Cleaning Data in R

Record linkage is sometimes called entry resolution or data matching. It’s a useful technique for finding records within a dataset that refer to the same subject but use different terms that do not have a common identifier. For example, your dataset might include people who live in NY and New York - you would want to combine these datasets together as it is the same place, rather than counting these two names as two separate places.

Data cleaning is usually carried out by data engineers, data managers, or data quality analysts. However, it’s a useful skill set for anybody who uses data for analysis and decision making on a regular basis, such as managers, marketers, finance professionals, and HR professionals. Learning data cleaning approaches and techniques will also help you spot poor data and prepare your data properly for analysis.

This course is not suitable for complete beginners. You will need introductory R knowledge and we recommend that you take the Joining Data with dplyr course in order to fully benefit from this course.