Survey Data Collection and Analytics Specialization
This specialization - Survey Data Collection and Analytics - covers the principles of surveys as they are applied in market research, evaluation research, social science and political research, official government statistics, and a variety of other areas. You'll master the fundamentals of questionnaire design, data collection methods, sampling design, coping with missing values, producing estimates, merging data from various sources, and survey data analysis throughout the course of six sessions. By analyzing and comparing numerous data sources in the final Capstone Project, you'll put the skills you've learned throughout the specialty to use.
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, were established by the National Science Foundation and the Interagency Consortium of Statistical Policy in the United States to educate the next generation of survey researchers, statisticians, and methodologists. The instructors also offer short courses, a summer school, certifications, master's degrees, and PhD programs in addition to this focus.
Skills you will gain
- Data Collection
- Cluster Sampling
- R Programming
- Missing Data
Instructor: Frauke Kreuter, Ph.D. and 4 more instructors
Coursera rate: 4.3/5.0, 747 ratings
Offered by: University of Maryland, College and University of Michigan
Enroll here: https://www.coursera.org/specializations/data-collection