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Learner Reviews & Feedback for Dealing With Missing Data by University of Maryland, College Park

3.8
stars
130 ratings

About the Course

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®....

Top reviews

ZM

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interesting material, well taught, lots of short quizzes to enforce understanding.

SS

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This course was hard to follow, hard to complete (quizzes), poorly designed and with little useful content. In other words, not worth the money I paid for it!

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26 - 33 of 33 Reviews for Dealing With Missing Data

By Alicia K

May 4, 2020

Good course, but I would have liked some hands-on course assignments to feel like I could apply what I learned.

By Anandita G

Nov 3, 2018

There is scope for a lot of improvement in terms of quality of content as well as videos. There also appeared to be technical issues in the quizzes wherein the correct responses were often returned as incorrect & vice-versa, for a few quizzes. Without a moderator, queries are not addressed and nobody appears to be keeping track of the feedback. I was disappointed in the course since the previous courses in the specialization were far better designed and executed.

By Réjane F R

Dec 22, 2016

The contents of this course could be interesting, but they end up being terribly boring. The course lacks examples to bring things to life. A pity!

By Margie H

Aug 30, 2016

I wrote some indepth feedback, but par for the course, I can't save it - either here or on the discussion board. Nothing obscene, but certainly some major frustration with format, inconsistencies in scoring and format, information not reviewed in the course on some of the quizzes, the fact that Coursera keeps trying to sell me the specialty, the lack of ANY moderator on the discussion board to provide assistance...and can go on with the technical issues to but I won't!

By Alexander D B

Nov 8, 2020

Wow... I've taken several courses on this site and this one is just not good in several ways. There are technical issues with the volume. The summary of information is really lacking detail. The section on R is not remotely useful if you have never used R before.

By Daniele C

Apr 10, 2021

This course is to be changed completely. The criticism expressed in the forum are mostly true.

By Hiroki N

Nov 16, 2017

the course materials are of very low quality.

By Manuela E

Dec 11, 2020

Bad sound and poor content