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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
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      Status: Free Trial
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      C

      Case Western Reserve University

      Basic Principles of Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
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      P

      Packt

      Advanced JavaScript & Object-Oriented Programming

      Skills you'll gain: Application Development, Javascript, Web Applications, Object Oriented Programming (OOP), JSON, Application Programming Interface (API), Event-Driven Programming, Prototyping, Data Storage, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      OOP concepts, Collections and Data Structures

      Skills you'll gain: Java, Object Oriented Programming (OOP), Computer Programming, Data Structures, Programming Principles, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Introduction to Programming with C#12 and .NET8

      Skills you'll gain: GitHub, Version Control, Object Oriented Programming (OOP), Debugging, Development Environment, C# (Programming Language), Microsoft Visual Studio, Microsoft Development Tools, Computer Programming, Programming Principles, Integrated Development Environments, .NET Framework, Data Structures

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      Einführung in die Datenanalyse in Google Cloud

      Skills you'll gain: Dashboard, Looker (Software), Data Cleansing, Data Presentation, Data Analysis, Analytics, Data Visualization, Big Data, Data Processing, Data Manipulation, Data Transformation, Google Cloud Platform, SQL, Data-Driven Decision-Making, Data Storage, Data Warehousing, Cloud Storage

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
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      Packt

      Shiny for Python Ultimate - Web Development with Python

      Skills you'll gain: User Interface (UI), Data Visualization Software, Interactive Data Visualization, UI/UX Strategy, Application Deployment, Web Applications, Data Analysis, Front-End Web Development, Back-End Web Development, Dashboard, Spatial Data Analysis, Web Development, Application Development, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Harnessing LLMs & Text-Embeddings API with Google Vertex AI

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, Cloud API, Generative AI, Prompt Engineering, Application Programming Interface (API), Data Visualization, Unsupervised Learning, Natural Language Processing, Applied Machine Learning, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Linear Algebra, Applied Machine Learning, Tensorflow, Machine Learning, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Pontificia Universidad Católica de Chile

      Análisis de sistemas térmicos usando Python

      Skills you'll gain: Thermal Management, Plot (Graphics), Mechanical Engineering, Engineering Analysis, HVAC, Simulations, Engineering Calculations, Hydraulics, Visualization (Computer Graphics), Python Programming, NumPy, Computer Programming Tools

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring and Preparing Your Data with BigQuery - Português

      Skills you'll gain: Data Transformation, Data Cleansing, Big Data, Google Cloud Platform, Cloud Infrastructure, Data Analysis, SQL, Analytics, Data Quality, Query Languages, Data Storage

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring and Preparing Your Data with BigQuery - Français

      Skills you'll gain: Data Transformation, Big Data, Google Cloud Platform, Data Cleansing, Data Analysis, SQL, Analytics, Data Warehousing, Cloud Infrastructure, Data Quality, Scalability

      Beginner · Course · 1 - 3 Months

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

    • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
    • Advanced JavaScript & Object-Oriented Programming: Packt
    • OOP concepts, Collections and Data Structures: Packt
    • Introduction to Programming with C#12 and .NET8: Packt
    • Einführung in die Datenanalyse in Google Cloud : Google Cloud
    • Shiny for Python Ultimate - Web Development with Python: Packt
    • Natural Language Processing - Probability Models in Python: Packt
    • Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Packt
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Análisis de sistemas térmicos usando Python: Pontificia Universidad Católica de Chile

    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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