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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''r programming'的 320 個結果

University of Illinois
Master of Business Administration (iMBA)
您將獲得的技能： Accounting, Leadership and Management, Entrepreneurship, Marketing, Finance, Business Analysis, Strategy and Operations, Data Analysis, Research and Design, Financial Accounting, Strategy, Sales, Taxes, Probability & Statistics, Communication, Business Psychology, Financial Analysis, Market Research, Management Accounting, Market Analysis, Mergers & Acquisitions, Investment Management, Statistical Programming, Data Management, Human Resources, Digital Marketing, Financial Management, Audit, Design and Product, General Statistics, Machine Learning, Generally Accepted Accounting Principles (GAAP), Python Programming, Culture, Marketing Management, General Accounting, Corporate Accouting, Data Visualization, Banking, Customer Analysis, Organizational Development, Statistical Analysis, Basic Descriptive Statistics, Regression, Business Development, Marketing Design, Budget Management, Creativity, Innovation, Leadership Development, Product Marketing, Business, Business Communication, Decision Making, Exploratory Data Analysis, Project Management, R Programming, Brand Management, Media Strategy & Planning, Conflict Management, Risk Management, Cost Accounting, Theoretical Computer Science, Collaboration, Operations Management, Accounts Payable and Receivable, Computer Programming, Forecasting, Supply Chain and Logistics, Media Production, Spreadsheet Software, Advertising, Product Lifecycle, Algorithms, Contract Management, Negotiation, Product Management, Critical Thinking, Data Visualization Software, Marketing Psychology, Regulations and Compliance, Machine Learning Algorithms, Advertising Sales, Plot (Graphics), Behavioral Economics, Big Data, Data Analysis Software, Entrepreneurial Finance, Software Engineering, Statistical Tests, Storytelling, Performance Management, Business Design, Data Structures, Databases, Inventory Management, MarTech, Adaptability, Data Mining, Human Computer Interaction, Influencing, Natural Language Processing, People Development, Product Strategy, Social Media, Software Testing, Supply Chain Systems, User Research, Change Management, Correlation And Dependence, Database Administration, Experiment, Human Learning, Probability Distribution, SQL, Statistical Visualization, Survey Creation, Agile Software Development, Bayesian Statistics, BlockChain, Business Intelligence, Business Process Management, Extract, Transform, Load, Graph Theory, Material Handling, Mathematics, Network Analysis, Operations Research, People Management, Planning, Problem Solving, Public Relations, Search Engine Optimization, Securities Sales, Security Engineering, Software Security, Web Design, Web Development, Cash Management, Customer Support, Estimation, Journalism, Microsoft Excel, Packaging and Labeling, Process Analysis, Product Design, Tableau Software, Visual Design, Algebra, Back-End Web Development, Computer Graphics, Data Architecture, Data Model, Data Warehousing, Econometrics, Emotional Intelligence, Employee Relations, Game Theory, Operating Systems, Other Programming Languages, Product Development, Scrum (Software Development), Systems Design, Virtual Reality
獲得學位
Degree · 1-4 Years
University of Illinois at Urbana-Champaign
Master of Science in Accounting
您將獲得的技能： Accounting, Leadership and Management, Entrepreneurship, Marketing, Finance, Business Analysis, Strategy and Operations, Data Analysis, Research and Design, Strategy, Financial Accounting, Sales, Taxes, Communication, Probability & Statistics, Business Psychology, Financial Analysis, Market Research, Market Analysis, Management Accounting, Mergers & Acquisitions, Statistical Programming, Investment Management, Human Resources, Data Management, Digital Marketing, Financial Management, Python Programming, Audit, Design and Product, Corporate Accouting, General Statistics, Machine Learning, Culture, Marketing Management, Generally Accepted Accounting Principles (GAAP), General Accounting, Banking, Customer Analysis, Data Visualization, Organizational Development, Statistical Analysis, Basic Descriptive Statistics, Business Development, Regression, Marketing Design, Creativity, Innovation, Leadership Development, Budget Management, Product Marketing, Computer Programming, Business, Business Communication, Decision Making, Exploratory Data Analysis, Project Management, R Programming, Brand Management, Media Strategy & Planning, Conflict Management, Contract Management, Risk Management, Collaboration, Operations Management, Cost Accounting, Theoretical Computer Science, Media Production, Spreadsheet Software, Accounts Payable and Receivable, Supply Chain and Logistics, Forecasting, Advertising, Product Lifecycle, Algorithms, Data Analysis Software, Regulations and Compliance, Negotiation, Product Management, Machine Learning Algorithms, Critical Thinking, Data Visualization Software, Marketing Psychology, Advertising Sales, Behavioral Economics, Big Data, Entrepreneurial Finance, Software Engineering, Statistical Tests, Storytelling, Plot (Graphics), Performance Management, Business Design, Correlation And Dependence, Data Structures, Databases, Inventory Management, MarTech, Adaptability, Data Mining, Human Computer Interaction, Influencing, Natural Language Processing, People Development, Product Strategy, Social Media, Software Testing, Supply Chain Systems, User Research, Change Management, Human Learning, Survey Creation, Database Administration, Experiment, Probability Distribution, SQL, Statistical Visualization, Agile Software Development, Bayesian Statistics, BlockChain, Business Intelligence, Business Process Management, Employee Relations, Extract, Transform, Load, Graph Theory, Material Handling, Mathematics, Network Analysis, Operations Research, People Management, Planning, Problem Solving, Public Relations, Search Engine Optimization, Securities Sales, Security Engineering, Software Security, Web Design, Web Development, Cash Management, Customer Support, Dimensionality Reduction, Estimation, Journalism, Machine Learning Software, Microsoft Excel, Packaging and Labeling, Process Analysis, Product Design, Statistical Machine Learning, Tableau Software, Visual Design, Algebra, Back-End Web Development, Computer Graphics, Data Architecture, Data Model, Data Warehousing, Econometrics, Emotional Intelligence, Game Theory, Operating Systems, Other Programming Languages, Product Development, Scientific Visualization, Scrum (Software Development), Systems Design, Virtual Reality, Visualization (Computer Graphics)
