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  • R Programming

R Courses

R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.


Popular R Courses and Certifications


  • Status: Preview
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    U

    University of Colorado Boulder

    Gut Check: Exploring Your Microbiome

    Skills you'll gain: Microbiology, Health Informatics, Big Data, Biostatistics, Data Analysis, Immunology, Molecular Biology, Nutrition and Diet, Biology, Specimen Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    M

    Microsoft

    Boost R Coding with GitHub Copilot

    Skills you'll gain: Microsoft Copilot, Version Control, Collaborative Software, GitHub, Microsoft Visual Studio, Software Documentation, AI Workflows, R Programming, Git (Version Control System), Computer Programming Tools, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Web Design for Everybody Capstone

    Skills you'll gain: Wireframing, Web Content Accessibility Guidelines, Responsive Web Design, HTML and CSS, Browser Compatibility, Web Design, Web Design and Development, Front-End Web Development, User Interface (UI), Verification And Validation, Cascading Style Sheets (CSS), Web Development, Usability, Javascript

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    571 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 1: Foundations of Robot Motion

    Skills you'll gain: Robotics, Engineering, Mechanics, Mathematical Modeling, Simulation and Simulation Software, Matlab, Computer Programming Tools, Physics, Angular

    4.7
    Rating, 4.7 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

    Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Analyze

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Systems Of Measurement, Data Analysis, Statistical Methods, Probability, Statistics, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing Mobile Apps with React Native

    Skills you'll gain: React Native, Mobile Development, React Redux, Ajax, User Interface and User Experience (UI/UX) Design, Front-End Web Development, Javascript, React.js, Data Structures, Application Development, Apple iOS, Debugging, iOS Development, JavaScript Frameworks, User Story, Android Development, UI Components, Cross Platform Development, JSON, Flutter (Software)

    4.4
    Rating, 4.4 out of 5 stars
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    950 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Android Development, Data Preprocessing, Data Processing, Computer Vision, Swift Programming, MLOps (Machine Learning Operations), Model Evaluation, Mobile Development, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Communication

    4.6
    Rating, 4.6 out of 5 stars
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    790 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    951 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Gut Check: Exploring Your Microbiome: University of Colorado Boulder
  • Boost R Coding with GitHub Copilot: Microsoft
  • Web Design for Everybody Capstone: University of Michigan
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
  • Six Sigma Tools for Analyze: Kennesaw State University
  • Developing Mobile Apps with React Native: IBM
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Coding Interview Preparation: Meta

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Analytics (85)
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Python Programming (47)
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R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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