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    • R Programming

    R Programming Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

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    Explore the R Programming Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Pandas (Python Package), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      738 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      944 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Writing, Running, and Fixing Code in C

      Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Test Case, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

      4.3
      Rating, 4.3 out of 5 stars
      ·
      804 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      623 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Graph Theory

      Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Network Routing, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Genentech

      Hands On Clinical Reporting Using R

      Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Pharmaceuticals, Data Modeling, R Programming, Technical Communication, Data Analysis Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Back-End Apps with Node.js and Express

      Skills you'll gain: Node.JS, Server Side, Restful API, Back-End Web Development, JavaScript Frameworks, Cloud Applications, Web Applications, Application Programming Interface (API), Web Servers, Javascript, Authentications, Package and Software Management, JSON, Middleware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      526 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction To Swift Programming

      Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Image Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      IA generativa en el aula

      Skills you'll gain: Generative AI, Prompt Engineering, ChatGPT, AI Personalization, Education Software and Technology, Large Language Modeling, Artificial Intelligence, Creativity, Data Ethics, Computer Vision, Information Privacy, Ethical Standards And Conduct, Intellectual Property

      4.9
      Rating, 4.9 out of 5 stars
      ·
      593 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      PMI-PMP® Certification Training Course

      Skills you'll gain: Cost Management, Scope Management, Agile Project Management, Agile Methodology, Stakeholder Engagement, Project Management, Project Schedules, Agile Software Development, Cost Estimation, Kanban Principles, Project Scoping, Project Risk Management, Lean Methodologies, Conflict Management, Project Management Institute (PMI) Methodology, Project Management Office (PMO), Stakeholder Management, Project Planning, Project Management Life Cycle, Performance Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      272 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Structured Programming

      Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      769 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      923 reviews

      Mixed · Course · 1 - 4 Weeks

    R Programming learners also search

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    1…434445…292

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

    • Supervised Machine Learning: Regression: IBM
    • Deep Learning with Keras and Tensorflow: IBM
    • Writing, Running, and Fixing Code in C: Duke University
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Introduction to Graph Theory: University of California San Diego
    • Hands On Clinical Reporting Using R: Genentech
    • Developing Back-End Apps with Node.js and Express: IBM
    • Introduction To Swift Programming: University of Toronto
    • IA generativa en el aula: Universidad Nacional Autónoma de México
    • PMI-PMP® Certification Training Course: LearnKartS

    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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