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 resultados referentes a "r programming"

Johns Hopkins University
Data Science: Foundations using R
Habilidades que você terá: Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Knitr, Probability & Statistics, R Programming, Rstudio, Software Engineering Tools, Statistical Programming
4.6
(46.4k avaliações)
Beginner · Specialization · 3+ Months
Duke University
Data Analysis with R
Habilidades que você terá: Algebra, Bayesian Statistics, Data Analysis, Data Mining, Econometrics, Experiment, General Statistics, Inference, Linear Regression, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Statistical Inference, Statistical Programming
4.7
(6.5k avaliações)
Beginner · Specialization · 3+ Months
IBM
IBM Data Analytics with Excel and R
Habilidades que você terá: 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, Pivot Table, Plot (Graphics), Probability & Statistics, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming
4.7
(8.9k avaliações)
Beginner · Professional Certificate · 3+ Months
Johns Hopkins University
Data Visualization & Dashboarding with R
Habilidades que você terá: Analysis, Computer Programming, Data Management, Data Visualization, Extract, Transform, Load, Interactive Data Visualization, Plot (Graphics), Programming Principles, Project Management, R Programming, Spatial Analysis, Statistical Programming, Strategy and Operations, Web
4.8
(221 avaliações)
Beginner · Specialization · 3+ Months
Johns Hopkins University
Tidyverse Skills for Data Science in R
Habilidades que você terá: 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 avaliações)
Beginner · Specialization · 3+ Months
IBM
Applied Data Science with R
Habilidades que você terá: 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 avaliações)
Beginner · Specialization · 3+ Months

Pesquisas relacionadas a r programming

advanced r programming

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introduction to r programming for data science

introduction to r programming and tidyverse

data analysis with r programming

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r-programmierung zur datenanalyse

Em resumo, aqui estão 10 dos nossos cursos mais populares r programming

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 and Tidyverse: University of Colorado Boulder
Introduction to R Programming for Data Science: IBM

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Perguntas frequentes sobre Linguagem 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.‎

Este conteúdo de Perguntas frequentes foi disponibilizado apenas para fins informativos. Os aprendizes são aconselhados a realizar pesquisas adicionais para garantir que os cursos e outras credenciais buscadas atendam a seus objetivos pessoais, profissionais e financeiros.