学生对 密歇根大学 提供的 Sampling People, Networks and Records 的评价和反馈

the most comprehensive course about sampling undoubtedly. Try to take quizzes as well in order to get the most of the course and materials.

It was a fantastic course.

Excellent course with very useful material on sampling.

Great presentation of the materials

Great course

It is a tough course, but I learned so much

Great course and excellent teaching.

Very useful course to get the foundation in understanding the sampling process

Excellent tutor. Easy to follow and useful coursework. Thanks!

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.

Great course!

The MOST useful class among this survey specializations. Highly recommended.

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

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.

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.