What is R Programming Language?

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. While R is widely used among statisticians and data miners for statistical software and data analysis, it is becoming popular among data scientists as well. Proficiency in R has become a standard requirement for many data science and statistician-related jobs.

We recommend these courses for those with some basic knowledge of R that want to use it in a Data Science and Software Development context. You may wish to use it for exploratory data analysis, data visualization, probability, inference, linear regression, and more. You may desire to expand your data science skills and use R in your everyday role to interact more with the data you work with.

According to Burning Glass, there were ~50K job postings in the last 12 months requiring R as a skill. Some of the functional job titles requiring this skill are Business Intelligence Analyst, Operations Research Analyst, Management Analyst, and Market Research Analyst. If your work involves data analysis, modeling, or visualization, R is a powerful skill to add to your portfolio.

浏览>
R

R 课程

在 Coursera 上探索 100% 在线学位和证书

Master of Business Administration (iMBA)University of Illinois

Master of Computer Science in Data ScienceUniversity of Illinois

Master of Computer and Information TechnologyUniversity of Pennsylvania

Data Science: Foundations using R
Johns Hopkins University
专项课程
评分为 4.6（满分 5 星）。39982 条评论
880k 名学生
Beginner
Statistics with R
Duke University
专项课程
评分为 4.7（满分 5 星）。5486 条评论
260k 名学生
Beginner
Data Science
Johns Hopkins University
专项课程
评分为 4.5（满分 5 星）。42192 条评论
980k 名学生
Beginner
R Programming
Johns Hopkins University
课程
评分为 4.5（满分 5 星）。19255 条评论
540k 名学生
Intermediate
Introducción a Data Science: Programación Estadística con R
Universidad Nacional Autónoma de México
课程
评分为 4.7（满分 5 星）。5883 条评论
160k 名学生
Beginner
Statistical Analysis with R for Public Health
Imperial College London
专项课程
评分为 4.7（满分 5 星）。923 条评论
24k 名学生
Beginner
IBM Data Science
IBM
PROFESSIONAL CERTIFICATE
评分为 4.6（满分 5 星）。62448 条评论
630k 名学生
Beginner
Data Science: Statistics and Machine Learning
Johns Hopkins University
专项课程
评分为 4.4（满分 5 星）。6270 条评论
240k 名学生
Intermediate
Predict Diabetes with a Random Forest using R
Coursera Project Network
新
指导项目
评分为 4.6（满分 5 星）。83 条评论
2.2k 名学生
Intermediate
Mastering Software Development in R
Johns Hopkins University
专项课程
评分为 4.3（满分 5 星）。1268 条评论
58k 名学生
Beginner
Introduction to Probability and Data with R
Duke University
课程
评分为 4.7（满分 5 星）。4364 条评论
190k 名学生
Beginner
Intro to Time Series Analysis in R
Coursera Project Network
新
指导项目
评分为 4.5（满分 5 星）。154 条评论
3.3k 名学生
Beginner
Advanced R Programming
Johns Hopkins University
课程
评分为 4.3（满分 5 星）。502 条评论
24k 名学生
Intermediate
Introduction to Business Analytics with R
University of Illinois at Urbana-Champaign
课程
评分为 4.4（满分 5 星）。81 条评论
4k 名学生
Mixed
Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R
Coursera Project Network
新
指导项目
评分为 4.2（满分 5 星）。33 条评论
Intermediate
Spatial Data Science and Applications
Yonsei University
课程
评分为 4.4（满分 5 星）。298 条评论
13k 名学生
Intermediate
Interviewing and Resume Writing in English
University of Maryland, College Park
专项课程
评分为 4.6（满分 5 星）。459 条评论
77k 名学生
Intermediate
Bayesian Statistics: From Concept to Data Analysis
University of California, Santa Cruz
课程
评分为 4.6（满分 5 星）。2440 条评论
100k 名学生
Intermediate
Custom Reports in Google Analytics
Coursera Project Network
新
指导项目
评分为 4.7（满分 5 星）。47 条评论
2k 名学生
Intermediate
Predict Housing Prices in R on Boston Housing Data
Coursera Project Network
新
指导项目
评分为 4.3（满分 5 星）。29 条评论
Intermediate

Searches related to r

r programming

reinforcement learning

russian

robotics

russian language

react

real estate

react js

总之，这是我们最受欢迎的 r 门课程中的 10 门

Data Science: Foundations using R: Johns Hopkins University
Statistics with R: Duke University
Data Science: Johns Hopkins University
R Programming: Johns Hopkins University
Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
Statistical Analysis with R for Public Health: Imperial College London
IBM Data Science: IBM
Data Science: Statistics and Machine Learning: Johns Hopkins University
Predict Diabetes with a Random Forest using R: Coursera Project Network
Mastering Software Development in R: Johns Hopkins University

您可以在 Data Analysis 中学到的技能

关于 R 的常见问题

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. While R is widely used among statisticians and data miners for statistical software and data analysis, it is becoming popular among data scientists as well. Proficiency in R has become a standard requirement for many data science and statistician-related jobs.
We recommend these courses for those with some basic knowledge of R that want to use it in a Data Science and Software Development context. You may wish to use it for exploratory data analysis, data visualization, probability, inference, linear regression, and more. You may desire to expand your data science skills and use R in your everyday role to interact more with the data you work with.
According to Burning Glass, there were ~50K job postings in the last 12 months requiring R as a skill. Some of the functional job titles requiring this skill are Business Intelligence Analyst, Operations Research Analyst, Management Analyst, and Market Research Analyst. If your work involves data analysis, modeling, or visualization, R is a powerful skill to add to your portfolio.