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 report findings with confidence intervals and study limitations for informed data-driven decisions.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain practical skills in designing representative samples, creating 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 and calibration techniques, variance estimation for complex designs, simulation runs, and clear reporting of estimates, uncertainties, and limitations.
Elevify advantages
Develop skills
- Design complex samples using stratified, cluster, and systematic methods efficiently.
- Calculate sample sizes to manage margins of error, statistical power, and design effects.
- Estimate parameters under complex designs with weights, ICC, and advanced variance techniques.
- Mitigate bias and nonresponse via weighting, calibration, and sensitivity analysis.
- Conduct survey simulations to evaluate estimator bias, coverage, and confidence interval 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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