Combining and Analyzing Complex Data
By Coursera
on Coursera
· Data Science
About This Course
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.
Instructor
Richard Valliant
Frequently Asked Questions
How much does Combining and Analyzing Complex Data cost?
Visit the Combining and Analyzing Complex Data course page for current pricing and available discounts.
Who teaches Combining and Analyzing Complex Data?
Combining and Analyzing Complex Data is taught by Richard Valliant, Ph.D., University of Maryland, College Park.
What skill level is Combining and Analyzing Complex Data for?
This course is designed for beginner learners.