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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
      Free
      C

      Coursera Project Network

      Create a Lead Generation Messenger Chatbot using Chatfuel

      Skills you'll gain: Lead Generation, Email Marketing, Marketing Automation, Google Sheets, Application Deployment, Real Time Data, Customer Communications Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      308 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      The Fundamentals of Computing Capstone Exam

      Skills you'll gain: Theoretical Computer Science, Computer Science, Computer Programming, Computational Thinking, Programming Principles, Debugging, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Peking University

      算法基础

      Skills you'll gain: Algorithms, Program Development, Programming Principles, Computational Thinking, Data Structures, Graph Theory, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      321 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Programming in Swift

      Skills you'll gain: Swift Programming, Apple iOS, Unit Testing, Apple Xcode, Development Testing, Software Testing, Object Oriented Programming (OOP), Data Structures, Software Design Patterns, Software Design, Data Management, Debugging, Functional Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      86 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Engineering Maintainable Android Apps

      Skills you'll gain: JUnit, Unit Testing, Maintainability, Software Design Patterns, Software Testing, Test Automation, Integration Testing, Test Driven Development (TDD), Development Testing, Testability, Software Engineering, Secure Coding, Android Development, Application Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      297 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Getting Started with Generative AI API

      Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, ChatGPT, Image Analysis, Applied Machine Learning, Animations, Natural Language Processing, Visualization (Computer Graphics), Application Programming Interface (API), Computer Graphics, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computer Vision, Graphic and Visual Design, Performance Tuning

      4
      Rating, 4 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Correlation Analysis, Ethical Standards And Conduct, Statistics, Predictive Modeling, Innovation, Sustainability Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Delivery Problem

      Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Operations Research, Data Structures, Applied Mathematics, Python Programming, Computer Programming, Program Development, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 1 - 3 Months

    • S

      SAS

      Practical SAS Programming and Certification Review

      Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      356 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Developing Applications in Python on AWS

      Skills you'll gain: Software Architecture, Amazon DynamoDB, Cloud Applications, Databases, Amazon Web Services, Event-Driven Programming, API Gateway, Relational Databases, Serverless Computing, Python Programming, Service Oriented Architecture, Microservices, Application Programming Interface (API), NoSQL, Application Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      C# Class Development

      Skills you'll gain: Unity Engine, Video Game Development, C# (Programming Language), Game Design, Object Oriented Programming (OOP), Software Design, Program Development, Application Development, Development Environment, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      64 reviews

      Intermediate · Course · 1 - 4 Weeks

    R Programming learners also search

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    1…959697…297

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

    • Create a Lead Generation Messenger Chatbot using Chatfuel: Coursera Project Network
    • The Fundamentals of Computing Capstone Exam: Rice University
    • 算法基础: Peking University
    • Advanced Programming in Swift: Meta
    • Engineering Maintainable Android Apps: Vanderbilt University
    • Getting Started with Generative AI API: Codio
    • Business intelligence and data analytics: Generate insights: Macquarie University
    • Delivery Problem: University of California San Diego
    • Explainable AI (XAI): Duke University
    • Practical SAS Programming and Certification Review: SAS

    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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