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R Programming Courses

R Programming courses can help you learn data manipulation, statistical analysis, and data visualization techniques. You can build skills in creating reproducible reports, implementing machine learning algorithms, and performing exploratory data analysis. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support visualizing data and streamlining data processing tasks.


Popular R Programming Courses and Certifications


  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Object Oriented Design, User Story, Systems Engineering, Real-Time Operating Systems, Unsupervised Learning, Field-Programmable Gate Array (FPGA), New Product Development, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Failure Analysis, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Statistical Modeling, Goal Setting, Database Design

    Earn a degree

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Data Science

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

    Earn a degree

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Computer Science

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

    Earn a degree

    Degree · 1 - 4 Years

  • P

    Pontificia Universidad Católica de Chile

    Magíster en Inversiones y Finanzas Aplicadas

    Skills you'll gain: Financial Statement Analysis, Descriptive Analytics, FinTech, Business Valuation, Derivatives, Social Determinants Of Health, Portfolio Management, Gerontology, Strategic Decision-Making, Customer Analysis, Risk Analysis, Credit Risk, Governance, Cloud Security, Team Management, Digital Transformation, Object Oriented Programming (OOP), Financial Analysis, Policy Analysis, Analytical Skills

    Earn a degree

    Degree · 1 - 4 Years

  • P

    Pontificia Universidad Católica de Chile

    Magíster en Salud Pública Global

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Health Equity, Biostatistics, Social Determinants Of Health, Gerontology, Health Policy, Health Informatics, Healthcare Ethics, Governance, Cloud Security, Team Management, Data Mining, Occupational Health, Digital Transformation, Spatial Data Analysis, Public Health, Object Oriented Programming (OOP), Policy Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    International Foundation Programme for Computer Science (IFP)

    Skills you'll gain: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning

    Earn a degree

    Degree · 1 - 4 Years

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  • I

    IIT Guwahati

    Bachelor of Science in Data Science & AI

    Skills you'll gain: Package and Software Management, Time Series Analysis and Forecasting, Relational Databases, Data Structures, Linear Algebra, Cloud Computing Architecture, Data Warehousing, Database Management, Data Visualization, Social Network Analysis, Algorithms, Deep Learning, Portfolio Management, Oral Comprehension, Java Programming, Dimensionality Reduction, Matplotlib, Econometrics, R Programming, Pivot Tables And Charts

    Earn a degree

    Degree · 1 - 4 Years

  • B

    BITS Pilani

    Bachelor of Science in Computer Science

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

    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, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

    Earn a degree

    Degree · 1 - 4 Years

  • O

    O.P. Jindal Global University

    M.A. Public Policy

    Skills you'll gain: Econometrics, Surveys, Environmental Laws, Sampling (Statistics), Social Sciences, Research Reports, Social Determinants Of Health, Matplotlib, Public Policies, Research Methodologies, Political Sciences, Economics, Policy, and Social Studies, Economic Development, Policy Analysis, International Relations, Diplomacy, Economics, Tax, Complex Problem Solving, Immigration Law

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Statistical Machine Learning, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Planning, Data Visualization, Data Manipulation, Data Analysis, Statistical Inference, Unsupervised Learning, Linear Algebra, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Huddersfield

    BSc Data Science

    Skills you'll gain: Integral Calculus, Matplotlib, Calculus, Differential Equations, Data Visualization Software, Python Programming, Data Analysis, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Data Manipulation, Statistical Analysis, Data Structures, Computer Programming, Pandas (Python Package), Debugging, NumPy, Object Oriented Programming (OOP)

    Earn a degree

    Degree · 1 - 4 Years

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

  • Master of Science in Data Science: University of Colorado Boulder
  • Master of Science in Data Science: Ball State University
  • Master of Science in Computer Science: Ball State University
  • Magíster en Inversiones y Finanzas Aplicadas: Pontificia Universidad Católica de Chile
  • Magíster en Salud Pública Global: Pontificia Universidad Católica de Chile
  • International Foundation Programme for Computer Science (IFP): University of London
  • Bachelor of Science in Data Science & AI: IIT Guwahati
  • Bachelor of Science in Computer Science: BITS Pilani
  • Bachelor of Science in Computer Science: University of London
  • M.A. Public Policy: O.P. Jindal Global University

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 the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.‎

It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.‎

Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.‎

Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.‎

Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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