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.
About this Course
Skills you will gain
- 5 stars53.90%
- 4 stars25.77%
- 3 stars12.51%
- 2 stars3.68%
- 1 star4.12%
TOP REVIEWS FROM FRAMEWORK FOR DATA COLLECTION AND ANALYSIS
Interesting and very useful for work.
I liked it better than a course #5-6. It's not so long, but has many practical insights
The course have helped me a lot to improve my Data collection skills and i have learned a lot of things that is going to help me in teh future to collect my data properly.
Lot of definitions, so some of the questions (especially week 4) test reading comprehension more than understanding - but hopefully this will improve in the subsequent courses of the specialization.
very enjoyable. Excellent scene-setter for more in depth treatments of other aspects of survey-led quant research.
About the Survey Data Collection and Analytics Specialization
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