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学生对 马里兰大学帕克分校 提供的 Combining and Analyzing Complex Data 的评价和反馈

55 个评分
9 条评论


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....



1 - Combining and Analyzing Complex Data 的 9 个评论(共 9 个)

创建者 Jorge d l V G

Jun 12, 2017

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

创建者 José A R N

Jul 9, 2017

My name is Jose Antonio. I am looking for a new Data Scientist career (

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.


Jose Antonio.

创建者 Roberto D C B

May 19, 2020


The course was useful and informative to me.

Teachers made complex topics clear and understandable.

创建者 Adam P

Mar 7, 2018

I liked the practical examples

创建者 Daniele C

Apr 10, 2021

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

创建者 Ana A

Feb 12, 2021

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

创建者 Enrique A M

Nov 21, 2020

Mil gracias maestro Richard, Mil gracias Coursera.

创建者 Thomas A K

Sep 4, 2017

Easy to understand

创建者 Sid

Jun 3, 2022

T​his is the 1 of the 2 worst course I have done in Coursera. The instructional material that are very poor and nearly immpossible to follow. The courses in this specialisation run by other instructors are much better.