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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

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Inversiones y Finanzas Aplicadas

      Skills you'll gain: Financial Statement Analysis, Descriptive Analytics, FinTech, Financial Statements, Business Analytics, Business Valuation, Derivatives, Strategic Decision-Making, Portfolio Management, Customer Analysis, Risk Analysis, Credit Risk, Digital Transformation, Cloud Security, Assertiveness, Governance, Financial Analysis, Object Oriented Programming (OOP), Investments, Financial Data

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      HashiCorp Certified - Vault Associate Course

      Skills you'll gain: Authentications, Key Management, Data Security, Encryption, DevSecOps, Cloud Security, Application Security, Cyber Security Policies, Software Installation, Identity and Access Management, Cryptography, Authorization (Computing), System Configuration, Data Storage, Command-Line Interface, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Bash (Scripting Language), Relational Databases, User Research, Probability & Statistics, Data Storytelling, Graph Theory, Object Oriented Design, Operating Systems, Android Development, Database Design, Bioinformatics, Feature Engineering, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic, Database Systems, Computer Systems

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Svelte 5 & SvelteKit - The Complete Fundamentals Guide

      Skills you'll gain: JavaScript Frameworks, Front-End Web Development, Web Applications, Web Development, Server Side, Debugging, Restful API, Javascript

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      Master of Computer Science (feat. Data Science Track)

      Earn a degree

      Degree · 1 - 4 Years

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    In summary, here are 5 of our most popular r programming courses

    • Magíster en Inversiones y Finanzas Aplicadas: Pontificia Universidad Católica de Chile
    • HashiCorp Certified - Vault Associate Course: Packt
    • Bachelor of Science in Computer Science: BITS Pilani
    • Svelte 5 & SvelteKit - The Complete Fundamentals Guide: Packt
    • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign

    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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