A 2-week introduction to R programming course, with a focus on public health datasets
- Updated
Sep 3, 2025 - HTML
A 2-week introduction to R programming course, with a focus on public health datasets
🌼 Collection of materials to accompany the R25 funded "Data Science for Environmental Health" short course
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
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.
The course covers fundamentals of R, a high-level programming language, and use it to wrangle data for analysis and visualization. The programming skills you will learn are transferable to learn more about R independently and other high-level languages such as Python.
The course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.
A 4-day introduction to R programming, focused on Fred Hutch Research Interns
A bonus course for DataTrail graduates who wish to learn python
Lab exercise: learn basic R programming through interactive swirl lessons
UW Summer Institute in Statistics: Data Wrangling in R
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