| Course Details | Start Date | |
|---|---|---|
Introductory R for Novices: Introduction to Data Visualization
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10/07/2025 | This course, designed for novices, will introduce learners to data visualization in R with ggplot2 and related packages. The content for this course is similar to past introductory R courses, but the pace of the course will be slower to benefit novices. Why learn R? R is a great resource for statistical analysis, data visualization, and report generation. R also provides packages and functions specific to the analysis of -omics data through efforts like Bioconductor. This course is the third and final part of a larger 3-part course designed for novices: Part 1: Getting Started with R Part 2: Introduction to Data Wrangling Part 3: Introduction to Data Visualization This course (Part 3) focuses on the basics of ggplot2, a tidyverse package for data visualization. Attendees will learn the building blocks needed to create publishable figures as well as tips and tricks to make plotting easier. Prerequisites: This course is recommended for attendees familiar with the skills learned in Part 1: Getting Started with R. Attendees will also benefit from skills learned in Part2: Introduction to Data Wrangling. Course materials: We will use R on Biowulf for this course to avoid issues with R and package installations. To use R on Biowulf, you must have a NIH HPC account. If you do not have a NIH HPC (Biowulf) account, this course can be taken using a local R installation. However, we will not be able to troubleshoot package installation issues during class. Additionally, because we will use packages belonging to the tidyverse, you will need to install these packages using `install.packages("tidyverse")` prior to the first lesson if you are not using R on Biowulf. |
ncibtep@nih.gov