index.Rmd

---
title: "Intermediate R"
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# About this Course

## Curriculum

The course continues building programming fundamentals in R programming and data analysis. You will learn how to make use of complex data structures, use custom functions built by other R users, creating your own functions, and how to iterate repeated tasks that scales naturally. You will also learn how to clean messy data to a Tidy form for analysis, and conduct an end-to-end data science workflow.

## Target Audience

The course is intended for researchers who want to continue learning the fundamentals of R programming and how to deal with messy datasets. The audience should know how to subset dataframes and vectors and conduct basic analysis, and/or have taken our [Intro to R course](https://github.com/fhdsl/Intro_to_R).

## Offerings

This course is taught on a regular basis at Fred Hutch Cancer Center through the Data Science Lab. Announcements of course offering can be found [here](https://hutchdatascience.org/training/). If you wish to follow the course content asynchronously, you may access the course content on this website and [exercises and solutions on Posit Cloud](https://posit.cloud/content/8236252). The Posit Cloud compute space can be copied to your own workspace for personal use, and you can get started via this [introduction](https://hutchdatascience.org/Intro_to_R/intro-to-computing.html#posit-cloud-setup). Or, you can access the [exercises and solutions on GitHub](https://github.com/fhdsl/Intermediate_R_Exercises).