Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Survey Data Collection and Analytics Specialization

Course Cover
compare button icon

Course Features

icon

Duration

8 months

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Effort

3 hours per week

icon

Teaching Type

Self Paced

Course Description

This specialization covers fundamentals of survey design and use in evaluation research, market research, political research, social science, and official statistics. Six courses will teach you the basics of questionnaire design, data collection, sampling, dealing with missing value, making estimates, combining different sources of data, and analysis of survey data. The final Capstone Project will apply all the skills you have learned during the specialization, analyzing and comparing multiple sources of data. The Michigan Program in Survey Methodology and Joint Program in Survey Methodology are the faculty for this specialisation. This collaboration is between the University of Maryland and Westat Data Collection, which was founded by the National Science Foundation in the U.S. and the Interagency Consortium of Statistical Policy in order to educate the next generation of survey statisticians and survey researchers. We also offer short courses, certificates, master's degrees, and PhD programs.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan

Overview of how to estimate and summarize the uncertainty of randomized sampling

Review a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys)

Review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and con

Course Cover