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Course Description

R is a free statistics software that is becoming increasingly popular and important for data analysis in biology. During the course, students will first learn how to handle the R programming environment. Next, students will learn how to simulate data for analysis, while the background for R programming will be provided in accompanying lectures. At the end of the course, students will become familiar with simple R programming, which they will be then able to apply for their own data analysis.

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

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

There are no prerequisites for this course.

Refund
Follow the link to review FAES Tuition Refund Policy.

Funding Justification Guide

Some labs and institutes may have specific funds set aside for trainees to continue their education and professional development. FAES has created a guide intended to help trainees request funds that may be available and, if they are available, request use of the training funds for continued professional development. More details

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