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

  • 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

Credentials

This course applies toward the Bioinformatics Curiosity digital badge.

Textbook Information

Textbook Required:

Learning R: A step-by-step function guide to data analysis (1st Edition, 2013) by R. Cotton
ISBN: 9781449357108  |  $54.99

Note: Please remove the textbook at checkout using the appropriate discounts if you do not wish to purchase it.

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
Oct 26, 2022 to Dec 13, 2022
Fee Includes All Costs
Eligible Discounts Can Be Applied at Checkout credit (2 Credits) $829.99
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructors
Required fields are indicated by .