Dealing With Missing Data
half-circle
vector

Dealing With Missing Data

أبرز محتويات الدورة

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.

حول مقدم الدورة

Coursera provides access to more than 3000+ courses across a wide variety of subjects in parntership with different universities and organizations.

الطبع بواسطة

  • self
    التعلم الذاتي
  • dueration
    المدة 18 ساعات
  • domain
    الاختصاص البيانات الضخمة وتحليل البيانات
  • subs
    Monthly Subscription
    Course is included in
    1. الباقة الإبتدائية @ AED 99 + VAT
    2. الباقة الاحترافية @ AED 149 + VAT
  • fee
    Buy Now Option not available
  • language
    اللغة الإنكليزية