Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors. Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control. It is these last kinds of samples that will be discussed in this course. We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples. The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.
AM
I gained solid foundations of sampling techniques from this course. The instructor is excellent, and the course content is very comprehensive.
DK
I was very impressed with the course content as well as the expert presentation. This course has empowered with relevant and practical sampling skills that I will apply in the my work
JO
The MOST useful class among this survey specializations. Highly recommended.
KS
Comprehensive Knowledge is provided in the course. Highly skilled faculty member.
SS
Excellent tutor. Easy to follow and useful coursework. Thanks!
LM
This is a very good course and I especially liked the peer review assessement.
KD
Very effective instructor who talks as if he's actually in class with you, rather than reading from slides.
MM
the most comprehensive course about sampling undoubtedly. Try to take quizzes as well in order to get the most of the course and materials.
DC
Best course of the specialization. Great instructor.
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Excellent course with very useful material on sampling selection techniques and the use of weights. The content is fundamental and provides information that is missing from most data analysis courses. Recommended but some basic knowledge of statistics will help grasp the content more easily.
the most comprehensive course about sampling undoubtedly. Try to take quizzes as well in order to get the most of the course and materials.
very difficult in comparison to the other courses of the specialisation. The professor seems great, but the course was far too difficult for my statistics basis and in comparison with the rest of the specialisation. This course needs a strong introduction or pre-course if it is to stay in the specialisation.
This is a very good course and I especially liked the peer review assessement.
The MOST useful class among this survey specializations. Highly recommended.
Excellent tutor. Easy to follow and useful coursework. Thanks!
It was a fantastic course.
This is a good course and I enjoyed the video lectures. The course's reliance on peer-reviewed quizzes was not conducive to learning however. Coursera should seriously consider refraining from peer-reviewed assessments. The student's knowledge can easily be measured using traditional testing methods and the peer-reviewed materials could easily be modified.
This course was very good, but for people with less calculation experience, it takes far more time than posted. Also, it would be helpful to upload pdfs of slides so that formulas are more easily accessible and we don't have to scan back through videos to find them.
This course was pretty difficult to me. I think that if there was a summary of the formulas and what the symbols meant that it would've been more helpful. Sometimes the examples did not seem that helpful, they were just a distraction
I was very eager when I saw this course and specialization, and I applied with the aim that I would learn a lot. But sadly, this course is not for beginners as they claim it is. It is filled with very complex mathematical calculations, which are not my forte at all, and I had to pass before I could proceed. The explanations are not rich enough, and sadly, I am left with no choice but to leave this course unconluded, and this wasn't what I had projected at all.
Very poor course, especially when it gets to the last weeks, there are no enough instructions to help you in the exam. it is all about money transaction, I am sorry to say that.
A brilliant course for everybody interested in surveys and polls based on samples - whether as a producer of data who has to draw samples him- or herself or as a consumer of statistics wondering how scientists can make statements about a population by asking or examining just a few.
I was very impressed with the course content as well as the expert presentation. This course has empowered with relevant and practical sampling skills that I will apply in the my work
I gained solid foundations of sampling techniques from this course. The instructor is excellent, and the course content is very comprehensive.
Very effective instructor who talks as if he's actually in class with you, rather than reading from slides.
Very useful course to get the foundation in understanding the sampling process
Best course of the specialization. Great instructor.
It is a tough course, but I learned so much
Great course and excellent teaching.