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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

    • S

      Starweaver

      Introduction to Automotive Embedded Systems

      Skills you'll gain: Embedded Systems, Electronic Systems, Cybersecurity, Automation, Electronics, Control Systems, Internet Of Things, Software Development, Real-Time Operating Systems, Systems Integration, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Advanced Business Analytics: Excel Optimization & Simulation

      Skills you'll gain: Operations Research, Resource Allocation, Simulation and Simulation Software, Microsoft Excel, Business Analytics, Data-Driven Decision-Making, Business Risk Management, Transportation Operations, Risk Analysis, Process Optimization, Statistical Methods, Business Modeling, Logistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      24 reviews

      Mixed · Course · 1 - 3 Months

    • N

      NVIDIA

      The Fundamentals of RDMA Programming

      Skills you'll gain: Application Programming Interface (API), Network Model, TCP/IP, Network Protocols, System Programming, Hardware Architecture, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Desenvolvimento Ágil com Java Avançado

      Skills you'll gain: Model View Controller, Selenium (Software), Web Applications, Java, JUnit, Data Access, Integration Testing, Software Testing, Application Development, Agile Software Development, Database Development, Development Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      196 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Columbia University

      Decision Making and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Working with Data

      Skills you'll gain: Restful API, SQL, React Native, Databases, API Design, Web Applications, Mobile Development, Data Manipulation, JSON, Data Storage, Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Advanced Python Scripting for Cybersecurity

      Skills you'll gain: Network Analysis, Network Security, Cyber Operations, MITRE ATT&CK Framework, Cybersecurity, Threat Detection, Network Monitoring, Penetration Testing, Anomaly Detection, Scripting, Network Protocols, Authentications, TCP/IP, Python Programming, Data Access, User Accounts, System Programming, Automation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      73 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Key Concepts in Organizational DE&I

      Skills you'll gain: Diversity Equity and Inclusion Initiatives, Diversity and Inclusion, Diversity Awareness, Intercultural Competence, Cultural Diversity, Organizational Change, Human Resource Policies, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      69 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Razonamiento artificial

      Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Python Programming, Deductive Reasoning, Probability, Verification And Validation, Mathematical Modeling, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      Skills you'll gain: Digital Communications, Image Analysis, Telecommunications, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Electronics, Engineering Analysis, Applied Mathematics, Algorithms, Quantitative Research, Debugging, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to the Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Dynamical Modeling Methods for Systems Biology

      Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      220 reviews

      Mixed · Course · 1 - 3 Months

    R Programming learners also search

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    1…120121122…296

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

    • Introduction to Automotive Embedded Systems: Starweaver
    • Advanced Business Analytics: Excel Optimization & Simulation: Johns Hopkins University
    • The Fundamentals of RDMA Programming: NVIDIA
    • Desenvolvimento Ágil com Java Avançado: Instituto Tecnológico de Aeronáutica
    • Decision Making and Reinforcement Learning: Columbia University
    • Working with Data: Meta
    • Advanced Python Scripting for Cybersecurity: Infosec
    • Key Concepts in Organizational DE&I: Rice University
    • Razonamiento artificial: Universidad Nacional Autónoma de México
    • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne

    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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