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Runs from: April 22, 2025 - May 6, 2025
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Total Classes: 5
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What You Will Learn: This course, designed for novices, will introduce the foundational skills necessary to get started using R. The content for this course is similar to past introductory R courses, but the pace of the course will be much slower to benefit novices.
Why learn R? R is a great resource for
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04/22/2025 |
This course, designed for novices, will introduce the foundational skills necessary to get started using R. The content for this course is similar to past introductory R courses, but the pace of the course will be much 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 first 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
Topics covered in this course (Part 1) will focus on the basics of R Programming including getting started with R and RStudio, creating and manipulating R objects, and understanding and manipulating vectors and other data structures.
This course will take place on T, Th, 2:00 - 3:00 PM.
We will use R on Biowulf for this course. To use R on Biowulf, you must have an NIH HPC account. However, if you do not have Biowulf, this course can be taken using a local R installation. |