Course Level: Foundation
If you work with data, you probably spend a lot of time cleaning it and wrangling it into the correct shape. This course will show you how you can use R to efficiently clean and wrangle your data into a format that’s ready for analysis. You will learn about the Tidyverse, what tidy data really is, and how to practically achieve it with packages such as {dplyr}, {tidyr}, {lubridate} and {forcats}.
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Session 1:
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Session 2:
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This course does not include:
Content from the {stringr} package, which helps with splitting and combining strings, manipulating text data and working with regular expressions. We have a Text Mining in R course which covers {stringr} in detail.
The {purrr} package. If you want to learn more about {purrr} see our Functional Programming with {purrr} course.
Although {ggplot2} features in this course, we recommend attending our Data Visualisation with ggplot2 course if you want to learn more about creating data visualisations in R.
This course assumes familiarity with the concepts taught in our Introduction to R course. In particular, we build on the underlying {tidyverse} theory by introducing new {tidyverse} packages. If you have limited or no experience in R, we would advise you to complete our Introduction to R course, before attending.