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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
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Dashboard, Business Intelligence, Tableau Software, Extract, Transform, Load, Data Warehousing, Database Systems, Interactive Data Visualization, Data Visualization, Data Pipelines, Interviewing Skills, Business Process, Business Analysis, Database Design, Data Mart, Applicant Tracking Systems, Data Analysis, SQL, Stakeholder Communications

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.1K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google IT Automation with Python

    Skills you'll gain: Version Control, Cloud Management, Test Automation, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Infrastructure, Virtual Machines, Development Testing, Test Script Development, Scripting, Network Troubleshooting, Cloud Services, Email Automation, Web Presence, Python Programming, CI/CD, Configuration Management, Program Development, Containerization, Unit Testing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    55K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, OpenAI API, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Matplotlib, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Exploratory Data Analysis, Plot (Graphics), Pandas (Python Package), Data Presentation, Data Science, NumPy, Regression Analysis, Data Analysis, Data Structures, Data Wrangling, Correlation Analysis, Portfolio Management, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Mathematical Modeling, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Visio Workflow Design and Automation

    Skills you'll gain: Microsoft Visio, Timelines, Dashboard, Data Visualization, Dashboard Creation, Data Visualization Software, Interactive Data Visualization, Peer Review, Data Presentation, Data Validation, Data Mapping, User Feedback, Milestones (Project Management), Usability Testing, Collaborative Software, Diagram Design, Automation, Business Process Automation, Visual Basic (Programming Language), Document Management

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Data Engineering, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    631 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Strategic Business Analytics

    Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Business Analytics, Statistical Programming, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, Customer Analysis, Case Studies, R (Software), Information Technology, Analytical Skills, Digital Transformation, Business Marketing, Advanced Analytics, Complex Problem Solving, Data Synthesis, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Computational Thinking, Combinatorics, Data Science, Mathematical Software, Computer Science, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    970 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    J

    John Wiley & Sons

    Advanced SQL Applications and Performance Optimization

    Skills you'll gain: SQL, Relational Databases, Database Design, Database Application, Data Integrity, Stored Procedure, Database Architecture and Administration, Database Development, Database Management, Query Languages, Data Store, Performance Tuning, Graph Theory, Data Modeling, Extensible Markup Language (XML), Extensible Languages and XML, Data Access, Application Design, Performance Management, Network Troubleshooting

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Analysis, Data Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    800 reviews

    Advanced · Specialization · 3 - 6 Months

1234…25

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

  • Google Business Intelligence: Google
  • Google Advanced Data Analytics: Google
  • Google IT Automation with Python: Google
  • IBM RAG and Agentic AI: IBM
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Self-Driving Cars: University of Toronto
  • Microsoft Visio Workflow Design and Automation: Microsoft
  • MLOps | Machine Learning Operations: Duke University
  • Strategic Business Analytics: ESSEC Business School
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder

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)

Frequently Asked Questions about R Programming

R programming is a language and environment specifically designed for statistical computing and data analysis. It is widely used among statisticians, data analysts, and researchers for its powerful capabilities in data manipulation, statistical modeling, and visualization. The importance of R programming lies in its ability to handle complex data sets and perform advanced analyses, making it a valuable tool in various fields, including finance, healthcare, and academia.‎

With skills in R programming, you can pursue various job roles such as data analyst, statistician, data scientist, and research analyst. These positions often require a strong understanding of data manipulation and analysis, as well as the ability to communicate findings effectively. Industries such as technology, finance, and healthcare are particularly keen on professionals who can leverage R to derive insights from data.‎

To learn R programming effectively, you should focus on several key skills. These include understanding the basics of programming concepts, data structures, and functions in R. Additionally, familiarity with data visualization libraries like ggplot2, data manipulation packages like dplyr, and statistical modeling techniques will enhance your proficiency. Knowledge of the R ecosystem and how to use R for data analysis is also crucial.‎

Some of the best online courses for R programming include the Introduction to R Programming for Data Science and the Data Analysis with R Programming. These courses provide foundational knowledge and practical skills that can help you get started with R programming and apply it to real-world data analysis.‎

Yes. You can start learning r programming on Coursera for free in two ways:

  1. Preview the first module of many r programming courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in r programming, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn R programming, start by selecting a beginner-friendly course that covers the basics. Engage with interactive exercises and projects to apply what you learn. Utilize online resources, such as forums and documentation, to enhance your understanding. Consistent practice and real-world application of R will help solidify your skills and boost your confidence in using the language.‎

Typical topics covered in R programming courses include data types and structures, functions, control flow, data visualization, and statistical analysis. Advanced courses may explore topics like machine learning, data wrangling, and the use of R packages for specific applications. Understanding these topics will provide a comprehensive foundation for using R in various data-related tasks.‎

For training and upskilling employees in R programming, courses like the Microsoft R Programming for Everyone Professional Certificate and the Expressway to Data Science: R Programming and Tidyverse Specialization are excellent choices. These programs are designed to equip learners with practical skills that can be directly applied in the workplace.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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