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Dealing With Missing Data

Survey Data Collection and Analytics ,

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®.
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Rating 3.2★ based on 22 ratings
Length 5 weeks
Effort 4 weeks of study, 1-2 hours/week
Starts Jul 3 (44 weeks ago)
Cost $69
From University of Maryland, College Park via Coursera
Instructor Richard Valliant, Ph.D.
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science
Tags Social Sciences Data Science Data Analysis Governance And Society

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missing data

I will use these materials to dealing missing data on our census or survey.

A topic such as missing data is naturally very complex and I wouldn't expect a short course on Coursera to be able to adequately cover it.

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Rating 3.2★ based on 22 ratings
Length 5 weeks
Effort 4 weeks of study, 1-2 hours/week
Starts Jul 3 (44 weeks ago)
Cost $69
From University of Maryland, College Park via Coursera
Instructor Richard Valliant, Ph.D.
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science
Tags Social Sciences Data Science Data Analysis Governance And Society

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