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Combining and Analyzing Complex Data(으)로 돌아가기

메릴랜드 대학교 칼리지파크 캠퍼스의 Combining and Analyzing Complex Data 학습자 리뷰 및 피드백

4.2
33개의 평가
4개의 리뷰

강좌 소개

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....
필터링 기준:

Combining and Analyzing Complex Data의 4개 리뷰 중 1~4

교육 기관: Adam P

Mar 07, 2018

I liked the practical examples

교육 기관: Thomas A K

Sep 04, 2017

Easy to understand

교육 기관: Jose A R N

Jul 09, 2017

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.

교육 기관: Jorge F d l V G

Jun 13, 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