BIOF 501 - Introduction to R: Step-by-Step Guide

Course Description

R is a free and open-source data analysis platform that has recently gained a significant community presence in computational biology and bioinformatics discipline. During this course, students will learn the basics of R programming including functions, data types, and vector algebra. Students will also learn how to create R scripts and apply general programming features such as if-else decision-making constructs, for loops, and file input/output operations. Additionally, students will learn introductory skills to wrangle and visualize data. At the end of the course, students will have a strong foundation for data analysis using R.

Learner Outcomes

When you complete the course successfully, you will be able to:

Identify the purpose and use all four panes in an R studio.
Implement foundational R programming concepts such as data types, vector algebra, functions, decision making constructs, and looping constructs to analyze data.
Create basic visualization plots.
Develop scripts to wrangle data using the tidyverse approach.

Microcredential(s)

This course applies toward the Bioinformatics Endeavor digital badge.

What FAES Learners are Saying

“I learned the many ways useful plots can be generated using R packages.” - FAES Learner

"I really liked the videos that gave me step by step instructions on what the professor was doing. The textbook was easily accessible and aligned with the lecture videos and the professor always responded promptly to any emails." - FAES Learner

"Professor answered my email promptly which I really appreciated, and the course prioritized the basics that we need to know." - FAES Learner

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

There are no prerequisites for this course.

Refund
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Scholarship and Funding

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Photo Release

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