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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

    • U

      University of Colorado Boulder

      Linux Kernel Programming and Introduction to Yocto Project

      Skills you'll gain: System Programming, Linux, Embedded Systems, Debugging, Operating Systems, Peripheral Devices, Build Tools, File Systems, C (Programming Language), Development Environment, Command-Line Interface, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Sydney

      Blockchain Scalability and its Foundations in Distributed Systems

      Skills you'll gain: Blockchain, Distributed Computing, Security Engineering, Network Security, Scalability, Cryptography, Data Integrity, Transaction Processing, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      The Olympic Games and the Media

      Skills you'll gain: Media and Communications, Video Production, Culture, Media Production, Journalism, Intellectual Property, Brand Management, Liberal Arts, Storytelling, Digital Communications, Facebook

      4.7
      Rating, 4.7 out of 5 stars
      ·
      166 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Databases, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      39 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Codio

      C++ Object Basics: Functions, Recursion, and Objects

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Computer Programming, Software Documentation, Maintainability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      162 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      Collaborative Robotics in Industry

      Skills you'll gain: Automation Engineering, Programmable Logic Controllers, Electrical Systems, Hydraulics, Control Systems, Automation, Simulation and Simulation Software, Internet Of Things, Robotic Process Automation, Mechanical Engineering, Real Time Data, Human Machine Interfaces, Industrial Engineering, Manufacturing and Production, Electronics, Hardware Troubleshooting, Image Analysis, Matlab, Equipment Design, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Specialization · 1 - 3 Months

    • S

      SAS

      Structured Query Language (SQL) using SAS

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Integration, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      282 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Geographical Information Systems - Part 1

      Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Data Analysis, NoSQL, Data Modeling, Database Design, Databases, Data Storage Technologies, SQL, Data Storage, Data Capture, Query Languages, Relational Databases

      3.5
      Rating, 3.5 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Cloud Computing Foundations

      Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Continuous Integration, Amazon Web Services, Software Development Methodologies, Platform As A Service (PaaS)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      269 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

      Skills you'll gain: Big Data, Apache Spark, Data Storage Technologies, Apache Hadoop, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Real Time Data, Cloud Computing, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Live Streaming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      340 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Visualization using Plotnine and ggplot

      Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Microsoft Azure Machine Learning

      Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      229 reviews

      Beginner · Course · 1 - 4 Weeks

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
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    1…808182…288

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

    • Linux Kernel Programming and Introduction to Yocto Project: University of Colorado Boulder
    • Blockchain Scalability and its Foundations in Distributed Systems: The University of Sydney
    • The Olympic Games and the Media: Universitat Autònoma de Barcelona
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • C++ Object Basics: Functions, Recursion, and Objects: Codio
    • Collaborative Robotics in Industry: L&T EduTech
    • Structured Query Language (SQL) using SAS : SAS
    • Geographical Information Systems - Part 1: École Polytechnique Fédérale de Lausanne
    • Cloud Computing Foundations: Duke University
    • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign

    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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