獲得學位
Degree · 1-4 Years
University of Illinois at Urbana-Champaign
Master of Science in Management
您將獲得的技能： Accounting, Leadership and Management, Marketing, Entrepreneurship, Finance, Strategy and Operations, Business Analysis, Data Analysis, Financial Accounting, Strategy, Sales, Research and Design, Taxes, Communication, Business Psychology, Financial Analysis, Management Accounting, Probability & Statistics, Mergers & Acquisitions, Investment Management, Human Resources, Market Research, Statistical Programming, Digital Marketing, Market Analysis, Audit, Data Management, Design and Product, Machine Learning, Generally Accepted Accounting Principles (GAAP), Python Programming, Culture, Marketing Management, Corporate Accouting, General Accounting, Banking, Customer Analysis, Organizational Development, General Statistics, Statistical Analysis, Basic Descriptive Statistics, Business Development, Data Visualization, Financial Management, Marketing Design, Budget Management, Creativity, Innovation, Leadership Development, Product Marketing, Business, Business Communication, Decision Making, Exploratory Data Analysis, Project Management, Brand Management, Media Strategy & Planning, Conflict Management, R Programming, Regression, Cost Accounting, Operations Management, Risk Management, Media Production, Spreadsheet Software, Accounts Payable and Receivable, Computer Programming, Supply Chain and Logistics, Theoretical Computer Science, Advertising, Collaboration, Product Lifecycle, Contract Management, Negotiation, Product Management, Algorithms, Critical Thinking, Data Visualization Software, Marketing Psychology, Regulations and Compliance, Machine Learning Algorithms, Advertising Sales, Plot (Graphics), Behavioral Economics, Big Data, Data Analysis Software, Entrepreneurial Finance, Software Engineering, Statistical Tests, Storytelling, Performance Management, Business Design, Data Structures, Databases, Forecasting, Inventory Management, MarTech, Adaptability, Data Mining, Human Computer Interaction, Influencing, Natural Language Processing, People Development, Product Strategy, Social Media, Software Testing, Supply Chain Systems, User Research, Change Management, Database Administration, Experiment, Human Learning, SQL, Statistical Visualization, Survey Creation, Agile Software Development, BlockChain, Business Intelligence, Business Process Management, Extract, Transform, Load, Graph Theory, Material Handling, Mathematics, Network Analysis, Operations Research, People Management, Planning, Problem Solving, Public Relations, Search Engine Optimization, Securities Sales, Security Engineering, Software Security, Web Design, Web Development, Probability Distribution, Cash Management, Correlation And Dependence, Customer Support, Journalism, Microsoft Excel, Packaging and Labeling, Process Analysis, Product Design, Tableau Software, Visual Design, Back-End Web Development, Computer Graphics, Data Architecture, Econometrics, Emotional Intelligence, Employee Relations, Game Theory, Operating Systems, Product Development, Scrum (Software Development), Systems Design, Virtual Reality
獲得學位
Degree · 1-4 Years
University of Washington
Practical Predictive Analytics: Models and Methods
您將獲得的技能： Basic Descriptive Statistics, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, General Statistics, Machine Learning, Plot (Graphics), Probability & Statistics, Statistical Analysis, Accounting, Advertising, Algebra, Business Psychology, Communication, Data Structures, Econometrics, Entrepreneurship, Marketing, Regression, Statistical Programming
4.1
（309 條評論）
Mixed · Course · 1-4 Weeks
University of Washington
Social Media Data Analytics
您將獲得的技能： General Statistics, Python Programming, Probability & Statistics, Statistical Programming, Data Analysis, Regression, Statistical Analysis, Computer Programming, Correlation And Dependence, Data Management, Data Structures, Probability Distribution, Basic Descriptive Statistics, Communication, Marketing, Mathematics, Social Media
4.1
（280 條評論）
Intermediate · Course · 1-4 Weeks
University of Maryland, College Park
Survey Data Collection and Analytics
您將獲得的技能： Research and Design, Probability & Statistics, Survey Creation, General Statistics, Data Analysis, Entrepreneurship, Market Research, Big Data, Data Management, Extract, Transform, Load, Communication, Journalism, Leadership and Management, Strategy and Operations
4.3
（1.3k 條評論）
Beginner · Specialization · 3-6 Months

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總之，這是我們最受歡迎的 r programming 門課程中的 10 門

Master of Business Administration (iMBA): University of Illinois
Master of Science in Accounting: University of Illinois at Urbana-Champaign
Master of Science in Management: University of Illinois at Urbana-Champaign
Building R Packages: Johns Hopkins University
Practical Predictive Analytics: Models and Methods: University of Washington
Predictive Analytics for Business with H2O in R: Coursera Project Network
Explainable Machine Learning with LIME and H2O in R: Coursera Project Network
Data-Driven Decision Making Certificate: IIM Kozhikode
Exploratory Data Analysis: Johns Hopkins University
Building Data Visualization Tools: Johns Hopkins University

您可以在 Data Analysis 中學到的技能

關於 R 語言程序設計（中文版）的常見問題

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.‎