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    Results for "r programming"

    • Amazon

      Introduction to Software Development

      Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Software Engineering, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      183 reviews

      Beginner · Course · 1 - 4 Weeks

    • Sungkyunkwan University

      Using R for Regression and Machine Learning in Investment

      Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Applied Machine Learning, Supervised Learning, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • University of Alberta

      Object-Oriented Design

      Skills you'll gain: Object Oriented Design, Unified Modeling Language, Software Design, Object Oriented Programming (OOP), Java, Maintainability, Software Architecture, Android Development, Technical Design, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Microsoft

      Microsoft Azure Data Fundamentals DP-900 Exam Prep

      Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Cloud Services, Data Warehousing, Database Systems, Databases, Dashboard, Data Architecture, NoSQL, Apache Spark, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      821 reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Advanced Analytics, Correlation Analysis, Data Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Variance Analysis, Machine Learning Methods, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      517 reviews

      Advanced · Course · 1 - 3 Months

    • University of Colorado System

      C++ Programming for Unreal Game Development

      Skills you'll gain: Unreal Engine, Object Oriented Programming (OOP), C++ (Programming Language), Video Game Development, Debugging, Computer Programming, Event-Driven Programming, Unity Engine, Data Structures, C# (Programming Language), Game Design, Data Storage, Software Design Patterns, Development Environment, Software Documentation, UI Components, Programming Principles, Software Architecture, Software Design, Application Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      203 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Google

      Google Data Analytics (PT)

      Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Data Literacy, Tableau Software, Data Visualization Software, Data Analysis, Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, SQL, Data Quality, Data Collection, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Microsoft

      Microsoft Full-Stack Developer

      Skills you'll gain: CI/CD, GitHub, C# (Programming Language), HTML and CSS, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, Debugging, SQL, Application Deployment, Microsoft Azure, Microsoft Copilot, Graph Theory

      4.3
      Rating, 4.3 out of 5 stars
      ·
      123 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Duke University

      Decentralized Finance (DeFi) Infrastructure

      Skills you'll gain: Blockchain, FinTech, Interoperability, Payment Systems, Emerging Technologies, Financial Systems, Cryptography, Market Liquidity, Financial Regulations, Digital Assets, Finance, Banking, Financial Services, Payment Processing, Derivatives, Transaction Processing, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      How Google does Machine Learning

      Skills you'll gain: Google Cloud Platform, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Development Environment, Data Ethics, Computer Vision, Jupyter, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Course · 1 - 3 Months

    • École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Functional Design, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to r programming

    r programming for statistics and data science
    r programming and tidyverse capstone project
    r programming essentials with microsoft tools
    advanced r programming
    the r programming environment
    data analysis with r programming
    introduction to r programming and tidyverse
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    1…373839…290

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

    • Introduction to Software Development: Amazon
    • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
    • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
    • Object-Oriented Design: University of Alberta
    • Microsoft Azure Data Fundamentals DP-900 Exam Prep: Microsoft
    • Regression Analysis: Simplify Complex Data Relationships: Google
    • C++ Programming for Unreal Game Development: University of Colorado System
    • Google Data Analytics (PT): Google
    • Microsoft Full-Stack Developer: Microsoft
    • Decentralized Finance (DeFi) Infrastructure: Duke 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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