Data Wrangling in R

"Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This course teaches wrangling skills using the tools of the tidyverse. The tidyverse is a collection of R packages that are designed to make it easier to work with data. The ggplot2 package is just one example of the highly regarded tools in the tidyverse.

This course will cover importing data, cleaning data, creating and transforming variables, merging data, and plotting. It is a hands on class with time devoted to practicing using these tools to ready data for analysis. It is designed to prepare you to do research using R and the tidyverse.

While it is designed for people who have no experience with R, veteran R users who would like to learn the tidyverse will also benefit from the class. Graduate students who will work in R may choose to take this course at the beginning of their graduate student career or wait until they're ready to start doing research.

Instructor: Banghart
Room: 105 Steenbock Library
Dates: 9/4, 9/9, 9/11, 9/16, 9/18, 9/23, 9/25, 9/30, 10/2, 10/7
This class is a series and you should plan on attending all of the sessions.
Time: 1:00 - 3:00

 

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