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Course Description

Bundle Registration! Save a bundle and receive 30% off the individual course rate when you register for both BIOF 501 and BIOF 539!

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

A textbook is available for this course.

Click here to view a textbook list for FAES courses and purchasing information. Please note that tuition does not include textbooks.

Prerequisites

There are no prerequisites for this course.

Refund
Follow the link to review FAES Tuition Refund Policy.

Scholarship and Funding

Are you a self-funded student? FAES offers scholarship options. Click here for more information and to apply. 

Looking for resources to help you acquire funding for your continued education? Click here for our funding justification guide. 

Photo Release

By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.

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Section Title
Introduction to R: Step-by-Step Guide
Type
Online Asynchronous
Dates
Aug 27, 2025 to Oct 14, 2025
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructor(s)
Section Title
Introduction to R: Step-by-Step Guide
Type
Online Asynchronous
Dates
Oct 22, 2025 to Dec 09, 2025
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructor(s)
Required fields are indicated by .