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

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical course on sampling and estimation equips you to create representative samples, develop solid sampling frames, and select from simple random, systematic, stratified, or cluster sampling methods. You will learn to determine appropriate sample sizes, account for design effects, minimize bias and nonresponse, implement weighting and calibration adjustments, compute variances for 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 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 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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