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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
      U

      University of California San Diego

      Capstone: Analyzing (Social) Network Data

      Skills you'll gain: Network Analysis, Graph Theory, Technical Communication, Data Structures, Social Sciences, Analytical Skills, Algorithms, Analysis, Computer Science, Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      99 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      iOS App Capstone

      Skills you'll gain: Swift Programming, Apple iOS, User Interface and User Experience (UI/UX) Design, User Interface (UI), Git (Version Control System), Apple Xcode, Mobile Development, User Experience, Wireframing, Application Development, Application Deployment

      4.2
      Rating, 4.2 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to Rust Programming and Core Concepts

      Skills you'll gain: Rust (Programming Language), Development Environment, Programming Principles, Computer Programming Tools, Data Structures, Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of London

      C++ Programming: Classes and Data

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Data Structures, Program Development, Data Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Intro to TensorFlow en Español

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Jupyter, Deep Learning, Machine Learning Methods, Pandas (Python Package), Supervised Learning, Application Programming Interface (API), Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      137 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Building Intelligent Troubleshooting Agents

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, Human Computer Interaction, Artificial Intelligence and Machine Learning (AI/ML), Debugging, Artificial Intelligence, Performance Tuning, Python Programming, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Github CoPilot for Beginners: Write Software With AI

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development, Generative AI, GitHub, Javascript, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Design of Digital Circuits with VHDL Programming

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Electronics Engineering, Hardware Design, Electronic Hardware, Embedded Systems, Computer Engineering, Verification And Validation, Simulation and Simulation Software, Integrated Development Environments, Simulations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Software, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), File Management, Computer Programming Tools, Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 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…132133134…292

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

    • Capstone: Analyzing (Social) Network Data: University of California San Diego
    • iOS App Capstone: Meta
    • Introduction to Rust Programming and Core Concepts: Packt
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • C++ Programming: Classes and Data: University of London
    • Intro to TensorFlow en Español: Google Cloud
    • Building Intelligent Troubleshooting Agents: Microsoft
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Github CoPilot for Beginners: Write Software With AI: Coursera Project Network
    • Design of Digital Circuits with VHDL Programming: L&T EduTech

    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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