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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
      S

      SkillUp EdTech

      Practice Exam for Certified Scrum Master (CSM) Certification

      Skills you'll gain: Agile Methodology, Sprint Retrospectives, Agile Project Management, Sprint Planning, Agile Software Development, User Story, Knowledge Transfer

      4.9
      Rating, 4.9 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Algorithms in Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Data Mining, Python Programming, Linear Algebra, Algorithms, Exploratory Data Analysis, Statistical Analysis

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Automating Image Processing

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Automation, Anomaly Detection, Data Store

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))

      Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Certificado: Google Cloud Digital Leader

      Skills you'll gain: Real Time Data, Cloud Management, Cloud Security, Digital Transformation, Cloud Solutions, Serverless Computing, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Looker (Software), Data Security, Public Cloud, Business Intelligence, Cloud Computing, Cost Management, Data Strategy, Data Transformation, Business Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Database Design & Management with ChatGPT

      Skills you'll gain: Database Design, Data Migration, Generative AI, Software Documentation, Dashboard, Database Management, ChatGPT, Gap Analysis, Database Architecture and Administration, Technical Design, SQL, Prototyping, Performance Testing, Simulation and Simulation Software, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      البرمجة للجميع - بدء استخدام بايثون

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Learning MEAN Stack by Building Real world Application

      Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, MongoDB, Back-End Web Development, Application Frameworks, Javascript, Maintainability, Restful API, Front-End Web Development, Server Side, JavaScript Frameworks, Web Development Tools, Application Deployment, Application Development, Middleware, Authentications, Web Design and Development, Web Applications

      4.1
      Rating, 4.1 out of 5 stars
      ·
      53 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Prediction Models with Sports Data

      Skills you'll gain: Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Data Analysis, Market Data, Performance Analysis, Analytics, Regression Analysis, Probability & Statistics, Data Manipulation, Probability, Ethical Standards And Conduct

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Performing Network, Path, and Text Analyses in SAS Visual Analytics

      Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Business Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      193 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    R Programming learners also search

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

    • Practice Exam for Certified Scrum Master (CSM) Certification: SkillUp EdTech
    • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Automating Image Processing: MathWorks
    • 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3)): National Taiwan University
    • Certificado: Google Cloud Digital Leader: Google Cloud
    • Generative AI Database Design & Management with ChatGPT: Vanderbilt University
    • البرمجة للجميع - بدء استخدام بايثون: University of Michigan
    • Learning MEAN Stack by Building Real world Application: Board Infinity
    • Prediction Models with Sports Data: University of Michigan

    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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