R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science.
In this course, you’ll be exposed to fundamental programming concepts in R. After the basics, you’ll learn how to organize, modify and clean data frames, a useful data structure in R. Then you’ll learn how to create data visualizations to showcase insights in data! Finish up with statistics and hypothesis testing to become a data analysis expert.
You do not need to know how to code to enroll in this course!
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Time to Complete20 Hours
PrerequisitesNone
I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.
R is a popular language used by data scientists and researchers. If you are working with data, R is a fantastic language to learn.
Earn a certificate of completion 20 hours to complete in total
Beginner
2 lessons, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
3 lessons, 1 project, 1 quiz
2 lessons, 1 quiz, 1 project
3 lessons, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R, based on the first letter of first name of the two R authors [Robert Gentleman and Ross Ihaka], and partly a play on the name of the Bell Labs Language S.
Audience
This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
Prerequisites
Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track.