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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

    • U

      University of Michigan

      Internet History, Technology, and Security

      Skills you'll gain: Network Security, OSI Models, Network Administration, Network Protocols, Network Architecture, TCP/IP, Web Applications, Computer Networking, Encryption, Internet Of Things, Web Development, Innovation, Emerging Technologies, Hypertext Markup Language (HTML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Theory, Database Management Systems, Data Modeling, JSON, Scalability, Database Management, Query Languages, Cloud Applications, Data Manipulation, Text Mining, Databases, Data Integrity, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Business Analytics

      Skills you'll gain: Data Storytelling, Extract, Transform, Load, Marketing Analytics, Data Presentation, Data Visualization, Regression Analysis, Alteryx, Data Collection, Interactive Data Visualization, Data Quality, Statistical Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Data Processing, Network Analysis, Business Analytics, Internal Controls, Exploratory Data Analysis, Robotic Process Automation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Bayesian Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Ethics, Data Science, Quantitative Research, Statistics, Sample Size Determination, Descriptive Statistics, Correlation Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      322 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      M

      Michigan State University

      Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course)

      Skills you'll gain: Peer Review, Writing, Editing, Storytelling, Proofreading, Creativity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      772 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build and deploy a stroke prediction model using R

      Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Toronto

      Introduction To Swift Programming

      Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Image Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Davis

      Secure Coding Practices

      Skills you'll gain: Threat Modeling, Open Web Application Security Project (OWASP), Secure Coding, Cryptography, Authentications, Encryption, Penetration Testing, Application Security, Data Security, Security Controls, Vulnerability Assessments, Software Design, C and C++, Vulnerability Management, Authorization (Computing), Java, Linux, Programming Principles, Debugging, Security Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      591 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Python Project for Data Engineering

      Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      763 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    R Programming learners also search

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    1…353637…289

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

    • Internet History, Technology, and Security: University of Michigan
    • PostgreSQL for Everybody: University of Michigan
    • Business Analytics: University of Illinois Urbana-Champaign
    • Applied Text Mining in Python: University of Michigan
    • Advanced Algorithms and Complexity: University of California San Diego
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course): Michigan State University
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Introduction To Swift Programming: University of Toronto
    • Secure Coding Practices: University of California, Davis

    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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