Introduction to R

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis.  Topics include:  an introduction to basics, vectors, matrices, factors, lists and data forms.  Approximately 62 exercises are included.

Authoring Person(s) Name: 
Jonathan Cornelissen
Authoring Organization(s) Name: 
DataCamp
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data coding
Data visuallization
R software environment
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Life Sciences: Genetics and Genomics
Life Sciences: Microbiology
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Physical Sciences and Mathematics: Mathematics
Physical Sciences and Mathematics: Statistics and Probability
Publisher - organization credited with publishing or broadcasting the learning resource: 
DataCamp
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contact Organization(s): 
DataCamp
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Early-career research scientist
Graduate student
Undergraduate student
Data manager
Citizen scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)