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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
Follow the link to review FAES Tuition Refund Policy.

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Section Title
Introduction to R: Step-by-Step Guide
Type
Online Asynchronous
Dates
Feb 01, 2023 to Mar 21, 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)
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)
Required fields are indicated by .