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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: Free Trial
    Free Trial
    M

    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, UI/UX Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface and User Experience (UI/UX) Design, Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Functions, Files, and Dictionaries

    Skills you'll gain: Data Import/Export, Python Programming, File Management, Functional Design, Programming Principles, Data Processing, Data Structures, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Interaction Design

    Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, Usability Testing, Human Computer Interaction, A/B Testing, Human Factors, Collaborative Software, Telecommuting, R Programming, Storyboarding

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    188 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    81 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, AI Product Strategy, Natural Language Processing, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Software Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Programming with Python and Java

    Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Java Programming, Eclipse (Software), Application Development, Data Visualization, Data Structures, Data Science, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Programming Principles, Python Programming, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Bayesian Statistics

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

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Web Design for Everybody: Basics of Web Development & Coding

    Skills you'll gain: Wireframing, Responsive Web Design, HTML and CSS, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Web Design, Hypertext Markup Language (HTML), Browser Compatibility, Bootstrap (Front-End Framework), Javascript, Front-End Web Development, User Interface (UI), Verification And Validation, Web Development, Web Design and Development, Interactive Design, Application Frameworks, Usability, Code Review, Event-Driven Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Programming Principles, Integrated Development Environments, Graph Theory, Computer Science, File Systems, Artificial Intelligence, Integration Testing, Software Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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1…181920…368

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

  • Meta Android Developer: Meta
  • Python Functions, Files, and Dictionaries: University of Michigan
  • Interaction Design: University of California San Diego
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
  • Generative AI for Software Developers: IBM
  • Introduction to Programming with Python and Java: University of Pennsylvania
  • Bayesian Statistics: Duke University
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Web Design for Everybody: Basics of Web Development & Coding: University of Michigan

Skills you can learn in Data Analysis

Analytics (85)
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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)

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