Switch to English Site

dotsdots

Combining and Analyzing Complex Data

描述

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.阅读更多.

此资源由附属合作伙伴提供。 如果您支付培训费用,我们可能会赚取佣金来支持该网站。

按照数据工作岗位排列职业相关性

Combining and Analyzing Complex Data 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。

相似度得分(满分 100)

学习顺序

Combining and Analyzing Complex Data is a part of 一 structured learning path.

Coursera
University of Michigan