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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
      M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Cloud Systems Software

      Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Infrastructure, Distributed Computing, Virtualization, Data Store, Multi-Tenant Cloud Environments, Virtual Machines, Scalability, Apache Hadoop

      4.6
      Rating, 4.6 out of 5 stars
      ·
      312 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      NIIT

      RESTful Microservices Using Node.js and Express

      Skills you'll gain: Node.JS, API Gateway, MySQL, Restful API, MongoDB, Microservices, API Design, NoSQL, Database Design, Relational Databases, Unit Testing, SQL, Databases, Server Side, Application Deployment, Javascript, Application Programming Interface (API), Software Documentation, Data Modeling, Data Integrity

      3.7
      Rating, 3.7 out of 5 stars
      ·
      113 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Программирование для всех (начало работы с Python)

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      97 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidade de São Paulo

      Processamento Neural de Linguagem Natural em Português I

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Text Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Automation and Scripting with Python

      Skills you'll gain: Web Scraping, Git (Version Control System), Scripting, Version Control, Test Automation, Software Testing, Cloud API, Automation, Restful API, Application Programming Interface (API), Scalability, Python Programming, Data Cleansing, Performance Tuning, File Management

      3.7
      Rating, 3.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines

      Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, Data Transformation, Jupyter, Google Cloud Platform, JSON, SQL

      4
      Rating, 4 out of 5 stars
      ·
      41 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Working with Data in iOS

      Skills you'll gain: Core Data (Software), Restful API, Apple iOS, iOS Development, JSON, Swift Programming, Application Programming Interface (API), Apple Xcode, Mobile Development, Application Development, Data Modeling, Authentications, Data Management, Data Storage, Network Protocols

      4
      Rating, 4 out of 5 stars
      ·
      49 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Our Share: Employee Ownership as a Wealth Sharing Tool

      Skills you'll gain: Employee Engagement, Diversity Equity and Inclusion Initiatives, Social Justice, Workforce Development, Compensation Management, Compensation Strategy, Economics, Policy, and Social Studies, Economic Development, Community Development, Governance, Business Modeling, Business Research, Succession Planning, Research

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Access Bioinformatics Databases with Biopython

      Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization Software, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      43 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Generative AI Applications

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Data Governance, Large Language Modeling, API Design, Cost Management, Information Privacy, Business Ethics

      Beginner · Professional Certificate · 1 - 3 Months

    R Programming learners also search

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

    • Predictive Modeling and Machine Learning with MATLAB: MathWorks
    • Cloud Systems Software: Georgia Institute of Technology
    • RESTful Microservices Using Node.js and Express: NIIT
    • Программирование для всех (начало работы с Python): University of Michigan
    • Processamento Neural de Linguagem Natural em Português I: Universidade de São Paulo
    • Automation and Scripting with Python: Microsoft
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Serverless Data Processing with Dataflow: Develop Pipelines: Google Cloud
    • Working with Data in iOS: Meta
    • Our Share: Employee Ownership as a Wealth Sharing Tool: Rutgers the State University of New Jersey

    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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