Sampling and Estimation Course
This course equips you with essential skills for effective sampling and estimation in real-world statistical applications. You will learn to design representative samples, compute optimal sample sizes considering power and design effects, address bias and nonresponse through weighting and calibration, estimate variances under complex survey designs, conduct simulations to validate methods, and produce reliable confidence intervals for informed data-driven decisions.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in designing representative samples, creating 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 clear reporting of estimates, uncertainties, and study limitations.
Elevify advantages
Develop skills
- Design complex sampling strategies using stratified, cluster, and systematic approaches efficiently.
- Calculate precise sample sizes to manage margins of error, statistical power, and design effects.
- Perform estimations in complex surveys applying weights, ICC, and sophisticated variance techniques.
- Mitigate bias and nonresponse with weighting, calibration methods, and sensitivity analysis.
- Conduct survey simulations to evaluate estimator bias, confidence interval coverage, and 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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