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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

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
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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
Available for Academic Credit
2 Credit(s)
Instructors
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