What is R programming?

R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.

Why learn R programming?

It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.

What are typical careers that use R programming?

Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.

How can online courses help me learn R programming?

Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.

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229 results for "r programming"

Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Clustering Algorithms, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Ggplot2, Knitr, Plot (Graphics), Probability & Statistics, R Programming, Software Engineering Tools, Statistical Programming
4.6
(46.5k reviews)
Beginner · Specialization
Duke University
Data Analysis with R
Skills you'll gain: Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Statistical Tests
4.7
(6.6k reviews)
Beginner · Specialization
Google
Google Data Analytics
Skills you'll gain: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, Network Security, Other Programming Languages, Plot (Graphics), Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design
4.8
(63.7k reviews)
Beginner · Professional Certificate
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Leadership and Management, Marketing, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Programming Principles, R Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.7
(9.8k reviews)
Beginner · Professional Certificate
IBM
Applied Data Science with R
Skills you'll gain: Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Extract, Transform, Load, Marketing, Plot (Graphics), Probability & Statistics, Programming Principles, R Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science
4.4
(277 reviews)
Beginner · Specialization

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In summary, here are 10 of our most popular r programming courses

Data Science: Foundations using R: Johns Hopkins University
R Programming: Johns Hopkins University
Data Analysis with R Programming: Google
Data Analysis with R: Duke University
Getting Started with R: Coursera Project Network
Google Data Analytics: Google
Data Visualization & Dashboarding with R: Johns Hopkins University
Introduction to R Programming for Data Science: IBM
Data Analysis with Tidyverse: University of Colorado Boulder
IBM Data Analytics with Excel and R: IBM

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Data Manipulation (20)

Frequently Asked Questions about R Programming

It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.‎
Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.‎
Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

229 results for "r programming"

Data Science: Foundations using R

R Programming

Data Analysis with R Programming

Data Analysis with R

Getting Started with R

Google Data Analytics

Data Visualization & Dashboarding with R

Introduction to R Programming for Data Science

Data Analysis with Tidyverse

IBM Data Analytics with Excel and R

Introduction to R Programming and Tidyverse

Applied Data Science with R

Searches related to r programming

In summary, here are 10 of our most popular r programming courses

Skills you can learn in Data Analysis

Frequently Asked Questions about R Programming

What is R programming?‎

Why learn R programming?‎

What are typical careers that use R programming?‎

How can online courses help me learn R programming?‎

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Filter by

229 results for "r programming"

Searches related to r programming

In summary, here are 10 of our most popular r programming courses

Skills you can learn in Data Analysis

Frequently Asked Questions about R Programming

What is R programming?‎

Why learn R programming?‎

What are typical careers that use R programming?‎

How can online courses help me learn R programming?‎

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Start or advance your career

Browse popular topics

Popular courses and articles

Earn a degree or certificate online

Coursera

Community

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