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.
AO
This great course and a good foundation for the specialization. The lecturer is amazing and experienced. I really enjoyed this one.
TJ
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.
CK
The deliver papers are great but slides are poor. In overall, a good course to begin learning about Data Collection and Analysis.
MI
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
Frauke is experienced, highly knowledgeable and forward thinking in the theory and practice of survey methods.
SB
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.
AF
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
MC
This course give sufficient background information to start working on other courses and text about surveys.
MM
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
IL
I though it was a good background course, however, I wish initially (in week 1) there was more focus on definitions.
EH
very enjoyable. Excellent scene-setter for more in depth treatments of other aspects of survey-led quant research.
AI
This is an excellent introductory course. It provides the learners with all the basic information required to understand surveys.
Showing: 20 of 172
The teacher for the course was great. She explained everything very clearly. She also explained what is coming next. Learned a lot. Reading materials were overwhelming.
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.
This was fast and comprehensive. I had trouble getting through the length of some of the readings, but there were all relevant. I love the combination of short videos, outlines, readings and quizzes. This definitely was more than just a certification. I have increased my confidence in meetings on this topic and my mastery in my field.
This course is no joke. I struggled. I do not have a background in statistics or research but took it as pro dev for what I do in my job as a system administrator (admin for our university's survey tool). Excellent content, great introduction. Opened my eyes to how much I DON"T know. Will be pursuing the rest of the specialization.
este curso es muy interesante, porque te permite conocer los diferentes métodos para recopilar y analizar los datos así como registrarlos . lo recomiendo es muy útil para ponerlo en práctica para tu próximo trabajo de estudio o de investigación.
This course is a very interesting course. It is highly commendable specially to those who are eager to learn on the framework of data collection and analysis. Thank you so much for this opportunity to learn many skills related to statistics.
This great course and a good foundation for the specialization. The lecturer is amazing and experienced. I really enjoyed this one.
Frauke is experienced, highly knowledgeable and forward thinking in the theory and practice of survey methods.
Great refresher! Enjoyed the depth covered in this course for data collection. It was very helpful to me.
Really poorly organized class. Quizzes were on obscure random facts, and had nothing to do with real learning. Professor was all over the place; didn't explain terms, course wasn't scaffolded in a way to allow for learning or really organized in a logical way at all. Super disappointed because I was really looking forward to the topic.
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 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.
Excelente curso, genera las herramientas necesarias para la recoleccion, transformacion, analisis e interpretacion de datos que requiero como principiante en este proceso
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.
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.
This is an excellent introductory course. It provides the learners with all the basic information required to understand surveys.
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
very enjoyable. Excellent scene-setter for more in depth treatments of other aspects of survey-led quant research.
Great overview of the survey process. Instructor presented information in a concise manner. Highly recommended.
This course give sufficient background information to start working on other courses and text about surveys.