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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.


More to explore:

Popular R Courses and Certifications


  • É

    École Polytechnique Fédérale de Lausanne

    Initiation à la programmation (en Java)

    Skills you'll gain: Programming Principles, Java Programming, Java, Computer Programming, Data Structures, Development Environment, Problem Solving, Algorithms, Eclipse (Software), Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    435 reviews

    Beginner · Course · 1 - 3 Months

  • R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • M

    Microsoft

    Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Microsoft Azure, Artificial Intelligence, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Natural Language Processing, Machine Learning, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    SQL: A Practical Introduction for Querying Databases

    Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    692 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Alberta

    Reviews & Metrics for Software Improvements

    Skills you'll gain: Sprint Retrospectives, Scrum (Software Development), Software Technical Review, Agile Project Management, Agile Software Development, Software Quality Assurance, Agile Methodology, User Story, Requirements Analysis, Usability Testing, User Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Visualization (Computer Graphics), Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California, Irvine

    Foundations of Objective-C App Development

    Skills you'll gain: Objective-C (Programming Language), iOS Development, Apple iOS, Apple Xcode, Prototyping, Mobile Development, C (Programming Language), Object Oriented Programming (OOP), Computer Programming, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    558 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Mainframe Developer

    Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Virtualization, Agile Methodology, Software Development, Virtualization and Virtual Machines, Test Driven Development (TDD), Report Writing, Relational Databases, Software Testing, File I/O

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Introduction to Intellectual Property

    Skills you'll gain: Intellectual Property, Legal Strategy, Regulation and Legal Compliance, Business Strategy, Case Studies, Asset Management, Innovation, Brand Awareness, Brand Management, Business Valuation, Economics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Initiation à la programmation (en Java): École Polytechnique Fédérale de Lausanne
  • Algorithmic Thinking (Part 1): Rice University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Artificial Intelligence on Microsoft Azure: Microsoft
  • SQL: A Practical Introduction for Querying Databases: IBM
  • Reviews & Metrics for Software Improvements: University of Alberta
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Introduction to Graph Theory: University of California San Diego
  • Foundations of Objective-C App Development: University of California, Irvine
  • IBM Mainframe Developer: IBM

Skills you can learn in Data Analysis

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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