About this Course

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Approx. 18 hours to complete
English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 18 hours to complete
English

Offered by

Placeholder

University of Maryland, College Park

Syllabus - What you will learn from this course

Week
1

Week 1

5 hours to complete

General Steps in Weighting

5 hours to complete
7 videos (Total 48 min), 7 readings, 7 quizzes
7 videos
Quantities to Estimate8m
Goals of Estimation6m
Statistical Interpretation of Estimates10m
Coverage Problems5m
Improving Precision3m
Effects of Weighting on SEs2m
7 readings
Class notes + additional reading10m
Class notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
7 practice exercises
Introductory quiz on weights30m
Quantities30m
Goals30m
Interpretation30m
Coverage30m
Improving precision30m
Effects on SEs30m
Week
2

Week 2

4 hours to complete

Specific Steps

4 hours to complete
6 videos (Total 44 min), 6 readings, 5 quizzes
6 videos
Base Weights8m
Nonresponse Adjustments7m
Response Propensities4m
Tree algorithms10m
Calibration5m
6 readings
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
5 practice exercises
Overview30m
Base weights30m
Nonresponse30m
Trees30m
Calibration30m
Week
3

Week 3

4 hours to complete

Implementing the Steps

4 hours to complete
6 videos (Total 64 min), 5 readings, 4 quizzes
6 videos
Base Weights10m
More on Base Weights13m
Nonresponse Adjustments13m
Examples of Calibration7m
Software for Poststratification14m
5 readings
Class Notes10m
Class Notes + Software10m
Class Notes10m
Class Notes + Software for propensity classes10m
Class Notes + Software for calibration10m
4 practice exercises
Software30m
Quiz on base weights30m
Quiz on nonresponse adjustments30m
Quiz on calibration and poststratification30m
Week
4

Week 4

4 hours to complete

Imputing for Missing Items

4 hours to complete
6 videos (Total 46 min), 5 readings, 5 quizzes
6 videos
Means and hotdeck7m
Regression Imputation6m
Effect on Variances9m
mice R package4m
mice example10m
5 readings
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes + mice R package10m
5 practice exercises
Reasons for imputing30m
Means and hot deck30m
Regression imputation30m
Effects on variances30m
Imputation software30m
13 minutes to complete

Summary of Course 5

13 minutes to complete
1 video (Total 3 min), 1 reading
1 video
1 reading
Class Notes10m

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About the Survey Data Collection and Analytics Specialization

Survey Data Collection and Analytics

Frequently Asked Questions

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