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    R 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 Course Catalog

    • Status: Free
      Free
      J

      Johns Hopkins University

      Der Werkzeugkasten des Data Scientist

      Skills you'll gain: Rmarkdown, Data Science, Version Control, Big Data, R Programming, Software Development Tools, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Integrated Development Environments, Technical Communication, Software Installation

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      B

      Ball State University

      Statistical Methods for Data Science

      Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Statistical Analysis, Statistical Modeling, R Programming, Statistical Hypothesis Testing, Sampling (Statistics), Dimensionality Reduction, Statistical Visualization

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      لغة البرمجة C++ لمبرمجي C، الجزء (ب)

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Foundations of Information Security and Incident Handling

      Skills you'll gain: Incident Response, Computer Security Incident Management, Threat Management, Vulnerability Management, Risk Management Framework, Incident Management, Security Management, Information Systems Security, Vulnerability Assessments, Information Assurance, Cybersecurity, Cyber Security Policies, Cyber Risk, Security Controls, Security Awareness, Data Integrity, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Pointers and Memory in C: Build a Rocket Display Module

      Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language)

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Meta

      Trabajar con datos en Android

      Skills you'll gain: Restful API, Android Development, Kotlin, Android Studio, Application Programming Interface (API), Mobile Development, Object-Relational Mapping, Database Management, Databases, JSON, SQL, Other Programming Languages

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Django (Python) Web Framework - The Comprehensive Guide

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, Restful API, Bootstrap (Front-End Framework), Model View Controller, Application Deployment, Authentications, Web Development, User Accounts, Query Languages, Database Management, Authorization (Computing), Development Environment, Data Migration, User Interface (UI), Data Modeling

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      OpenCL Programming

      Skills you'll gain: Distributed Computing, Scalability, Performance Tuning, C++ (Programming Language), Embedded Software, System Programming, Computer Architecture, Cross Platform Development, Hardware Architecture, Application Development, C (Programming Language), Programming Principles, Open Source Technology, Program Development, Application Performance Management, Development Environment

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Complete SAS Guide - Learn SAS and Become a Data Ninja

      Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Feature Engineering, Data Analysis, R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, System Configuration

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Financial Insights and Analysis with QUILL

      Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Financial Statement Analysis, Workflow Management, Financial Forecasting, Competitive Intelligence, Data-Driven Decision-Making, Financial Statements, Text Mining, Market Intelligence, Investment Management, Financial Market, Artificial Intelligence, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…45464748

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

    • Der Werkzeugkasten des Data Scientist: Johns Hopkins University
    • Statistical Methods for Data Science: Ball State University
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • Inferenzstatistik: Duke University
    • لغة البرمجة C++ لمبرمجي CØŒ الجزء (ب): University of California, Santa Cruz
    • Foundations of Information Security and Incident Handling: Packt
    • Pointers and Memory in C: Build a Rocket Display Module: Coursera Project Network
    • Trabajar con datos en Android: Meta
    • Django (Python) Web Framework - The Comprehensive Guide: Packt
    • OpenCL Programming: Coursera Instructor 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

    R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis, statistical computing, and graphical representation, including:

    • Fundamentals of R syntax and programming environment
    • Data manipulation and cleaning techniques using R packages like dplyr and tidyr
    • Statistical analysis and model building to interpret complex data sets
    • Creating compelling visualizations with ggplot2 and other visualization tools
    • Developing reproducible reports and interactive web apps with R Markdown and Shiny
    • Applying R in various domains such as finance, healthcare, and academic research ‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication:

    • Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language.
    • Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R.
    • Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R. ‎

    Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.‎

    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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