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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


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Français

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Model Deployment, Data Transformation, Deep Learning, Artificial Neural Networks, Application Programming Interface (API)

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    إعداد برنامج باي تشارم للمبتدئين

    Skills you'll gain: Cross Platform Development, Program Development, Computer Programming, Software Engineering, Python Programming, Software Installation, Web Development, Software Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Debugging: Hunting and Squashing Bugs

    Skills you'll gain: Debugging, Unit Testing, File I/O, Integrated Development Environments, Program Development, Computer Programming Tools, Development Environment, Technical Communication, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Next.js for Beginners: Build a Multi-Page Portfolio Website

    Skills you'll gain: React.js, Node.JS, JavaScript Frameworks, Web Development Tools, Web Applications, Front-End Web Development, Web Content, Web Development, HTML and CSS, Software Engineering

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Mastering AI Agents for Databases

    Skills you'll gain: LangChain, Development Environment, Agentic systems, AI Workflows, Artificial Intelligence, Tool Calling, LLM Application, Database Systems, Database Management, SQL, Database Application, OpenAI API, Software Development Tools, Prompt Engineering

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Harnessing Ollama – Create Local LLMs with Python

    Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Retrieval-Augmented Generation, Command-Line Interface, Embeddings, Python Programming, Application Development, Vector Databases, User Interface (UI), Software Installation, Restful API, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Maryland, College Park

    Cómo combinar y analizar datos complejos

    Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    API Basics 2: Build a Blog (REST, URLs & HTTP Requests)

    Skills you'll gain: Restful API, Web Applications, Cascading Style Sheets (CSS), Application Programming Interface (API), Web Services, HTML and CSS, Back-End Web Development, JSON, Frontend Integration, Javascript, Software Development

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Using gsutil to Perform Operations on Buckets and Objects

    Skills you'll gain: Cloud Storage, File Management, Cloud Computing, Data Storage, Google Cloud Platform, Public Cloud, Python Programming

    Beginner · Project · Less Than 2 Hours

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

  • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
  • إعداد برنامج باي تشارم للمبتدئين: Coursera
  • Debugging: Hunting and Squashing Bugs: University of Michigan
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Next.js for Beginners: Build a Multi-Page Portfolio Website: Coursera
  • Foundations of ML & Python for Data Science: Packt
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • Mastering AI Agents for Databases: Packt
  • Harnessing Ollama – Create Local LLMs with Python: Packt
  • Cómo combinar y analizar datos complejos: University of Maryland, College Park

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Statistical Analysis (36)
Sql (33)
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Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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