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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: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    189 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Infosec

    CISSP Domain 1: Security and Risk Management

    Skills you'll gain: Information Systems Security, Risk Management, Security Management, Continuous Monitoring, Information Assurance, Law, Regulation, and Compliance, Cyber Governance, Governance, Regulation and Legal Compliance, Cybersecurity, Security Controls, Risk Mitigation, Cyber Security Policies, Business Risk Management, Risk Management Framework, ISO/IEC 27001, Risk Control, Risk Analysis, Threat Management, Information Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Full Stack Application Development Capstone Project

    Skills you'll gain: CI/CD, Continuous Integration, Continuous Deployment, Full-Stack Web Development, Application Design, Node.JS, Django (Web Framework), Back-End Web Development, Web Applications, Web Design and Development, Front-End Web Development, Restful API, Application Development, GitHub, Microservices, Web Development, User Accounts, Kubernetes, Frontend Integration, Javascript

    4.6
    Rating, 4.6 out of 5 stars
    ·
    203 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Tables, Data & Networking in iOS

    Skills you'll gain: Core Data (Software), JSON, Apple iOS, iOS Development, Data Persistence, Data Store, Network Model, Database Application, Mobile Development, Application Programming Interface (API), Data Modeling, UI Components, Network Protocols, User Interface (UI)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    137 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Relational Database and SQL

    Skills you'll gain: Stored Procedure, SQL, Data Presentation, Query Languages, Relational Databases, Database Development, Database Administration, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    400 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Codio

    Advanced Django: Introduction to Django Rest Framework

    Skills you'll gain: Django (Web Framework), Postman API Platform, Restful API, Data Validation, Authentications, Authorization (Computing), Application Programming Interface (API), API Design, JSON, API Testing, Object-Relational Mapping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    128 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, AI Integrations, Model Evaluation, Machine Learning, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming, Design Thinking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    2

    28DIGITAL

    Capstone: Autonomous Runway Detection for IoT

    Skills you'll gain: Embedded Software, Real-Time Operating Systems, Embedded Systems, Software Systems, Internet Of Things, Real Time Data, System Requirements, Software Development, Secure Coding, Cloud Computing Architecture, Systems Engineering, Cloud-Based Integration, System Design and Implementation, Back-End Web Development, System Implementation, Communication Systems, System Testing, Algorithms, Performance Testing, Systems Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    69 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Trees and Graphs: Basics: University of Colorado Boulder
  • CISSP Domain 1: Security and Risk Management: Infosec
  • Full Stack Application Development Capstone Project: IBM
  • Tables, Data & Networking in iOS: LearnQuest
  • Advanced Relational Database and SQL: Coursera
  • Advanced Django: Introduction to Django Rest Framework: Codio
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • AI Workflow: Enterprise Model Deployment: IBM
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
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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