The virtual course "Framework for data collection and analysis - Virtual Course - Coursera", is a course with different contents and offers video classes of Approx. 10 hours to complete. Explore its essential features, and click the orange button for detailed information on the Coursera e-Learning platform.
This course will provide you with an overview of existing data products and a good understanding of the data collection landscape. With the help of several examples, you'll learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Additionally, this course will provide you with a general framework that will allow you to not only understand each step required for successful data collection and analysis, but will also help you identify errors associated with different data sources. You'll learn some metrics to quantify each potential error, and therefore have tools at hand to describe the quality of a data source. Finally, we will present different large-scale data collection efforts by private industry and government agencies, and review the concepts learned through these examples. This course is suitable for both beginners and those who are familiar with one particular data source, but not others, and are looking for a general framework for evaluating data products.
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