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    Results for "r programming"

    • U

      University of Cape Town

      Julia Scientific Programming

      Skills you'll gain: Computer Programming, Mathematics, Other Programming Languages, Computational Thinking, Data Visualization, Programming Principles

      4.4
      Rating, 4.4 out of 5 stars
      ·
      428 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Get Started with Python

      Skills you'll gain: Computer Programming, Data Analysis, Data Visualization, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Golang for Beginners: Data Types, Functions, and Packages

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Bases y primeros pasos en R

      Skills you'll gain: R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: Computer Programming, Data Analysis, Databases, SAS (Software), Data Analysis Software, Data Management, SQL, Statistical Analysis, Statistical Programming, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Predictive Analytics for Business with H2O in R

      Skills you'll gain: Computer Programming, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      51 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      J

      Johns Hopkins University

      Introduction to Neurohacking In R

      Skills you'll gain: Statistical Programming, R Programming, Data Management, Data Structures, Data Visualization, Visualization (Computer Graphics), Bioinformatics, Probability & Statistics, Extract, Transform, Load, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      304 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Mastering Software Development in R Capstone

      Skills you'll gain: Computer Programming, R Programming

      4
      Rating, 4 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      J

      Johns Hopkins University

      Building R Packages

      Skills you'll gain: Software Engineering, R Programming, Computer Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      222 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Probability Distribution, R Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      D

      Dartmouth College

      C Programming with Linux

      Skills you'll gain: Computer Programming, Computer Programming Tools, Linux

      4.6
      Rating, 4.6 out of 5 stars
      ·
      354 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      S

      SAS

      Doing More with SAS Programming

      Skills you'll gain: SAS (Software), Data Analysis, Statistical Programming, Data Analysis Software, Data Structures, Process Analysis, Statistical Analysis, Computational Logic, Data Management, Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      933 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to r programming

    r programming for statistics and data science
    r programming and tidyverse capstone project
    advanced r programming
    the r programming environment
    introduction to r programming for data science
    introduction to r programming and tidyverse
    foundations of r programming and basic data manipulation
    data analysis with r programming
    1…567…224

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

    • Julia Scientific Programming: University of Cape Town
    • Get Started with Python: Google
    • Golang for Beginners: Data Types, Functions, and Packages: Coursera Project Network
    • Bases y primeros pasos en R: Coursera Project Network
    • Getting Started with SAS Programming: SAS
    • Predictive Analytics for Business with H2O in R: Coursera Project Network
    • Introduction to Neurohacking In R: Johns Hopkins University
    • Mastering Software Development in R Capstone: Johns Hopkins University
    • Building R Packages: Johns Hopkins University
    • Using probability distributions for real world problems in R: Coursera Project Network

    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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