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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227 résultats pour ''r programming'

Johns Hopkins University
Data Science: Foundations using R
Compétences que vous acquerrez : Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Github, Knitr, Probability & Statistics, R Programming, Rstudio, Software Engineering Tools, Statistical Programming
4.6
(46.4k avis)
Beginner · Specialization · 3+ Months
Duke University
Data Analysis with R
Compétences que vous acquerrez : Algebra, Bayesian Statistics, Data Analysis, Data Mining, Econometrics, Experiment, General Statistics, Inference, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Statistical Inference, Statistical Programming
4.7
(6.5k avis)
Beginner · Specialization · 3+ Months
IBM
IBM Data Analytics with Excel and R
Compétences que vous acquerrez : Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Marketing, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming
4.7
(8.8k avis)
Beginner · Professional Certificate · 3+ Months
Johns Hopkins University
Data Visualization & Dashboarding with R
Compétences que vous acquerrez : Computer Programming, Data Management, Data Visualization, Extract, Transform, Load, Ggplot2, Interactive Data Visualization, Plot (Graphics), Programming Principles, Project Management, R Programming, Spatial Analysis, Statistical Programming, Strategy and Operations, Web
4.8
(221 avis)
Beginner · Specialization · 3+ Months
Johns Hopkins University
Tidyverse Skills for Data Science in R
Compétences que vous acquerrez : Advertising, Business Analysis, Communication, Computational Logic, Computer Program, Computer Programming, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Extract, Transform, Load, Ggplot2, Machine Learning, Marketing, Mathematics, Natural Language Processing, Plot (Graphics), Programming Principles, R Programming, SQL, Software Architecture, Software Engineering, Spreadsheet Software, Statistical Programming, Theoretical Computer Science
4.4
(64 avis)
Beginner · Specialization · 3+ Months
IBM
Applied Data Science with R
Compétences que vous acquerrez : Advertising, Communication, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Extract, Transform, Load, General Statistics, Marketing, Mathematics, Plot (Graphics), Probability & Statistics, R Programming, Regression, SQL, Statistical Programming, Statistical Visualization
4.4
(228 avis)
Beginner · Specialization · 3+ Months
Google
Google Data Analytics
Compétences que vous acquerrez : Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, 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, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science
4.8
(57.6k avis)
Beginner · Professional Certificate · 3+ Months

Recherches liées à r programming

advanced r programming

the r programming environment

introduction to r programming for data science

introduction to r programming and tidyverse

data analysis with r programming

application of data analysis in business with r programming

r-programmierung zur datenanalyse

En résumé, voici 10 de nos cours r programming les plus populaires

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
IBM Data Analytics with Excel and R: IBM
Getting Started with R: Coursera Project Network
Data Visualization & Dashboarding with R: Johns Hopkins University
Tidyverse Skills for Data Science in R: Johns Hopkins University
Introduction to R Programming for Data Science: IBM
Application of Data Analysis in Business with R Programming: Coursera Project Network

Compétences que vous avez acquises en Data Analysis

Analytique (85)

Big Data (64)

Programmation En Python (47)

Business Analytics (40)

Analyse Statistique (36)

SQL (33)

Modèle De Données (29)

Exploration De Données (27)

Exploration Analytique De Données (26)

Modélisation Des Données (21)

Manipulation De Données (20)

Questions fréquentes sur La programmation en R

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.‎

Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.