About this course: This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will 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. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.
Taught by: Frauke Kreuter, Ph.D., Professor, Joint Program in Survey Methodology
Adjunct Research Professor, Institute for Social Research
Taught by: Mariel Leonard
| Basic Info |
Course 1 of 7 in the
Survey Data Collection and Analytics Specialization.
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| Level | Intermediate |
| Commitment | 4 weeks of study, 1-2 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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Great overview of designed and organic data collection! I feel more confident interpreting and understanding survey results and providing input on community-based research projects. Some of the readings were challenging for me because I have not studied statistics, but it was a welcome challenge. I plan to return to some of the course materials after completing a stats 101 course.
I took the survey questionnaire design course in this specialization two years ago and I wish I'd taken this first. If you're thinking of sampling courses from this specialization, I highly recommend you start here.
One of the most informative courses I have ever taken.
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I thought it had just the right level of detail for a foundation course.