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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: Free Trial
      Free Trial
      U

      University of London

      Web Application Development with JavaScript and MongoDB

      Skills you'll gain: User Accounts, MongoDB, Full-Stack Web Development, Command-Line Interface, Web Applications, Web Development, Javascript, Data Access, Data Validation, Application Frameworks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      615 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization using dplyr and ggplot2 in R

      Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Programming in C#: A comprehensive approach to C# Fundamentals

      Skills you'll gain: Microsoft Visual Studio, C# (Programming Language), Integrated Development Environments, Program Development, Programming Principles, Computer Programming, Command-Line Interface, Computational Logic

      4.4
      Rating, 4.4 out of 5 stars
      ·
      216 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Flutter and Dart: Developing iOS, Android, and Mobile Apps

      Skills you'll gain: Flutter (Software), Mobile Development, iOS Development, Apple iOS, User Interface (UI), Android Development, User Interface and User Experience (UI/UX) Design, Application Development, Cross Platform Development, Application Programming Interface (API), Software Development Tools, Debugging, Object Oriented Programming (OOP)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      70 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Antibióticos ¿cuándo, cómo y para qué?

      Skills you'll gain: Preventative Care, Microbiology, Medical Prescription, Public Health, Infectious Diseases, Infection Control, Pharmacology, Pharmacotherapy, Patient Education And Counseling, Health Assessment

      4.3
      Rating, 4.3 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Python: A Guided Journey from Introduction to Application

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, Generative AI, NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Integrated Development Environments, Pandas (Python Package), Development Environment, Data Structures, Event-Driven Programming, Python Programming, Programming Principles, Scripting, User Interface (UI)

      4
      Rating, 4 out of 5 stars
      ·
      54 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Snowflake

      Introduction to Modern Data Engineering with Snowflake

      Skills you'll gain: Data Pipelines, Data Transformation, Extract, Transform, Load, Data Integration, Data Warehousing, Real Time Data, Data Import/Export, Stored Procedure, Data Sharing, SQL, Automation, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Programación en Python II: aprendiendo a estructurar datos

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Computer Programming, Algorithms, Python Programming, Computational Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      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
      ·
      272 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Import/Export, Data Wrangling, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      O

      Olay

      Cosmetic Product Development

      Skills you'll gain: Product Development, Packaging and Labeling, Prototyping, New Product Development, Product Design, Feasibility Studies, Product Lifecycle Management, Customer Analysis, Production Process, Commercialization, Product Testing, Manufacturing Processes, Consumer Behaviour, Market Research, Innovation, Quality Control, Regulatory Compliance, Market Trend

      4.7
      Rating, 4.7 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 4 Weeks

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
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    1…798081…291

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

    • Web Application Development with JavaScript and MongoDB: University of London
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Data Visualization using dplyr and ggplot2 in R: Coursera Project Network
    • Programming in C#: A comprehensive approach to C# Fundamentals: Coursera Project Network
    • Flutter and Dart: Developing iOS, Android, and Mobile Apps: IBM
    • Antibióticos ¿cuándo, cómo y para qué?: Universidad Nacional Autónoma de México
    • Python: A Guided Journey from Introduction to Application: Arizona State University
    • Introduction to Modern Data Engineering with Snowflake: Snowflake
    • Programación en Python II: aprendiendo a estructurar datos: Pontificia Universidad Católica de Chile
    • Programación Orientada a Objetos con Python: Universidad Austral

    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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