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Sampling and Estimation Course

Sampling and Estimation Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This practical course on sampling and estimation equips you to create representative samples, develop solid sampling frames, and select from simple random, systematic, stratified, or cluster sampling methods. You will learn to determine appropriate sample sizes, account for design effects, minimize bias and nonresponse, implement weighting and calibration adjustments, compute variances for complex designs, perform simulations, and effectively communicate estimates, uncertainties, and study limitations.

Elevify advantages

Develop skills

  • Design complex samples using stratified, cluster, and systematic methods quickly.
  • Calculate sample sizes to manage margin of error, power, and design effects.
  • Estimate parameters under complex designs with weights, ICC, and advanced variance techniques.
  • Address bias and nonresponse through weighting, calibration, and sensitivity analysis.
  • Conduct survey simulations to evaluate estimator bias, coverage, and confidence intervals.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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