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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

    • G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Computer Programming, Programming Principles, Scripting, Data Processing, Data Manipulation, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Visualization, Probability & Statistics, Tableau Software, Data Manipulation, Probability Distribution, Statistical Analysis, Advanced Analytics, Object Oriented Programming (OOP), Data Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Logic, Cryptography, Computational Thinking, Pseudocode, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Encryption, Network Model, Linear Algebra, Analysis, Mathematical Modeling

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      775 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Logic, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Graph Theory, Advanced Mathematics, Analysis, Emerging Technologies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      216 reviews

      Advanced · Course · 1 - 4 Weeks

    • G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Probability & Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Statistical Inference, Probability, Statistical Programming, A/B Testing, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      776 reviews

      Advanced · Course · 1 - 3 Months

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Data Analysis, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Data Manipulation, Data Cleansing, Feature Engineering

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Reproducibility in Cancer Informatics

      Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Development Environment, Automation, Scientific Methods

      Advanced · Course · 1 - 3 Months

    • G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Test Automation, CI/CD, Cloud Infrastructure, Cloud Computing, Technical Communication, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      446 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Artificial Neural Networks, Global Positioning Systems, Visualization (Computer Graphics), Hardware Architecture, Process Control, Systems Architecture, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Machine Learning Methods, Verification And Validation, Mechanical Engineering, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: ChatGPT, Generative AI, Mobile Development, OpenAI, CI/CD, Software Development, Apple iOS, Software Development Life Cycle, DevSecOps, Data Ethics, Application Development, Natural Language Processing, Cloud Development, Prototyping, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, IBM Cloud, Software Development Tools, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Advanced · Specialization · 1 - 3 Months

    • E

      ESSEC Business School

      Strategic Business Analytics

      Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Advanced Analytics, Statistical Analysis, Communication, Market Research, Complex Problem Solving, Analytics, Business Analysis, Data Analysis, Value Propositions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.3K reviews

      Advanced · Specialization · 3 - 6 Months

    R Programming learners also search

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    1234…13

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

    • Get Started with Python: Google
    • Google Advanced Data Analytics: Google
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • The Power of Statistics: Google
    • Big Data, Genes, and Medicine: The State University of New York
    • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
    • Google IT Automation with Python: Google
    • MLOps | Machine Learning Operations: Duke University
    • Self-Driving Cars: University of Toronto

    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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