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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

    • I

      IBM

      Data Warehouse Fundamentals

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Database Systems, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality

      4.5
      Rating, 4.5 out of 5 stars
      ·
      227 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      Intelligent Digital Factories

      Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Computer Vision, Image Analysis, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Embedded Systems, Machine Learning, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, System Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      300 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Meta

      The Full Stack

      Skills you'll gain: Full-Stack Web Development, Front-End Web Development, Django (Web Framework), Scalability, Responsive Web Design, Web Applications, Back-End Web Development, MySQL, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Cloud Computing, Application Programming Interface (API), Virtual Environment, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      215 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      API Development on Google Cloud's Apigee API Platform

      Skills you'll gain: Application Programming Interface (API), Cloud API, API Design, Continuous Deployment, CI/CD, Restful API, Application Deployment, Google Cloud Platform, Continuous Integration, Middleware, Application Performance Management, JSON, Software Versioning, Proxy Servers, Scalability, Extensible Markup Language (XML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Bioinformatic Methods II

      Skills you'll gain: Bioinformatics, Molecular Biology, Network Analysis, Data Analysis, Big Data, Data Visualization Software, Scientific Visualization, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      486 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      J

      Johns Hopkins University

      R البرمجة باستخدام لغة

      Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis Software, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      432 reviews

      Mixed · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      TDD – Desenvolvimento de Software Guiado por Testes

      Skills you'll gain: Test Driven Development (TDD), Unit Testing, JUnit, Test Automation, Software Testing, Testability, Maintainability, Software Design, Software Development, Object Oriented Programming (OOP), Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      410 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Building Cloud Computing Solutions at Scale

      Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Development, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Extract, Transform, Load, Google Cloud Platform

      4.4
      Rating, 4.4 out of 5 stars
      ·
      458 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      API Security on Google Cloud's Apigee API Platform

      Skills you'll gain: OAuth, Cloud API, Application Programming Interface (API), Restful API, Security Controls, Application Security, Network Security, Data Security, JSON, Identity and Access Management, Threat Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      834 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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, Business Strategies, Internal Auditing, Corporate Finance, Financial Modeling, Financial Statements, Business Strategy, Corporate Accounting, Project Finance, Business Metrics, Overcoming Objections

      4.6
      Rating, 4.6 out of 5 stars
      ·
      267 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Foundations of Coding Full-Stack

      Skills you'll gain: Microsoft Copilot, Programming Principles, Full-Stack Web Development, GitHub, Version Control, Program Development, Debugging, Computational Thinking, Pseudocode, Git (Version Control System), Web Design and Development, Computer Programming, Algorithms, Web Development, C# (Programming Language), Data Structures, Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      57 reviews

      Beginner · Course · 1 - 3 Months

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…676869…285

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

    • Data Warehouse Fundamentals: IBM
    • Intelligent Digital Factories: L&T EduTech
    • The Full Stack: Meta
    • API Development on Google Cloud's Apigee API Platform: Google Cloud
    • Bioinformatic Methods II: University of Toronto
    • R البرمجة باستخدام لغة: Johns Hopkins University
    • Statistics for Data Science with Python: IBM
    • TDD – Desenvolvimento de Software Guiado por Testes: Instituto Tecnológico de Aeronáutica
    • Building Cloud Computing Solutions at Scale: Duke University
    • API Security on Google Cloud's Apigee API Platform: 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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