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    Results for "r programming"

    • LearnQuest

      Scrum Master Certification: Scaling Agile and the Team-of-Teams

      Skills you'll gain: Scaled Agile Framework, Agile Software Development, Agile Methodology, Scalability, Behavior-Driven Development, Agile Product Development, Agile Project Management, Sprint Planning, Software Development, Continuous Integration, Virtualization, Program Development, Virtual Environment, Test Driven Development (TDD), Hardware Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      460 reviews

      Beginner · Course · 1 - 4 Weeks

    • Codio

      Advanced Django: Mastering Django and Django Rest Framework

      Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, React.js, Authorization (Computing), Secure Coding, PostgreSQL, Object-Relational Mapping, API Design, Model View Controller, Scalability, Application Frameworks, JSON, Full-Stack Web Development, Development Testing, Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      155 reviews

      Advanced · Specialization · 3 - 6 Months

    • Codio

      Intro to Operating Systems 1: Virtualization

      Skills you'll gain: OS Process Management, Operating Systems, C (Programming Language), System Programming, Virtualization, Virtual Machines, Programming Principles, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Board Infinity

      Mastering Laravel Framework and PHP

      Skills you'll gain: PHP (Scripting Language), Object-Relational Mapping, Web Applications, Web Development, Model View Controller, Application Frameworks, Database Management, Relational Databases, Back-End Web Development, Application Security, Server Side, Middleware, Application Programming Interface (API), Authentications

      4.3
      Rating, 4.3 out of 5 stars
      ·
      156 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of California, Santa Cruz

      C++ For C Programmers, Part B

      Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), Computer Programming, C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      327 reviews

      Intermediate · Course · 1 - 3 Months

    • Meta

      Data Analysis with Spreadsheets and SQL

      Skills you'll gain: Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data-Driven Decision-Making, Statistical Analysis, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 3 Months

    • Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Data Science, Classification And Regression Tree (CART), Ggplot2, Random Forest Algorithm, Exploratory Data Analysis, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

      Beginner · Course · 1 - 3 Months

    • University of London

      Responsive Web Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, Bootstrap (Front-End Framework), Usability, User Interface and User Experience (UI/UX) Design, Wireframing, Data Structures, JavaScript Frameworks, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 3 Months

    • Universidad Austral

      Programación Orientada a Objetos con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Software Design, Test Driven Development (TDD), Unit Testing, Object Oriented Programming (OOP), Programming Principles, Software Testing, Software Quality (SQA/SQC), Software Development, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      271 reviews

      Beginner · Course · 1 - 4 Weeks

    • Universidad Nacional Autónoma de México

      Programando con Java para aplicaciones Android

      Skills you'll gain: Java, Object Oriented Programming (OOP), Java Programming, Android Development, Android Studio, Mobile Development, Programming Principles, Data Structures, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 4 Weeks

    • Google Cloud

      API Security on Google Cloud's Apigee API Platform

      Skills you'll gain: OAuth, Cloud API, Application Programming Interface (API), Restful API, Security Controls, Application Security, Network Security, Data Security, JSON, Identity and Access Management, Threat Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      834 reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Executive Data Science Capstone

      Skills you'll gain: Project Management, Data Science, Data-Driven Decision-Making, Data Presentation, Technical Communication, Data Strategy, Project Implementation, Team Building, Technical Management, Team Management, Cross-Functional Team Leadership, Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · 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
    introduction to r programming for data science
    1…727374…290

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

    • Scrum Master Certification: Scaling Agile and the Team-of-Teams: LearnQuest
    • Advanced Django: Mastering Django and Django Rest Framework: Codio
    • Intro to Operating Systems 1: Virtualization: Codio
    • Mastering Laravel Framework and PHP: Board Infinity
    • C++ For C Programmers, Part B: University of California, Santa Cruz
    • Data Analysis with Spreadsheets and SQL: Meta
    • Clustering and Classification with Machine Learning in R: Packt
    • Responsive Web Design: University of London
    • Programación Orientada a Objetos con Python: Universidad Austral
    • Programando con Java para aplicaciones Android: Universidad Nacional Autónoma de México

    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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