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    • R Programming

    篩選依據

    ''r programming'的 323 個結果

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      Johns Hopkins University

      Data Science: Foundations using R

      您將獲得的技能: R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)

      4.6

      (47.2k 條評論)

      Beginner · Specialization · 3-6 Months

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      Google

      Data Analysis with R Programming

      您將獲得的技能: Data Science, R Programming, Statistical Programming, Data Visualization, Statistical Visualization, Data Analysis, Data Analysis Software, Business Analysis, Computer Programming, Computer Programming Tools, Plot (Graphics), Statistical Analysis, Visualization (Computer Graphics)

      4.8

      (6.5k 條評論)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      R Programming

      您將獲得的技能: R Programming, Data Analysis, General Statistics, Computer Programming, Data Structures, Exploratory Data Analysis, Linear Algebra, Probability & Statistics, Probability Distribution, Statistical Programming, Statistical Tests

      4.5

      (21.9k 條評論)

      Intermediate · Course · 1-4 Weeks

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      Duke University

      Data Analysis with R

      您將獲得的技能: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Data Science, Probability Distribution, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k 條評論)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      您將獲得的技能: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (102.2k 條評論)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      您將獲得的技能: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.9k 條評論)

      Beginner · Professional Certificate · 3-6 Months

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      Coursera Project Network

      Getting Started with R

      您將獲得的技能: R Programming, Statistical Programming, Data Analysis, Data Science

      4.4

      (305 條評論)

      Beginner · Guided Project · Less Than 2 Hours

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      Imperial College London

      Statistical Analysis with R for Public Health

      您將獲得的技能: Probability & Statistics, General Statistics, Regression, Business Analysis, Statistical Analysis, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Programming, Mathematics, Statistical Tests, R Programming, Probability Distribution, Correlation And Dependence, Basic Descriptive Statistics, Econometrics, Estimation, Bayesian Statistics, Exploratory Data Analysis, Critical Thinking, Data Analysis Software, Forecasting

      4.7

      (1.7k 條評論)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Visualization & Dashboarding with R

      您將獲得的技能: R Programming, Statistical Programming, Computer Programming Tools, Data Management, Data Visualization, Plot (Graphics), Communication, Computer Graphics, Computer Programming, Data Analysis, Geovisualization, Human Computer Interaction, Interactive Data Visualization, Interactive Design, Programming Principles, Project Management, Spatial Analysis, Statistical Visualization, Strategy and Operations

      4.8

      (294 條評論)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Introduction to R Programming for Data Science

      您將獲得的技能: R Programming, Computational Logic, Computer Programming, Data Management, Data Science, Extract, Transform, Load, Programming Principles, Statistical Programming, Theoretical Computer Science

      4.5

      (256 條評論)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Introduction to R Programming and Tidyverse

      您將獲得的技能: R Programming, Statistical Programming, Business Analysis, Computer Programming, Data Analysis, Exploratory Data Analysis, Graph Theory, Mathematics, Probability & Statistics, Programming Principles

      4.1

      (17 條評論)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      Getting Started with Rstudio

      您將獲得的技能: Business Analysis, Computer Programming, Data Visualization, Data Visualization Software, R Programming, Statistical Programming

      4.6

      (117 條評論)

      Beginner · Guided Project · Less Than 2 Hours

    與 r programming 相關的搜索

    r programming and tidyverse capstone project
    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
    expressway to data science: r programming and tidyverse
    application of data analysis in business with r programming
    1234…27

    總之,這是我們最受歡迎的 r programming 門課程中的 10 門

    • Data Science: Foundations using R: Johns Hopkins University
    • Data Analysis with R Programming: Google
    • R Programming: Johns Hopkins University
    • Data Analysis with R: Duke University
    • Google Data Analytics: Google
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Getting Started with R: Coursera Project Network
    • Statistical Analysis with R for Public Health: Imperial College London
    • Data Visualization & Dashboarding with R: Johns Hopkins University
    • Introduction to R Programming for Data Science: IBM Skills Network

    您可以在 Data Analysis 中學到的技能

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    數據建模 (21)
    數據操作 (20)

    關於 R 語言程序設計(中文版) 的常見問題

    • 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.‎

    • 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.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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