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Participants will learn how to prepare and process data, a key step prior to visualization and statistical analysis. Our approach focuses on the concept of creating “tidy data”, e.g. data that is organized into readable and distributable files. In this module, we will:

• Use hands-on examples covering concepts on data retrieval, cleaning, manipulation, and formatting.
• Touch on reproducible research using R Markdown and collaborative code sharing using GitHub.

Some familiarity with R is needed for this module.

Recommended Reading: Tidyverse Skills for Data Science in R