Intermediate R

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

The intermediate R course is the logical next stop on your journey in the R programming language. In this R training you will learn about conditional statements, loops and functions to power your own R scripts. Next, you can make your R code more efficient and readable using the apply functions. Finally, the utilities chapter gets you up to speed with regular expressions in the R programming language, data structure manipulations and times and dates. This R tutorial will allow you to learn R and take the next step in advancing your overall knowledge and capabilities while programming in R.

Authoring Person(s) Name: 
Filip Schouwenaars
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: 
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: 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 Person(s): 
Filip Schouwenaars
Contact Organization(s): 
DataCamp
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Text - body of a printed work, to include reading passages.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Software engineer
Early-career research scientist
Graduate student
Undergraduate student
Data manager
Data professional
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)