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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

  • Introduce R programming environments for scientific analysis
  • Understand the concepts of basic data structures, such as Vectors, Matrices, Arrays, List, and Data Frames
  • Introduce data handling and visualization in R
  • Understand the concepts of Packages and simple R programming

Microcredential(s)

This course applies toward the Bioinformatics Endeavor digital badge.

Textbook Information

A textbook is required or recommended 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
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Section Title
Introduction to R: Step-by-Step Guide
Type
Online Asynchronous
Dates
Mar 29, 2023 to May 16, 2023
Total Cost (Includes $75 non-refundable technology fee per course)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructor(s)
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