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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

    • J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Designing, Running, and Analyzing Experiments

      Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Usability, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Research Design, Data Collection, Human Computer Interaction, Statistical Modeling, Regression Analysis

      3.6
      Rating, 3.6 out of 5 stars
      ·
      592 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      How Software Ate Finance

      Skills you'll gain: FinTech, Payment Systems, Financial Services, Financial Market, Capital Markets, Financial Trading, Asset Management, Consumer Lending, Retail Banking, Banking, Financial Regulation, Investment Management, Digital Assets, Technology Strategies, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: Version Control, GitHub, Data Manipulation, Git (Version Control System), Software Documentation, Microsoft Visual Studio, Microsoft Copilot, Data Import/Export, R Programming, Statistical Reporting, Statistical Analysis, Development Environment, Data Cleansing, Integrated Development Environments, Descriptive Statistics, Programming Principles, Debugging, Data Structures

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Embedded Hardware and Operating Systems

      Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Operating Systems, Real-Time Operating Systems, Wireless Networks, System Programming, Hardware Architecture, Simulations, C (Programming Language), Network Protocols

      4.1
      Rating, 4.1 out of 5 stars
      ·
      625 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Product R&D Teams

      Skills you'll gain: Generative AI, Innovation, New Product Development, Product Development, Ideation, Design Thinking, Process Optimization, Prompt Engineering, Ethical Standards And Conduct, Cross-Functional Collaboration

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      344 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique

      Photovoltaic solar energy

      Skills you'll gain: Data Storage Technologies, Electrical Power, Electrical Systems, Energy and Utilities, Environmental Science, Project Finance, Power Electronics, Semiconductors, Economics, Basic Electrical Systems, Environment and Resource Management, Electrical Engineering, Chemical Engineering, Chemistry

      4.2
      Rating, 4.2 out of 5 stars
      ·
      474 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Bioconductor for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Introduction to Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access

      4.5
      Rating, 4.5 out of 5 stars
      ·
      412 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      187 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Django Features and Libraries

      Skills you'll gain: Application Deployment, Django (Web Framework), Application Development, Web Development, Web Applications, Object-Relational Mapping, Database Design, Data Modeling, Authentications, User Accounts, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      394 reviews

      Intermediate · 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…202122…48

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

    • Developing Data Products: Johns Hopkins University
    • Designing, Running, and Analyzing Experiments: University of California San Diego
    • How Software Ate Finance: Stanford University
    • R Programming Essentials with Microsoft Tools: Microsoft
    • Embedded Hardware and Operating Systems: EIT Digital
    • GenAI for Product R&D Teams: Coursera Instructor Network
    • Pointers, Arrays, and Recursion: Duke University
    • Photovoltaic solar energy: École Polytechnique
    • Bioconductor for Genomic Data Science: Johns Hopkins University
    • Introduction to Clinical Data Science: University of Colorado System

    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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