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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
      I

      IBM

      IBM COBOL Basic Testing and Debugging

      Skills you'll gain: COBOL (Programming Language), Debugging, z/OS, Unit Testing, Test Driven Development (TDD), Software Testing, Mainframe Computing, Integrated Development Environments, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Credential Access, discovery, lateral movement & collection

      Skills you'll gain: MITRE ATT&CK Framework, Network Security, Cybersecurity, Python Programming, Data Access, Authorization (Computing), Authentications, Scripting, User Accounts

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python Scripting for DevOps

      Skills you'll gain: Scripting, Scripting Languages, Python Programming, Computer Programming Tools, Devops Tools, Data Structures, Programming Principles, Program Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      24 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Agile Project Management

      Skills you'll gain: User Story, Sprint Planning, Prioritization, Brainstorming, Conflict Management, Agile Project Management, Scaled Agile Framework, Program Management, Backlogs, Innovation, Agile Software Development, Team Motivation, Sprint Retrospectives, Ideation, Solution Design, Agile Methodology, Project Portfolio Management, Empowerment, Discussion Facilitation, Agile Product Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Introduction to Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART), Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      iOS App Store & In-App Purchases

      Skills you'll gain: Apple iOS, iOS Development, Transaction Processing, Software As A Service, Mobile Development, User Interface (UI), UI Components, Payment Systems, User Experience

      4.7
      Rating, 4.7 out of 5 stars
      ·
      88 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Visualizing Filters of a CNN using TensorFlow

      Skills you'll gain: Tensorflow, Applied Machine Learning, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Computer Vision, Scientific Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      78 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Exploiting and Securing Vulnerabilities in Java Applications

      Skills you'll gain: Open Web Application Security Project (OWASP), Authentications, Penetration Testing, Application Security, Vulnerability Assessments, Secure Coding, Authorization (Computing), Java, Dependency Analysis, Docker (Software), JSON, Git (Version Control System)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Interactivity with JavaScript and jQuery

      Skills you'll gain: Javascript and jQuery, jQuery, Scripting, Scripting Languages, Javascript, UI Components, Web Development Tools, Game Design, Object Oriented Programming (OOP), Event-Driven Programming, Animations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      64 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Java Database Connectivity

      Skills you'll gain: Stored Procedure, Hibernate (Java), PL/SQL, Relational Databases, Object-Relational Mapping, SQL, Data Access, Java Platform Enterprise Edition (J2EE), Database Design, Databases, Java, Data Manipulation, Data Mapping, Object Oriented Programming (OOP), Query Languages, Database Management, Database Systems, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Analysis with Pandas and Python

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Integrated Development Environments, Development Environment, Software Installation, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Data Processing with Azure

      Skills you'll gain: Microsoft Azure, Big Data, Data Processing, Analytics, Data Pipelines, Databricks, Apache Spark, PySpark, Data Analysis, Data Warehousing, Extract, Transform, Load, Real Time Data, Data Transformation, Scheduling, Data Storage

      3.7
      Rating, 3.7 out of 5 stars
      ·
      67 reviews

      Intermediate · 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

    • IBM COBOL Basic Testing and Debugging: IBM
    • Credential Access, discovery, lateral movement & collection: Infosec
    • Python Scripting for DevOps: Coursera Project Network
    • Agile Project Management: University of Maryland, College Park
    • Introduction to Deep Learning for Computer Vision: MathWorks
    • iOS App Store & In-App Purchases: LearnQuest
    • Visualizing Filters of a CNN using TensorFlow: Coursera Project Network
    • Exploiting and Securing Vulnerabilities in Java Applications: University of California, Davis
    • Interactivity with JavaScript and jQuery: University of California, Davis
    • Java Database Connectivity: LearnQuest

    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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