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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
      L

      LearnQuest

      Java Enterprise Edition

      Skills you'll gain: Java Platform Enterprise Edition (J2EE), Application Deployment, Web Applications, Application Servers, Java, Object-Relational Mapping, Application Development, Web Development, Web Servers, Application Frameworks, Scripting, Middleware, Server Side, Javascript and jQuery, Data Storage, Apache Tomcat, Enterprise Architecture, Data Sharing, Hypertext Markup Language (HTML), Model View Controller

      4.6
      Rating, 4.6 out of 5 stars
      ·
      210 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Computing Foundations

      Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Continuous Integration, Amazon Web Services, Software Development Methodologies, Platform As A Service (PaaS)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      271 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Applied Mathematics, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      607 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Corporate Entrepreneurship: Innovating within Corporations

      Skills you'll gain: Proposal Development, Business Modeling, Innovation, Entrepreneurship, Customer Analysis, Entrepreneurial Finance, Business Valuation, Market Opportunities, Corporate Strategy, New Business Development, Internal Auditing, Corporate Finance, Financial Modeling, Internal Communications, Financial Statements, Business Strategy, Corporate Accounting, Project Finance, Business Metrics, Value Propositions

      4.6
      Rating, 4.6 out of 5 stars
      ·
      268 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      .Net Full Stack Foundation

      Skills you'll gain: ASP.NET, .NET Framework, C# (Programming Language), Web Applications, Object Oriented Programming (OOP), Web Design and Development, Programming Principles, Full-Stack Web Development, Event-Driven Programming, Debugging, Data Structures

      4.1
      Rating, 4.1 out of 5 stars
      ·
      256 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      407 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      302 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      382 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning

      Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      235 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      A Tour of Google Cloud Hands-on Labs

      Skills you'll gain: Identity and Access Management, Google Cloud Platform, Cloud API, User Accounts, Application Programming Interface (API), Cloud Services, Role-Based Access Control (RBAC)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      262 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 2)

      Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      216 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Applied Python Data Engineering

      Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Kubernetes, Matplotlib, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Devops Tools, Apache Hadoop

      3.8
      Rating, 3.8 out of 5 stars
      ·
      95 reviews

      Intermediate · Specialization · 1 - 3 Months

    R Programming learners also search

    R
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    Beginner R Programming
    R Programming Projects
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    1…697071…296

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

    • Java Enterprise Edition: LearnQuest
    • Cloud Computing Foundations: Duke University
    • Number Theory and Cryptography: University of California San Diego
    • Corporate Entrepreneurship: Innovating within Corporations: University of Maryland, College Park
    • .Net Full Stack Foundation: Board Infinity
    • Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
    • Data Analysis Using Pyspark: Coursera Project Network
    • Algorithmic Thinking (Part 1): Rice University
    • Microsoft Azure Machine Learning: Microsoft
    • A Tour of Google Cloud Hands-on Labs: 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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