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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321 resultados referentes a "r programming"

University of Colorado Boulder
Expressway to Data Science: R Programming and Tidyverse
Habilidades que você terá: R Programming, Statistical Programming, Mathematics, Business Analysis, Computational Logic, Computer Programming, Data Analysis, Exploratory Data Analysis, Graph Theory, Mathematical Theory & Analysis, Probability & Statistics, Programming Principles, Theoretical Computer Science, Communication
4.2
(18 avaliações)
Beginner · Specialization · 1-3 Months
Duke University
Financial Risk Management with R
Habilidades que você terá: Finance, Probability & Statistics, R Programming, Statistical Programming, Data Analysis, Accounting, Business Analysis, Financial Analysis, Risk Management, Econometrics, Statistical Analysis, Bayesian Statistics, Data Management, Data Structures, Theoretical Computer Science
4.4
(225 avaliações)
Intermediate · Course · 1-4 Weeks
University of Illinois at Urbana-Champaign
Introduction to Business Analytics with R
Habilidades que você terá: R Programming, Statistical Programming, Data Analysis, Exploratory Data Analysis, Basic Descriptive Statistics, Business Analysis, Data Analysis Software, Extract, Transform, Load, Spreadsheet Software, Statistical Analysis, Statistical Visualization, Business Intelligence, Data Structures
4.6
(152 avaliações)
Beginner · Course · 1-4 Weeks
Gratuito
Coursera Project Network
Application of Data Analysis in Business with R Programming
Habilidades que você terá: Big Data, Business Analysis, Business Intelligence, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Exploratory Data Analysis, Probability & Statistics, R Programming, SQL, Statistical Analysis, Statistical Programming, Accounting, Computer Programming, Financial Analysis
4.4
(94 avaliações)
Intermediate · Guided Project · Less Than 2 Hours
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Habilidades que você terá: General Statistics, Probability & Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Business Analysis, Statistical Tests, Basic Descriptive Statistics, Exploratory Data Analysis, R Programming, Statistical Programming, Critical Thinking, Data Analysis Software
4.7
(1.3k avaliações)
Beginner · Course · 1-4 Weeks

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expressway to data science: r programming and tidyverse

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

Expressway to Data Science: R Programming and Tidyverse: University of Colorado Boulder
Financial Risk Management with R: Duke University
The R Programming Environment: Johns Hopkins University
Introduction to EDA in R: Coursera Project Network
Assisting Public Sector Decision Makers With Policy Analysis: University of Michigan
Introduction to Business Analytics with R: University of Illinois at Urbana-Champaign
The Data Scientist’s Toolbox: Johns Hopkins University
Population Health: Responsible Data Analysis: Universiteit Leiden
Exploratory Data Analysis with Textual Data in R / Quanteda: Coursera Project Network
Big Data, Genes, and Medicine: The State University of New York

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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.