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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
      D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      345 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      535 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Intermediate PostgreSQL

      Skills you'll gain: Stored Procedure, PostgreSQL, SQL, Database Management, Database Design, Relational Databases, Query Languages, Data Manipulation, Data Import/Export, Data Integrity, Text Mining, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Introduction to Python for Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Cybersecurity, Cyber Threat Intelligence, Cyber Operations, Network Security, IT Automation, Scripting, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      398 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Your First Python Program From UST

      Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Meteor.js Development

      Skills you'll gain: MongoDB, JavaScript Frameworks, Web Applications, Authentications, Web Development, Database Application, User Accounts, Application Security, Database Systems, Package and Software Management, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Prompt Engineering, ChatGPT, Data Ethics, Data Visualization Software, SQL, Python Programming, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      116 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization and Transformation with R

      Skills you'll gain: Version Control, Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Software Development Tools

      4.5
      Rating, 4.5 out of 5 stars
      ·
      430 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      437 reviews

      Beginner · Guided Project · Less Than 2 Hours

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…626364…295

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

    • Pointers, Arrays, and Recursion: Duke University
    • Deep Learning and Reinforcement Learning: IBM
    • Natural Language Processing on Google Cloud: Google Cloud
    • Intermediate PostgreSQL: University of Michigan
    • Introduction to Python for Cybersecurity : Infosec
    • Create Your First Python Program From UST: Coursera Project Network
    • Introduction to Meteor.js Development : University of London
    • Generative AI: Enhance your Data Analytics Career : IBM
    • Data Visualization and Transformation with R: Duke University
    • Python, Bash and SQL Essentials for Data Engineering: Duke University

    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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