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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

      Meta

      Programming Fundamentals in Kotlin

      Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Programming Principles, Android Development, Data Structures, Computer Programming, Mobile Development, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      325 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Getting started with TensorFlow 2

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Supervised Learning, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter

      4.9
      Rating, 4.9 out of 5 stars
      ·
      573 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      324 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Applied Business Analytics

      Skills you'll gain: Business Analytics, Data Processing, Data Manipulation, Analytics, Data Transformation, Business Intelligence, Business Process, Pandas (Python Package), Data Analysis, Data Literacy, Data Cleansing, Data-Driven Decision-Making, Data Presentation, Technical Communication

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Battery State-of-Charge (SOC) Estimation

      Skills you'll gain: Estimation, Matlab, Simulations, Numerical Analysis, Anomaly Detection, Probability, Performance Tuning, Data Validation, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Programming in Java: A Hands-on Introduction

      Skills you'll gain: Apache Maven, Data Import/Export, Object Oriented Programming (OOP), JSON, Java Programming, Debugging, JUnit, Java, Software Documentation, Programming Principles, Data Structures, Computer Programming, Restful API, Integrated Development Environments, File Management, Data Validation, Package and Software Management, Network Protocols, Unit Testing, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Accounting and Finance Software, Specialized Accounting, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Data Collection, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      IoT Devices

      Skills you'll gain: Internet Of Things, Embedded Software, Wireless Networks, Network Protocols, Emerging Technologies, Data Science, Embedded Systems, Network Infrastructure, General Networking, Network Security, Amazon Web Services, Cloud Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Responsive Web Design, Unix Commands, Git (Version Control System), Front-End Web Development, GitHub, Database Design, Database Management Systems, Algorithms, MySQL, Bootstrap (Front-End Framework), Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      479 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Concurrent Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Computer Science, Performance Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      663 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    R Programming learners also search

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    1…636465…295

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

    • Programming Fundamentals in Kotlin: Meta
    • Getting started with TensorFlow 2: Imperial College London
    • Survival Analysis in R for Public Health: Imperial College London
    • Introduction to Applied Business Analytics: University of Illinois Urbana-Champaign
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Battery State-of-Charge (SOC) Estimation: University of Colorado Boulder
    • Programming in Java: A Hands-on Introduction: Codio
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign
    • IoT Devices: University of Illinois Urbana-Champaign
    • Desarrollador back-end de Meta: Meta

    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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