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    • R

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    9293 results for "r"

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      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Analysis, 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 Engineering Tools, Statistical Programming

      4.6

      (46.6k reviews)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      Skills you'll gain: Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Inference, Machine Learning, Machine Learning Algorithms, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Statistical Tests

      4.7

      (6.6k reviews)

      Beginner · Specialization · 3-6 Months

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      Google

      Data Analysis with R Programming

      Skills you'll gain: Rstudio, Data Visualization, Computer Programming, R Programming, Analysis, Data Analysis, Computer Programming Tools, Ggplot2, Plot (Graphics), Statistical Programming, Business Analysis, Statistical Analysis

      4.8

      (4.3k reviews)

      Beginner · Course · 1-3 Months

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      Google

      Google Data Analytics

      Skills you'll gain: 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 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, Network Security, Other Programming Languages, Plot (Graphics), Privacy, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (71k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Johns Hopkins University

      R Programming

      Skills you'll gain: R Programming, Computer Programming, Statistical Programming, Rstudio, Language

      4.5

      (21.7k reviews)

      Intermediate · Course · 1-4 Weeks

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      Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: 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 reviews)

      Beginner · Specialization · 3-6 Months

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      Free

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      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: Computer Programming, Rstudio, Analysis, Statistical Programming, Data Analysis, Linear Algebra, Mathematical Theory & Analysis, Mathematics, R Programming

      4.7

      (7.5k reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Skills you'll gain: 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 reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Getting Started with R

      Skills you'll gain: R Programming, Statistical Programming

      4.4

      (267 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Calculating Descriptive Statistics in R

      Skills you'll gain: Probability, Bioinformatics, Data Analysis, R Programming, Statistical Programming, Probability & Statistics, Business Analysis, General Statistics, Analysis

      4.8

      (33 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      Applied Data Science with R

      Skills you'll gain: Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Extract, Transform, Load, Interactive Data Visualization, Marketing, Plot (Graphics), Probability & Statistics, Programming Principles, R Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.5

      (383 reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Skills you'll gain: Advertising, Analysis, Apache, Big Data, Business Analysis, 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, Software, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.7

      (10.8k reviews)

      Beginner · Professional Certificate · 3-6 Months

    Searches related to r

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    In summary, here are 10 of our most popular r courses

    • 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
    • Statistical Analysis with R for Public Health: Imperial College London
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Data Visualization & Dashboarding with R: Johns Hopkins University
    • Getting Started with R: Coursera Project Network
    • Calculating Descriptive Statistics in R: Coursera Project Network

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about R

    • 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).‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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