Sampling and Estimation Course
This course equips you with essential skills for effective sampling and estimation in real-world statistics. You will learn to create representative samples, compute accurate sample sizes and power, address bias and nonresponse issues, apply weighting and calibration, estimate variances in complex designs, conduct simulations, and produce reliable confidence intervals to support data-driven decisions in surveys and research.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in crafting representative samples, developing solid sampling frames, and selecting from simple random, systematic, stratified, or cluster methods. Master sample size calculations, design effect adjustments, bias and nonresponse mitigation, weighting techniques, calibration, complex variance estimation, simulations, and transparent reporting of estimates, uncertainties, and limitations.
Elevify advantages
Develop skills
- Design advanced sampling strategies using stratified, cluster, and systematic approaches efficiently.
- Calculate precise sample sizes accounting for margins of error, statistical power, and design effects.
- Perform estimations in complex surveys with weighting, ICC, and sophisticated variance techniques.
- Mitigate bias and nonresponse through weighting, calibration, and sensitivity analysis.
- Conduct survey simulations to evaluate estimator bias, coverage rates, and confidence interval reliability.
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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