Sampling and Estimation Course
This course equips you with essential skills for sampling and estimation in real-world statistical applications. You will learn to create representative samples, compute optimal sample sizes and power, address bias and nonresponse issues, apply advanced weighting and calibration, estimate variances accurately under complex survey designs, conduct simulations to validate methods, and communicate findings with confidence intervals and study limitations clearly.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in designing representative samples, constructing reliable sampling frames, and selecting from simple random, systematic, stratified, and cluster sampling methods. Master sample size calculations, design effect adjustments, bias and nonresponse mitigation, weighting and calibration techniques, variance estimation for complex designs, simulation analysis, and effective reporting of estimates, uncertainties, and limitations.
Elevify advantages
Develop skills
- Design complex sampling schemes using stratified, cluster, and systematic approaches efficiently.
- Calculate precise sample sizes accounting for margins of error, statistical power, and design effects.
- Perform estimations under intricate designs 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 the 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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