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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

    • U

      University of Colorado Boulder

      Power Electronics Graduate Certificate

      Skills you'll gain: Computer Vision, Power Electronics, Debugging, Display Devices, Control Systems, Image Analysis, Computer Displays, Tensorflow, Semiconductors, Electronic Systems, Deep Learning, Systems Design, Artificial Neural Networks, Electrical Engineering, USB, Electrical Systems, Computer Programming Tools, Technical Design, Embedded Systems, Electrical Power

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Cloud Spanner について

      Skills you'll gain: Relational Databases, Database Administration, Databases, Google Cloud Platform, Database Management, Database Architecture and Administration, SQL, Cloud Applications, Database Design, Dataflow, Application Performance Management, Data Migration

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Gestión y Políticas en Salud Pública

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Business Analytics, Gerontology, Health Policy, Statistical Hypothesis Testing, Healthcare Ethics, Digital Transformation, Biostatistics, Assertiveness, Telehealth, Descriptive Statistics, Health Disparities, Object Oriented Programming (OOP), Public Health, Occupational Safety and Health Administration (OSHA), Policy Analysis, Program Evaluation, Health Systems

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      透過 Agentspace 加速交流知識

      Skills you'll gain: Google Workspace, Collaborative Software, OAuth, Information Management, Data Management, Data Sharing, Generative AI Agents, Data Access, Productivity Software, Cloud Storage, Content Management Systems, Artificial Intelligence, Application Programming Interface (API), Identity and Access Management

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Graduate Certificate in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • I

      IIT Roorkee

      Executive MBA

      Skills you'll gain: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Innovation, Succession Planning, Management Accounting, Supply Chain Management, Statistical Process Controls, Product Management, Marketing Management, Revenue Management, Sampling (Statistics), Production Schedule, Project Portfolio Management, Financial Statement Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Open-Source QA: Cypress, JMeter & xUnit Testing

      Skills you'll gain: JUnit, Test Automation, Unit Testing, Software Testing, Continuous Integration, Performance Testing, Selenium (Software), Quality Assurance, Integration Testing, Test Case, CI/CD, Application Performance Management, Java

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      데이터 분석가를 위한 BigQuery

      Skills you'll gain: Looker (Software), SQL, Business Intelligence, Data Cleansing, Big Data, Data Manipulation, Data Pipelines, Data Analysis, Data Visualization Software, Data Transformation, Google Sheets, Extract, Transform, Load, Data Processing, Data Integration, Data Storage Technologies, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 机器学习推理功能

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Google Cloud Platform, Machine Learning, SQL

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Inversiones y Finanzas Aplicadas

      Skills you'll gain: Financial Statement Analysis, Descriptive Analytics, Financial Statements, Business Analytics, Business Valuation, FinTech, Portfolio Management, Derivatives, Corporate Finance, Governance, Customer Analysis, Risk Analysis, Credit Risk, Digital Transformation, Cloud Security, Assertiveness, Object Oriented Programming (OOP), Financial Analysis, Investments, Complex Problem Solving

      Earn a degree

      Degree · 1 - 4 Years

    R Programming learners also search

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

    • Power Electronics Graduate Certificate: University of Colorado Boulder
    • Cloud Spanner について: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Certificado en Gestión y Políticas en Salud Pública: Pontificia Universidad Católica de Chile
    • 透過 Agentspace 加速交流知識: Google Cloud
    • Graduate Certificate in Computer Science: University of London
    • Executive MBA: IIT Roorkee
    • Graduate Diploma in Computer Science: University of London
    • Open-Source QA: Cypress, JMeter & xUnit Testing: Coursera Instructor Network
    • 데이터 분석가를 위한 BigQuery: Google Cloud

    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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