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University of Maryland, College Park

Survey Data Collection and Analytics

University of Maryland, College Park via Coursera Specialization

Overview

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources. Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.

Syllabus

Course 1: Framework for Data Collection and Analysis
- This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With ... Enroll for free.

Course 2: Data Collection: Online, Telephone and Face-to-face
- This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a ... Enroll for free.

Course 3: Questionnaire Design for Social Surveys
- This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, ... Enroll for free.

Course 4: Sampling People, Networks and Records
- Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient ... Enroll for free.

Course 5: Dealing With Missing Data
- This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external ... Enroll for free.

Course 6: Combining and Analyzing Complex Data
- In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated ... Enroll for free.

Course 7: Survey Data Collection and Analytics Project (Capstone)
- The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources ... Enroll for free.

Courses

Taught by

Frauke Kreuter, Ph.D., Frederick Conrad, Ph.D., James M Lepkowski, Mariel Leonard and Richard Valliant, Ph.D.

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