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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: New
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    Packt

    Google Colab for Data Science & AI using Python

    Skills you'll gain: Plotly, Object Oriented Programming (OOP), Matplotlib, Pandas (Python Package), Data Visualization, Interactive Data Visualization, Seaborn, Data Analysis, NumPy, Data Visualization Software, Data Structures, Restful API, Python Programming, Application Programming Interface (API), Scatter Plots, Data Manipulation, Programming Principles, Computer Programming, Data Transformation, Program Development

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    University of London

    Introduction to Computer Programming

    Skills you'll gain: Debugging, Development Environment, Javascript, Computer Programming Tools, Computer Graphics, Software Development Tools, Computer Programming, Graphical Tools, Interactive Design, Human Computer Interaction, Data Management

    4.1
    Rating, 4.1 out of 5 stars
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    931 reviews

    Beginner · Course · 1 - 4 Weeks

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    Logical Operations

    Intro to Python: Setup and Data Processing

    Skills you'll gain: Data Structures, Data Processing, Application Development, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Python Programming, Virtual Machines, Software Development

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Introduction to Python and Google Colab Fundamentals

    Skills you'll gain: Data Structures, Python Programming, Programming Principles, Computer Programming, Program Development, Object Oriented Programming (OOP), Scripting, Debugging, Scripting Languages, Algorithms, Functional Design

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Logical Operations

    PCEP: Python Conditionals, Loops, Functions, and Exceptions

    Skills you'll gain: Program Development, Python Programming, Maintainability, Programming Principles, Scripting, Debugging, Scripting Languages, Computer Programming, Software Development, Functional Design, Computational Logic

    Mixed · Course · 1 - 4 Weeks

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    Logical Operations

    Intro to Python: File Processing and Exception Handling

    Skills you'll gain: File I/O, Debugging, File Management, File Systems, Python Programming, Operating Systems, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Software Development, Cross Platform Development

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Logical Operations

    Intro to Python: Conditionals, Loops, and Functions

    Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Python Programming, Scripting, Scripting Languages, Software Development

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Advanced Styling with Responsive Design

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

    4.7
    Rating, 4.7 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
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    798 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Debunking C++ Myths

    Skills you'll gain: Test Driven Development (TDD), C and C++, C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), System Programming, Functional Design, Secure Coding, Software Architecture, Performance Tuning, Network Troubleshooting

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Software Processes and Agile Practices

    Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development

    4.7
    Rating, 4.7 out of 5 stars
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    5.3K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Google Colab for Data Science & AI using Python: Packt
  • Introduction to Computer Programming : University of London
  • Intro to Python: Setup and Data Processing: Logical Operations
  • Introduction to Python and Google Colab Fundamentals: Packt
  • PCEP: Python Conditionals, Loops, Functions, and Exceptions: Logical Operations
  • Intro to Python: File Processing and Exception Handling: Logical Operations
  • Intro to Python: Conditionals, Loops, and Functions: Logical Operations
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Advanced Styling with Responsive Design: University of Michigan
  • Bayesian Statistics: Duke University

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Data Modeling (21)
Data Manipulation (20)

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