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Combining and Analyzing Complex Data に戻る

メリーランド大学カレッジパーク校(University of Maryland, College Park) による Combining and Analyzing Complex Data の受講者のレビューおよびフィードバック

4.2
54件の評価
8件のレビュー

コースについて

In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be covered with R® receiving particular emphasis. The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Combining of datasets raises ethical issues which the course reviews. Informed consent may have to be obtained from persons to allow their data to be linked. You will learn about differences in the legal requirements in different countries....

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Combining and Analyzing Complex Data: 1 - 8 / 8 レビュー

by José A R N

2017年7月9日

My name is Jose Antonio. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

Regards.

Jose Antonio.

by Roberto D C

2020年5月19日

116/5000

The course was useful and informative to me.

Teachers made complex topics clear and understandable.

by Adam P

2018年3月7日

I liked the practical examples

by Jorge d l V G

2017年6月12日

I found very difficult to understand the way professsor Valliant explains concepts. Also I think that the quizzes are not necesarily correlated with the presentation or talks. This is challenging, and usually is good, but there are no enough guides or Reading material to conpensate the lack of clarity and the extra concepts needed to know. What saves this course was the participation of Profess

by Daniele C

2021年4月10日

The good part of the course is the one dealt with by Frauke Kreuter.

by Ana A

2021年2月12日

Great course! Thanks, Professsor Valliant and Professor Frauke Kreuter.

by Enrique A

2020年11月21日

Mil gracias maestro Richard, Mil gracias Coursera.

by Thomas A K

2017年9月4日

Easy to understand