estimation for practical statistics applications. This course teaches designing representative samples, determining optimal sample sizes and power, managing bias and nonresponse issues, and constructing reliable confidence intervals for complex survey designs to support data-informed decisions effectively.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical course equips you with skills to design representative samples, construct reliable sampling frames, and select from simple random, systematic, stratified, and cluster sampling methods. You will learn to compute sample sizes, account for design effects, minimize bias and nonresponse, implement weighting and calibration techniques, estimate variances in complex designs, perform simulations, and effectively communicate estimates, uncertainties, and study limitations.
Elevify advantages
Develop skills
- Design complex samples using stratified, cluster, and systematic methods efficiently.
- Calculate sample sizes accounting for 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 confidence intervals.
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 workload.What our students say
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