Raw data come in many shapes and forms. Wrangling these into an interpretable format is often a formidable task, where time for data prep exceeds time for analysis. The tidyverse, an ecosystem of opinionated R packages, can streamline this process and open up new avenues for insight. The developers’ emphasis on human-readable code reduces the barrier to entry for folks more familiar with navigating a spreadsheet than the command line. In this workshop, we are highlighting the major features of the tidyverse to help new and experienced R users get a grip on their data. Participants will learn to filter, sort, group, split, select, mutate, and summarize their data so that they can prepare for whatever analysis they think up. We will provide a short introduction to the R language for new users, but the workshop’s emphasis is on gaining familiarity with a core subset of the tidyverse ecosystem.