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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
    Preview
    U

    University of Leeds

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Data Preprocessing, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Skills you'll gain: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Tool Calling, Agentic systems, Model Deployment, Automation, Application Deployment, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Cómputo evolutivo

    Skills you'll gain: Algorithms, Computational Thinking, Applied Mathematics, Machine Learning Algorithms, Biology, Life Sciences, Artificial Intelligence, Computer Science, Programming Principles, Mathematical Modeling, Engineering Practices

    4.1
    Rating, 4.1 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Tailwind CSS

    Skills you'll gain: Typography, Responsive Web Design, Cascading Style Sheets (CSS), HTML and CSS, UI Components, Web Design, Front-End Web Development, Animations, Mockups, User Interface (UI), Web Development, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Vibe Coding with GitHub Copilot

    Skills you'll gain: Vibe coding, Microsoft Copilot, GitHub, Code Review, AI Personalization, Prompt Engineering, LLM Application, Integrated Development Environments, Computer Programming Tools, Application Development, Software Development, Web Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Management with Databricks: Big Data with Delta Lakes

    Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control

    4.1
    Rating, 4.1 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Probability & Statistics, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Data Processing, Data Cleansing, Data Preprocessing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    NIIT

    Building RESTful APIs Using Node.js and Express

    Skills you'll gain: Restful API, Application Programming Interface (API), Node.JS, Software Documentation, Web Services, Middleware, Authentications, JSON, Web Frameworks, Server Side, Web Applications, Back-End Web Development, Authorization (Computing)

    4
    Rating, 4 out of 5 stars
    ·
    23 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The Business Intelligence (BI) Analyst Capstone Project

    Skills you'll gain: Presentations, Business Intelligence, Dashboard, Tableau Software, IBM Cognos Analytics, Statistical Analysis, Business Analytics, Data Analysis, Looker (Software), Regression Analysis, Data Visualization, PostgreSQL, Interactive Data Visualization, Pivot Tables And Charts, Data Visualization Software, Data Cleansing, Microsoft Excel, SQL, Data Preprocessing, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Advanced · Course · 1 - 3 Months

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

  • Exploratory Data Analysis: University of Leeds
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
  • Cómputo evolutivo: Universidad Nacional Autónoma de México
  • Tailwind CSS: Scrimba
  • Vibe Coding with GitHub Copilot: Scrimba
  • Pandas for Data Science: Duke University
  • Data Management with Databricks: Big Data with Delta Lakes: Coursera
  • Applying Python for Data Analysis: Coursera
  • Building RESTful APIs Using Node.js and Express: NIIT

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