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    • R Programming

    R Programming Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

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    Explore the R Programming Course Catalog

    • Status: Free Trial
      Free Trial
      S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      iOS Development for Creative Entrepreneurs

      Skills you'll gain: Swift Programming, Objective-C (Programming Language), iOS Development, Core Data (Software), Apple iOS, Video Game Development, Game Design, Apple Xcode, Model View Controller, JSON, User Interface (UI) Design, UI Components, Mobile Development, User Interface and User Experience (UI/UX) Design, OAuth, Responsive Web Design, Prototyping, Animation and Game Design, Human Computer Interaction, UI/UX Strategy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      709 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      BI Essentials for Finance Analysts (Tableau Edition)

      Skills you'll gain: Dashboard, Tableau Software, Interactive Data Visualization, Excel Formulas, Data Visualization Software, Data Modeling, SQL, Data Presentation, E-Commerce, Databases, Data Manipulation, Data Storytelling, Data Analysis, Performance Analysis, Relational Databases, Data Import/Export, Business Intelligence, Data Transformation, Regional Sales, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      EDUCBA

      IoT Enabled Farming

      Skills you'll gain: Internet Of Things, Big Data, Data Management, Wireless Networks, Predictive Analytics, Emerging Technologies, Data-Driven Decision-Making, Real Time Data, Automation, Environmental Science, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      164 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Android App Components - Intents, Activities, and Broadcast Receivers

      Skills you'll gain: Git (Version Control System), Version Control, Android Development, Android Studio, Mobile Development, Java Programming, File Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      800 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Data Analysis

      Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      889 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Introduction to Java Programming: Java Fundamental Concepts

      Skills you'll gain: Java, Integrated Development Environments, Mobile Development, Computer Programming, Programming Principles, Object Oriented Programming (OOP), Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      172 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Meta

      Create the User Interface in Android Studio

      Skills you'll gain: Android Studio, Android Jetpack, Responsive Web Design, UI Components, Kotlin, Mobile Development, User Interface (UI) Design, User Interface (UI), Cross Platform Development, Animations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      145 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Manipulation with dplyr in R

      Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Data Visualization using dplyr and ggplot2 in R

      Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Data Representations

      Skills you'll gain: Development Environment, Data Structures, File Management, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    R Programming learners also search

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

    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • iOS Development for Creative Entrepreneurs: University of California, Irvine
    • BI Essentials for Finance Analysts (Tableau Edition): Corporate Finance Institute
    • IoT Enabled Farming: EDUCBA
    • Android App Components - Intents, Activities, and Broadcast Receivers: Vanderbilt University
    • Python Data Analysis: Rice University
    • Introduction to Java Programming: Java Fundamental Concepts: Coursera Project Network
    • Create the User Interface in Android Studio: Meta
    • Data Manipulation with dplyr 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 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.‎

    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.‎

    Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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