MH
4.0Reviewed Feb 21, 2021
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.
Framework for Data Collection and Analysis
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.
Status: Surveys
Status: Data Quality
IntermediateCourse10 hours
Featured reviews
TJ
5.0Reviewed Oct 30, 2020
Useful to build basic knowledge which helps you choosing a better mode and linking the objectives of research with the tools (how).Thanks to the instructor and Coursera.
MI
4.0Reviewed Dec 30, 2021
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.
TM
5.0Reviewed Jan 5, 2020
Frauke is experienced, highly knowledgeable and forward thinking in the theory and practice of survey methods.
CK
4.0Reviewed Jun 7, 2016
The deliver papers are great but slides are poor. In overall, a good course to begin learning about Data Collection and Analysis.
MC
5.0Reviewed Sep 2, 2018
This course give sufficient background information to start working on other courses and text about surveys.
NS
4.0Reviewed Jul 12, 2020
It is a very fundamental and brief explanation about data collection, especially for the survey process.
AF
5.0Reviewed Dec 14, 2017
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
AN
5.0Reviewed Nov 26, 2020
At first I was not not getting certain concept but after delving more into the course I understood everything. The lecturer takes her time and explains every detail.
AI
5.0Reviewed Aug 6, 2016
This is an excellent introductory course. It provides the learners with all the basic information required to understand surveys.
MM
5.0Reviewed Mar 6, 2018
Very clear and organised structureClear examples to support learning objectivesAttractive use of voice One point for improvement: Do not film while the lecturer is still refinding breath
SB
5.0Reviewed Jan 5, 2024
This is a great course. I loved Prof. Kreuter's lectures on Total Sample Error framework. Looking forward to learn from the remaining courses in the specialization.