The university continues to monitor the circumstances related to the pandemic. Spring 2021 course offerings are set. However, the course delivery methods and locations are still being updated and will be finalized in the Schedule of Classes by December 4, 2020.
Introduction to Record Linkage with Big Data Applications
Prerequisite: Basic statistical concepts; and intermediate knowledge of R.
Recommended: Familiarity with regular expressions, the R packages ggplot2 and tidyverse.
Restriction: Permission of BSOS-Joint Program in Survey Methodology department.
Methods to combine data on given entities (people, households, firms etc.) that are stored in different data sources. By showing the strengths of these methods and by showing how each of them are performed in practice using R, the course will demonstrate the various benefits of record linkage. Participants will also learn about potential challenges that record linkage projects may face.