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    • R

    筛选依据

    ''r'的 9279 个结果

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      Johns Hopkins University

      Data Science: Foundations using R

      您将获得的技能: Application Development, Business Analysis, Computer Programming, Data Analysis, Data Clustering Algorithms, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Ggplot2, Github, Knitr, Plot (Graphics), Probability & Statistics, R Programming, Software, Software Engineering Tools, Statistical Programming

      4.6

      (46.6k 条评论)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      您将获得的技能: Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Statistical Tests

      4.7

      (6.6k 条评论)

      Beginner · Specialization · 3-6 Months

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      Google

      Data Analysis with R Programming

      您将获得的技能: Computer Programming, Ggplot2, R Programming, Plot (Graphics), Data Analysis, Rstudio, Statistical Programming, Statistical Analysis, Data Visualization, Computer Programming Tools, Analysis, Business Analysis

      4.8

      (4.3k 条评论)

      Beginner · Course · 1-3 Months

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      Google

      Google Data Analytics

      您将获得的技能: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, 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, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Privacy, 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 Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (70.1k 条评论)

      Beginner · Professional Certificate · 3-6 Months

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      Johns Hopkins University

      R Programming

      您将获得的技能: Computer Programming, Language, R Programming, Rstudio, Statistical Programming

      4.5

      (21.7k 条评论)

      Intermediate · Course · 1-4 Weeks

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      Johns Hopkins University

      Data Visualization & Dashboarding with R

      您将获得的技能: Computer Graphics, Computer Programming, Data Management, Data Visualization, Human Computer Interaction, Interactive Data Visualization, Interactive Design, Plot (Graphics), Programming Principles, Project Management, R Programming, Spatial Analysis, Statistical Programming, Strategy and Operations

      4.8

      (238 条评论)

      Beginner · Specialization · 3-6 Months

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      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      您将获得的技能: Rstudio, Computer Programming, Data Analysis, Statistical Programming, R Programming, Analysis

      4.7

      (7.5k 条评论)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Getting Started with R

      您将获得的技能: Statistical Programming, R Programming

      4.4

      (266 条评论)

      Beginner · Guided Project · Less Than 2 Hours

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      Imperial College London

      Statistical Analysis with R for Public Health

      您将获得的技能: Analysis, Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Econometrics, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests

      4.7

      (1.6k 条评论)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Analysis with R

      您将获得的技能: Communication, Business Analysis, Statistical Programming, Marketing, Cleaning, Analysis, Statistical Analysis, Regression, Advertising, Probability & Statistics, R Programming, Data Analysis

      4.7

      (113 条评论)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      您将获得的技能: Advertising, Analysis, Apache, Big Data, Business Analysis, Cleaning, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Interactive Data Visualization, Leadership and Management, Marketing, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Programming Principles, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.7

      (10.7k 条评论)

      Beginner · Professional Certificate · 3-6 Months

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      Coursera Project Network

      Calculating Descriptive Statistics in R

      您将获得的技能: Statistical Programming, Probability & Statistics, Data Analysis, Business Analysis, General Statistics, Probability, R Programming, Bioinformatics, Analysis

      4.8

      (33 条评论)

      Beginner · Guided Project · Less Than 2 Hours

    与 r 相关的搜索

    r programming
    reinforcement learning
    robotics
    react
    risk management
    research
    r studio
    retail
    1234…84

    总之,这是我们最受欢迎的 r 门课程中的 10 门

    • Data Science: Foundations using R: Johns Hopkins University
    • Data Analysis with R: Duke University
    • Data Analysis with R Programming: Google
    • Google Data Analytics: Google
    • R Programming: Johns Hopkins University
    • Data Visualization & Dashboarding with R: Johns Hopkins University
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Getting Started with R: Coursera Project Network
    • Statistical Analysis with R for Public Health: Imperial College London
    • Data Analysis with R: IBM Skills Network

    您可以在 Data Analysis 中学到的技能

    分析 (85)
    大数据 (64)
    Python 程序设计 (47)
    商业分析 (40)
    R 语言程序设计(中文版) (37)
    统计分析 (36)
    SQL (33)
    数据模型 (29)
    数据挖掘 (27)
    探索性数据分析 (26)
    数据建模 (21)
    数据操作 (20)

    关于 R 的常见问题

    • R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. While R is widely used among statisticians and data miners for statistical software and data analysis, it is becoming popular among data scientists as well. Proficiency in R has become a standard requirement for many data science and statistician-related jobs.‎

    • We recommend these courses for those with some basic knowledge of R that want to use it in a Data Science and Software Development context. You may wish to use it for exploratory data analysis, data visualization, probability, inference, linear regression, and more. You may desire to expand your data science skills and use R in your everyday role to interact more with the data you work with.‎

    • According to Burning Glass, there were ~50K job postings in the last 12 months requiring R as a skill. Some of the functional job titles requiring this skill are Business Intelligence Analyst, Operations Research Analyst, Management Analyst, and Market Research Analyst. If your work involves data analysis, modeling, or visualization, R is a powerful skill to add to your portfolio.‎

    • While there are generally no specific prerequisites for beginner-level R courses, programming language basics is one of the key topics you typically need to know before you start to learn R programming language. It can also help if you have a solid understanding of math and statistics before beginning R courses. Introductory-level data visualization skills, such as understanding how plots and graphs work, can also be helpful when learning the R programming language. Additionally, analytical and critical thinking skills can be helpful when you’re starting to study R.‎

    • People who are highly analytical and curious are typically best suited for roles in R. People who enjoy statistics and using statistical models to solve problems can also be well suited to roles in R. Those who have an affinity for using computer technology and machine learning can potentially be well suited to learning this programming language. People who enjoy highly detailed tasks and who have strong problem-solving skills are typically well suited for R roles. Additionally, people who work in fields like lean manufacturing, public health, and finance can be well suited for roles in R.‎

    • Some common career paths for people in R include machine learning engineers, data scientists, data miners, data engineers, and statisticians. These fall under the category of computer programming jobs, which according to the Bureau of Labor Statistics pay a higher than average wage. These types of computer programming jobs typically require a bachelor’s degree. Competition can be stiff for these jobs, though, due to the influx of workers in the field as a result of global trade.‎

    • Mathematics, statistics, and AI are topics you could study that are related to R. Data visualization is another related topic, along with probability and the broader field of data science. You could study the related topics of data structure, data analysis, and data type as part of your R studies. Data manipulation and data cleansing are related topics that you could study, and you could also study GitHub and regular expression (REGEX).‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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