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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: New
      New
      P

      Packt

      Building Modular Monoliths with .NET 8

      Skills you'll gain: PostgreSQL, .NET Framework, Microservices, Object Oriented Design, Software Design, Software Design Patterns, Software Architecture, C# (Programming Language), Object-Relational Mapping, Systems Architecture, Maintainability, Database Development, Application Programming Interface (API), Docker (Software)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Writing Clean Code: 20 Code Smells & How to Avoid Them

      Skills you'll gain: Software Design, Maintainability, Software Design Patterns, Object Oriented Design, Software Architecture, Code Review, Programming Principles, Debugging, Scalability

      Intermediate · Course · 3 - 6 Months

    • I

      IIT Guwahati

      Bachelor of Science in Data Science & AI

      Skills you'll gain: Package and Software Management, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Econometrics, R Programming, Text Mining, Probability Distribution, Artificial Intelligence, Time Series Analysis and Forecasting, Data Processing, C (Programming Language), Data Literacy

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Visualization, Data Mining, Dimensionality Reduction, Data Analysis, R Programming, Scientific Visualization, Statistical Modeling, Big Data, Data-Driven Decision-Making, Data Visualization Software, Predictive Modeling, Predictive Analytics, Data Modeling, Analytics, Advanced Analytics, Regression Analysis, Statistical Visualization

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Toma de Decisiones Basadas en Datos

      Skills you'll gain: Descriptive Analytics, Business Analytics, Database Design, NoSQL, Statistical Reporting, SQL, Data Ethics, Digital Transformation, Query Languages, Data Mining, Databases, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Predictive Analytics, Organizational Structure, Business Transformation, Business Strategy, Organizational Strategy

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      What's New in .NET and C#

      Skills you'll gain: Microsoft Development Tools, Cross Platform Development, .NET Framework, C# (Programming Language), Software Development Tools, Microsoft Visual Studio, Performance Tuning, Application Security, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Predictive Modeling, Applied Machine Learning, Unstructured Data, Statistical Machine Learning, Unsupervised Learning, Dimensionality Reduction, Python Programming, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Event-Driven Systems, Security, and Microservices

      Skills you'll gain: Containerization, Microservices, Authentications, OAuth, Software Design Patterns, Event-Driven Programming, Data Migration, Systems Architecture, Object Oriented Design, Application Programming Interface (API), Software Architecture, Integration Testing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Web Exploits, Python Scripting & Network Attacks

      Skills you'll gain: OSI Models, Penetration Testing, TCP/IP, Network Protocols, Cyber Security Assessment, Open Web Application Security Project (OWASP), Prompt Engineering, Cybersecurity, Vulnerability Scanning, Scripting, Large Language Modeling, Vulnerability Assessments, SQL, Python Programming

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      D

      DeepLearning.AI

      Building Toward Computer Use with Anthropic

      Skills you'll gain: Prompt Engineering, Computer Vision, Human Computer Interaction, Image Analysis, Artificial Intelligence, Generative AI, User Interface (UI), Application Programming Interface (API), Large Language Modeling

      Beginner · Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Goal Setting, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Surveys, Bayesian Statistics, Graphing, International Finance

      Postgraduate Diploma · 6 - 12 Months

    R Programming learners also search

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    1…285286287…288

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

    • Building Modular Monoliths with .NET 8: Packt
    • Writing Clean Code: 20 Code Smells & How to Avoid Them: Packt
    • Bachelor of Science in Data Science & AI: IIT Guwahati
    • Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio: Pontificia Universidad Católica de Chile
    • Certificado en Toma de Decisiones Basadas en Datos: Pontificia Universidad Católica de Chile
    • What's New in .NET and C#: Packt
    • NLP – Machine Learning Models in Python: Packt
    • Event-Driven Systems, Security, and Microservices: Packt
    • Advanced Web Exploits, Python Scripting & Network Attacks: Packt
    • Building Toward Computer Use with Anthropic: DeepLearning.AI

    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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