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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

    • 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
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Using Descriptive Statistics to Analyze Data in R

      Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistical Methods, Data Manipulation, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      Università di Napoli Federico II

      Machine Learning e Data Mining 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
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      How to Visualize Data with R

      Skills you'll gain: Data Visualization Software, Ggplot2, Statistical Visualization, R Programming, Scatter Plots, Regression Analysis, Data Manipulation, Statistical Modeling, Data Analysis, Data Import/Export, Exploratory Data Analysis, Development Environment, Data Structures, Software Installation

      Intermediate · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      Using R for Regression and Machine Learning in Investment

      Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Applied Machine Learning, Supervised Learning, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 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 · Guided Project · 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
      ·
      70 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 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
      ·
      26K reviews

      Beginner · Specialization · 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
      ·
      17K reviews

      Beginner · Specialization · 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
      ·
      5.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • A

      Amazon Web Services

      AWS Cloud Solutions Architect

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Storage, Data Architecture, API Gateway, Data Infrastructure, AWS CloudFormation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Forecast bikeshare demand using time series models in R: Coursera Project Network
    • Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
    • Machine Learning e Data Mining in R: Università di Napoli Federico II
    • How to Visualize Data with R: Packt
    • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
    • Joining Data in R using dplyr: Coursera Project Network
    • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Business Foundations: University of Pennsylvania
    • Finance & Quantitative Modeling for Analysts: 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 ‎

    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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