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 stars53.82%
- 4 stars25.54%
- 3 stars12.69%
- 2 stars3.89%
- 1 star4.04%
TOP REVIEWS FROM FRAMEWORK FOR DATA COLLECTION AND ANALYSIS
Frauke is experienced, highly knowledgeable and forward thinking in the theory and practice of survey methods.
I learnt new things about surveys, data collection, usage of data collected and the examples of surveys was quite useful. The course gave me added knowledge.
Very clear and organised structure
Clear examples to support learning objectives
Attractive use of voice
One point for improvement: Do not film while the lecturer is still refinding breath
The way the instructor was teaching was not very exciting, but the course was a good start as it had general information about data analysis.
About the Survey Data Collection and Analytics Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.