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Combining and Analyzing Complex Data

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.

Created by University of Maryland, College Park


What you’ll learn

From this educational opportunity you will gain confidence with the skills sought from employers in 2021. The most relevant technique from the educational opportunity that is often included by companies is Data Analysis. The most relevant tool is R.

Who will benefit?

Contrasting content from this educational opportunity with nearly 10,000 data-related job advertisements, we determine that those in or pursuing Data Scientist roles have the most to gain.