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    • R

    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

    • A

      Arm

      Arm Cortex-M Processors Overview

      Skills you'll gain: Microarchitecture, Computer Architecture, Embedded Software, Embedded Systems, Hardware Architecture, System Requirements, Product Support

      4.6
      Rating, 4.6 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Dartmouth College

      C Programming: Getting Started - 1

      Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      248 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data Visualization Capstone

      Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

      5
      Rating, 5 out of 5 stars
      ·
      33 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Importing Data in the Tidyverse

      Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Storage, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Financial Management for Product Leaders

      Skills you'll gain: Financial Statements, Financial Modeling, Proposal Writing, Corporate Finance, Business Metrics, Balance Sheet, Business Valuation, Entrepreneurial Finance, Internal Communications, Financial Management, Cost Benefit Analysis, Project Finance, Return On Investment, Financial Forecasting, Product Management, Presentations, Cash Flows, Innovation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Interacting with the System and Managing Memory

      Skills you'll gain: Maintainability, Program Development, C (Programming Language), Software Engineering, System Programming, Programming Principles, Software Development, Simulations, Command-Line Interface, Operating Systems, User Interface (UI), Data Structures, Debugging, Data Import/Export, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      数据结构基础

      Skills you'll gain: Data Structures, Computational Thinking, Graph Theory, Theoretical Computer Science, Programming Principles, Algorithms, Computer Programming, Data Storage, C (Programming Language), C++ (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      251 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API

      Skills you'll gain: Query Languages, Data Manipulation, Metadata Management, Text Mining, Cloud API, Generative AI, Google Cloud Platform, Image Analysis

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Intermediate · Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Building Data Visualization Tools

      Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Datamaps, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Statistical Visualization, Histogram, Graphic and Visual Design, R Programming, Spatial Data Analysis, Geographic Information Systems

      3.9
      Rating, 3.9 out of 5 stars
      ·
      158 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Houston

      Powerful Tools for Teaching and Learning: Web 2.0 Tools

      Skills you'll gain: Collaborative Software, Education Software and Technology, Learning Management Systems, Creative Design, Technology Strategies, Web Applications, Content Management, Digital Communications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      185 reviews

      Beginner · Course · 1 - 3 Months

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…232425…48

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

    • Arm Cortex-M Processors Overview: Arm
    • Big Data, Genes, and Medicine: The State University of New York
    • C Programming: Getting Started - 1: Dartmouth College
    • Data Visualization Capstone: Johns Hopkins University
    • Importing Data in the Tidyverse: Johns Hopkins University
    • Financial Management for Product Leaders: University of Maryland, College Park
    • Interacting with the System and Managing Memory: Duke University
    • 数据结构基础: Peking University
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API: Google Cloud

    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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