Sampling and Estimation Course
Master sampling and estimation for real-world statistics. Learn to design representative samples, calculate sample size and power, handle bias and nonresponse, and build valid confidence intervals for complex survey designs and data-driven decisions.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This short, practical Sampling and Estimation Course shows you how to design representative samples, build reliable frames, and choose among simple random, systematic, stratified, and cluster designs. Learn to calculate sample size, handle design effects, reduce bias and nonresponse, apply weighting and calibration, estimate variance under complex designs, run simulations, and clearly report estimates, uncertainty, and study limitations.
Elevify advantages
Develop skills
- Design complex samples: apply stratified, cluster, and systematic designs fast.
- Compute sample sizes: control margin of error, power, and design effects.
- Estimate under complex designs: use weights, ICC, and advanced variance methods.
- Correct bias and nonresponse: apply weighting, calibration, and sensitivity checks.
- Run survey simulations: assess 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 workload.What our students say
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Course in PDF