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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


  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems

    Earn a degree

    Degree · 1 - 4 Years

  • B

    BITS Pilani

    Bachelor of Science in Computer Science

    Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Theoretical Computer Science, Operating Systems, Android Development, Database Design, Encryption, Bioinformatics, Software Development Methodologies, Amazon Web Services, Feature Engineering, Algorithms, TCP/IP, Java Programming, Data Structures

    Earn a degree

    Degree · 1 - 4 Years

  • H

    Heriot-Watt University

    MSc Computer Science

    Skills you'll gain: Software Design, Database Systems, Database Management, Software Architecture, Database Software, Software Testing, Artificial Intelligence, Systems Development Life Cycle, Graph Theory, Database Development, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Computational Logic, Java, Data Visualization, Data Structures, Algorithms, Computer Science, Software Technical Review

    Earn a degree

    Degree · 1 - 4 Years

  • O

    O.P. Jindal Global University

    M.A. Public Policy

    Skills you'll gain: Econometrics, Surveys, Data Ethics, R (Software), Environmental Laws, Social Sciences, Research Reports, Social Determinants Of Health, Matplotlib, Public Policies, Research Methodologies, Political Sciences, Policy Development, Economics, Policy, and Social Studies, Economic Development, Financial Policy, Diplomacy, International Relations, Economics, Climate Change Adaptation

    Earn a degree

    Degree · 1 - 4 Years

  • O

    O.P. Jindal Global University

    M.A. in International Relations, Security, and Strategy

    Skills you'll gain: Diplomacy, Surveys, Intelligence Collection and Analysis, Survey Creation, Risk Mitigation, Quantitative Research, Qualitative Research, R (Software), Environmental Laws, Political Sciences, Economic Development, International Relations, Cybersecurity, Climate Change Adaptation, Policty Analysis, Research, and Development, Public Safety and National Security, Social Studies, Ancient History, Sustainable Development, Security Strategy

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    International Foundation Programme for Computer Science (IFP)

    Skills you'll gain: Database Management, Relational Databases, Database Design, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Tableau Software, Data Presentation, Statistical Visualization, Algebra, Calculus, Trigonometry, Logical Reasoning, Linear Algebra

    Earn a degree

    Degree · 1 - 4 Years

What brings you to Coursera today?

  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Graph Theory, Database Systems, Machine Learning Algorithms, Supervised Learning, Software Development Methodologies, File Systems, Data Visualization, Statistical Hypothesis Testing, Statistical Methods, Spatial Data Analysis, Cryptography, Object Oriented Programming (OOP), SAS (Software), Text Mining, Financial Data, Artificial Intelligence, Predictive Modeling, Statistical Programming, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Computer Science

    Skills you'll gain: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Data Transformation, Combinatorics, Database Design, Model Evaluation, Web Development, Generative AI

    Earn a degree

    Degree · 1 - 4 Years

  • I

    IIT Guwahati

    Bachelor of Science in Data Science & AI

    Skills you'll gain: Package and Software Management, Social Network Analysis, Time Series Analysis and Forecasting, Cloud Computing Architecture, Linear Algebra, Data Structures, R (Software), Data Warehousing, Database Design, Model Evaluation, Database Management, Algorithms, Java Programming, Deep Learning, Portfolio Management, Oral Comprehension, C (Programming Language), Econometrics, Spreadsheet Software, Matplotlib

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science (feat. Data Science Track)

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of California, Berkeley

    Master of Advanced Study in Engineering

    Skills you'll gain: User Research, Medical Imaging, File I/O, Materials science, Exploratory Data Analysis, Java Programming, Semiconductors, Medical Devices, Finite Element Methods, Team Leadership, Energy and Utilities, Control Systems, Mechanics, Robotics, Environmental Engineering, Radiation Protection, Sustainable Engineering, Structural Engineering, Engineering Analysis, Vibrations

    Earn a degree

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Computer Science

    Skills you'll gain: Data Ethics, Full-Stack Web Development, Graph Theory, Database Systems, Machine Learning Algorithms, Supervised Learning, Software Development Methodologies, File Systems, Data Visualization, Statistical Methods, Theoretical Computer Science, Cryptography, Object Oriented Programming (OOP), SAS (Software), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Predictive Modeling, Statistical Programming, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

12

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

  • Master of Science in Data Science: University of Colorado Boulder
  • Bachelor of Science in Computer Science: BITS Pilani
  • MSc Computer Science: Heriot-Watt University
  • M.A. Public Policy: O.P. Jindal Global University
  • M.A. in International Relations, Security, and Strategy: O.P. Jindal Global University
  • International Foundation Programme for Computer Science (IFP): University of London
  • Master of Science in Data Science: Ball State University
  • Bachelor of Science in Computer Science: University of London
  • Bachelor of Science in Data Science & AI: IIT Guwahati
  • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign

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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