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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

    • I

      Indian Institute of Technology Guwahati

      Programming with Generative AI

      Skills you'll gain: Microsoft Copilot, Generative AI, GitHub, OpenAI, Software Development Tools, Integrated Development Environments, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Innovation

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      378 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Coding for Designers, Managers, and Entrepreneurs

      Skills you'll gain: User Story, HTML and CSS, Debugging, Model View Controller, Hypertext Markup Language (HTML), Prototyping, Application Programming Interface (API), Javascript, Cascading Style Sheets (CSS), Web Design and Development, Web Applications, User Interface (UI), Interactive Design, Javascript and jQuery, Maintainability, User Centered Design, Scripting, Wireframing, Web Development Tools, Business Logic

      4.2
      Rating, 4.2 out of 5 stars
      ·
      72 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Autonomous Vehicle Engineering

      Skills you'll gain: NoSQL, Control Systems, Apache Hadoop, Apache Hive, Big Data, Model Based Systems Engineering, Database Systems, Artificial Intelligence, Mechanical Engineering, Computer Vision, Laboratory Experience, Simulations, Systems Architecture, Simulation and Simulation Software, Distributed Computing, Equipment Design, Data Processing, Matlab, Global Positioning Systems, Automation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      57 reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      Duke University

      Data Tidying and Importing with R

      Skills you'll gain: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Cleansing, R Programming, Data Transformation, Data Literacy, Exploratory Data Analysis, Data Ethics

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 1 - 3 Months

    • M

      Microsoft

      Create Serverless Applications

      Skills you'll gain: Microsoft Azure, Serverless Computing, Cloud Development, Microsoft Power Automate/Flow, Event-Driven Programming, Cloud Applications, Business Process Automation, Cloud API, Application Programming Interface (API), GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      113 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Vector Database Fundamentals

      Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Relational Databases, Data Store, SQL, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Database Management Systems, Node.JS, Image Analysis, Data Architecture, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • C

      Coursera Project Network

      API Testing Using Rest Assured Test Automation Tool

      Skills you'll gain: JSON, Test Automation, Application Programming Interface (API), Restful API, Unit Testing, Test Case, Integration Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      292 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Peking University

      C程序设计进阶

      Skills you'll gain: Object Oriented Programming (OOP), C (Programming Language), Program Development, Programming Principles, Computer Programming, Data Structures, Debugging, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      827 reviews

      Mixed · Course · 1 - 3 Months

    R Programming learners also search

    R
    Data
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    Data Science
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    Beginner R Programming
    R Programming Projects
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    1…878889…288

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

    • Programming with Generative AI: Indian Institute of Technology Guwahati
    • Algorithmic Thinking (Part 1): Rice University
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Coding for Designers, Managers, and Entrepreneurs: University of Virginia
    • Autonomous Vehicle Engineering: Università di Napoli Federico II
    • Data Tidying and Importing with R: Duke University
    • Explainable AI (XAI): Duke University
    • Create Serverless Applications : Microsoft
    • Vector Database Fundamentals: IBM

    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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