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.
Coursera
Embark on a journey to master the art of data collection and analysis with our Framework for Data Collection and Analysis course. Whether you're a researcher, analyst, or student, this course will equip you with the tools needed to identify relevant data sources, formulate measurable research questions, and develop effective analysis plans.
Coursera
Discover the secrets behind creating powerful and insightful questionnaires for your social surveys. This course will guide you through the entire process of questionnaire design, from formulating questions to evaluating responses. Gain practical techniques and best practices to ensure your survey yields reliable and actionable results.
Coursera
Discover how various data collection strategies affect survey outcomes in this enlightening course from Coursera. Delve into the nuances of online, telephone, and face-to-face methods to gain insights into improving survey design and ensuring high-quality data. This course is perfect for researchers, statisticians, and anyone involved in designing and conducting surveys.
Coursera
Discover the essential skills needed to effectively manage missing data with 'Dealing With Missing Data' on Coursera. This course delves into advanced survey analysis techniques such as weighting, nonresponse adjustments, and imputation methods. Learn how to apply these strategies using industry-standard tools like R®, Stata®, and SAS®. Perfect for statisticians, researchers, and analysts looking to enhance their data handling capabilities.
Coursera
Dive into the world of data collection with 'Sampling People, Networks and Records' - a comprehensive online course designed for researchers and analysts. This course will equip you with the knowledge to select high-quality samples from populations, networks, and records, ensuring your research is robust and reliable. Learn how different sampling methods impact data analysis and gain insights into making informed decisions based on sound statistical principles.
Coursera
Discover the art of combining diverse datasets and analyzing complex information with our 'Combining and Analyzing Complex Data' course. Master the use of survey weights to estimate statistics accurately, delve into advanced data analysis using R, and explore record linkage and statistical matching techniques. This course also covers crucial ethical considerations in data handling.