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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

    • U

      UniversitĆ  di Napoli Federico II

      Machine Learning e Data MiningĀ in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      9 reviews

      Intermediate Ā· Course Ā· 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
      Ā·
      17 reviews

      Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    • C

      Coursera Project Network

      Data Manipulation with dplyr in R

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

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      21 reviews

      Beginner Ā· Guided Project Ā· Less Than 2 Hours

    • C

      Coursera Project Network

      Transforming Data in R

      Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      24 reviews

      Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    • C

      Coursera Project Network

      Forecast bikeshare demand using time series models in R

      Skills you'll gain: R Programming, Data Visualization, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning

      5
      Rating, 5 out of 5 stars
      Ā·
      6 reviews

      Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    • J

      Johns Hopkins University

      Publishing Visualizations in R with Shiny and flexdashboard

      Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, UI Components, Web Applications, User Interface (UI), Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      70 reviews

      Mixed Ā· Course Ā· 1 - 4 Weeks

    • C

      Coursera Project Network

      Joining Data in R using dplyr

      Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation

      Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    • U

      University of California San Diego

      Interaction Design

      Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, A/B Testing, Usability Testing, User Centered Design, Mockups, Human Computer Interaction, Human Factors, Collaborative Software, Telecommuting

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      4K reviews

      Intermediate Ā· Specialization Ā· 3 - 6 Months

    • U

      University of Pennsylvania

      Business Foundations

      Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Human Capital, Go To Market Strategy, Process Analysis, Branding, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Balance Sheet, Consumer Behaviour, Human Resource Strategy, Marketing Planning, Peer Review, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      26K reviews

      Beginner Ā· Specialization Ā· 3 - 6 Months

    • U

      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Return On Investment, Financial Reporting, Capital Budgeting, Financial Statements, Financial Modeling, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Business Mathematics, Financial Planning, Corporate Finance, Predictive Analytics, Spreadsheet Software, Google Sheets, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      17K reviews

      Beginner Ā· Specialization Ā· 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Cloud-Native Computing, Software Development Life Cycle, Docker (Software), Containerization, Hibernate (Java), Git (Version Control System), GitHub, Microservices, HTML and CSS, Object Oriented Programming (OOP), Spring Boot, Object-Relational Mapping, Development Environment, Continuous Integration, Version Control, Agile Methodology, Large Language Modeling, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      5.3K reviews

      Beginner Ā· Professional Certificate Ā· 3 - 6 Months

    • G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Google Analytics, Data Processing, Analytical Skills, Artificial Intelligence, R Programming, Data Storytelling, Project Documentation, Presentations, Portfolio Management, LinkedIn

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      18K reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    R learners also search

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    1…678…48

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

    • Machine Learning e Data MiningĀ in R:Ā UniversitĆ  di Napoli Federico II
    • Data Visualization using dplyr and ggplot2 in R:Ā Coursera Project Network
    • Data Manipulation with dplyr in R:Ā Coursera Project Network
    • Transforming Data in R:Ā Coursera Project Network
    • Forecast bikeshare demand using time series models in R:Ā Coursera Project Network
    • Publishing Visualizations in R with Shiny and flexdashboard:Ā Johns Hopkins University
    • Joining Data in R using dplyr:Ā Coursera Project Network
    • Interaction Design:Ā University of California San Diego
    • Business Foundations:Ā University of Pennsylvania
    • Finance & Quantitative Modeling for Analysts:Ā University of Pennsylvania

    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 ā€Ž

    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.ā€Ž

    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.ā€Ž

    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. ā€Ž

    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.ā€Ž

    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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