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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
      J

      Johns Hopkins University

      Importing Data in the Tidyverse

      Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Storage, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Data Import/Export, Role-Based Access Control (RBAC), Stored Procedure, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      183 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Expressway to Data Science: Python Programming

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      285 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Advanced Styling with Responsive Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Cascading Style Sheets (CSS), Bootstrap (Front-End Framework), Wireframing, Front-End Web Development, Browser Compatibility, Usability, User Interface (UI), Web Content Accessibility Guidelines, Mobile Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software, Programming, and Databases

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Cloud Applications, Database Management, Cloud Computing, Relational Databases, Information Technology, Database Application, Software Installation, Browser Compatibility, Computer Programming, System Configuration, Software Versioning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      391 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      338 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAP

      Understanding the Enterprise Systems Environment

      Skills you'll gain: Digital Transformation, Cloud Computing Architecture, Systems Design, Cloud Computing, SAP Applications, Cybersecurity, Software As A Service, Systems Analysis, Enterprise Architecture, Enterprise Resource Planning, Business Technologies, Data Modeling, Business Process Automation, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      204 reviews

      Beginner · Course · 1 - 3 Months

    • L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Jupyter, Engineering Analysis, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Java and Object-Oriented Programming

      Skills you'll gain: Object Oriented Design, Java, Object Oriented Programming (OOP), Unit Testing, Data Structures, Software Testing, Program Development, Programming Principles, Test Driven Development (TDD), Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      320 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Functions, Methods, and Interfaces in Go

      Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Functional Design, Data Structures, Software Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arm

      Arm Cortex-M Architecture and Software Development

      Skills you'll gain: Embedded Software, Performance Tuning, System Programming, Software Development Tools, Embedded Systems, Microarchitecture, Software Development, Real-Time Operating Systems, Development Environment, Hardware Architecture, Debugging, Program Development, Application Security, Build Tools, Computer Architecture, C (Programming Language), System Configuration, Application Development, Security Engineering, C++ (Programming Language)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      187 reviews

      Intermediate · Specialization · 3 - 6 Months

    R Programming learners also search

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    Data Science
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    Beginner R Programming
    R Programming Projects
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    1…535455…292

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

    • Importing Data in the Tidyverse: Johns Hopkins University
    • Snowflake Data Engineering: Snowflake
    • Expressway to Data Science: Python Programming: University of Colorado Boulder
    • Advanced Styling with Responsive Design: University of Michigan
    • Introduction to Software, Programming, and Databases : IBM
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Linear Regression in R for Public Health : Imperial College London
    • Understanding the Enterprise Systems Environment: SAP
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Introduction to Java and Object-Oriented Programming: University of Pennsylvania

    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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