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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


  • U

    University of Michigan

    Programming in C

    Skills you'll gain: C (Programming Language), Programming Principles, C and C++, C++ (Programming Language), Algorithms, Memory Management, Data Structures, Other Programming Languages, System Programming, Computer Programming, Python Programming, Numerical Analysis

    4.5 stars, 102 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (102) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6 stars, 2.4K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (2.4K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Numerical Analysis

    4.9 stars, 4.7K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (4.7K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Colorado System

    C# Programming for Unity Game Development

    Skills you'll gain: Object Oriented Design, Unity Engine, Object Oriented Programming (OOP), Video Game Development, Software Design Patterns, C# (Programming Language), Debugging, Data Structures, Software Design, Game Design, Prototyping, Programming Principles, Data Storage, Graph Theory, Code Reusability, C and C++, Event-Driven Programming, Software Architecture, Application Design, Algorithms

    4.7 stars, 2.8K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (2.8K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Project Schedules, Business Process, Project Management

    4.7 stars, 4.4K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (4.4K) · Beginner · Specialization · 3 - 6 Months

    Status: Trending right now
    Trending right now
    Status: Free trial
    Free trial
  • U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Software Engineering, Algorithms, Memory Management, Computer Programming Tools, Debugging, Program Development, Database Systems, Theoretical Computer Science

    4.7 stars, 3.5K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.7 (3.5K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7 stars, 3.8K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Mathematical Modeling, Applied Mathematics

    4.7 stars, 3.6K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.7 (3.6K) · Advanced · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to DevOps

    Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD, Test Driven Development (TDD), Agile Software Development, Scrum (Software Development), Continuous Deployment, Software Development Methodologies, Behavior-Driven Development, Cloud Computing Architecture, Continuous Delivery, Performance Metric, Team Performance Management, Accountability, Culture Transformation, Microservices, Organizational Development

    4.8 stars, 4.2K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (4.2K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Data-Driven Decision-Making, Statistical Analysis, Jupyter, Python Programming

    4.6 stars, 3.4K reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.6 (3.4K) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Washington

    Programming Languages, Part A

    Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Object Oriented Programming (OOP), Code Reusability, Development Environment

    4.9 stars, 1.9K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.9 (1.9K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Alberta

    Introduction to Software Product Management

    Skills you'll gain: Agile Software Development, Agile Methodology, Requirements Analysis, Software Development, Product Requirements, Requirements Management, Product Management, Software Development Methodologies, Software Engineering, Project Planning, Process Development, Project Management

    4.6 stars, 7.8K reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (7.8K) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1…222324…513

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

  • Programming in C: University of Michigan
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • C# Programming for Unity Game Development: University of Colorado System
  • Six Sigma Yellow Belt: Kennesaw State University
  • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
  • Introduction to Machine Learning: Duke University
  • Self-Driving Cars: University of Toronto
  • Introduction to DevOps: IBM
  • Statistics with Python: University of Michigan

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Data Modeling (21)
Data Manipulation (20)

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