Loading...

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.

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.

Loading...
To Register Click on "Add to Cart"
Section Title
Introduction to R: Step-by-Step Guide
Type
Online Asynchronous
Dates
Mar 27, 2024 to May 14, 2024
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 .