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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

      Universidades Anáhuac

      Metodología Agile: la evolución de la mejora continua

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Serverless Architectures on AWS

      Skills you'll gain: AWS CloudFormation, Serverless Computing, Infrastructure as Code (IaC), Amazon Web Services, Application Programming Interface (API), Cloud Infrastructure, Event-Driven Programming, Authentications, Amazon S3, Amazon DynamoDB, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Finding and Preparing for the Right Job

      Skills you'll gain: Leadership and Management

      Beginner · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Python per la Data Science

      Skills you'll gain: Business Analysis, Data Analysis, Leadership and Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Sustainable Construction Management

      Skills you'll gain: Construction Management, Stakeholder Engagement, Facility Management, Corporate Sustainability, Building Information Modeling, Engineering Management, Facility Operations, Architectural Engineering, Project Design, Sustainability Reporting, Environmental Management Systems, Civil Engineering, Project Management, Property Management, HVAC, Environment Health And Safety, Thermal Management, Disaster Recovery, Materials Management, Waste Minimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Strategy, Leadership and Management, Business Analysis, Communication, Strategy and Operations, Entrepreneurship, Market Analysis, Data Analysis, Decision Making, Planning

      Mixed · Course · 1 - 3 Months

    • Placeholder
      S

      SkillUp EdTech

      Intro to Lean Six Sigma and Project Identification Methods

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo combinar y analizar datos complejos

      Skills you'll gain: Business Analysis, Communication, Entrepreneurship, Leadership and Management, Strategy, Strategy and Operations, Data Analysis, Decision Making, Design and Product, Market Analysis

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      E

      Edureka

      Power BI Integration with AWS and Snowflake

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      A

      Amazon Web Services

      Hands-on with AWS: Software Development Practices

      Skills you'll gain: Continuous Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      L

      LearnKartS

      Tableau for Data Visualization and Analysis

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Intermediate · Course · 1 - 3 Months

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

    • Metodología Agile: la evolución de la mejora continua: Universidades Anáhuac
    • Serverless Architectures on AWS: Amazon Web Services
    • Finding and Preparing for the Right Job: University of California, Irvine
    • Python per la Data Science: Università di Napoli Federico II
    • Sustainable Construction Management: University of Maryland, College Park
    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Intro to Lean Six Sigma and Project Identification Methods : SkillUp EdTech
    • Cómo combinar y analizar datos complejos: University of Maryland, College Park
    • Power BI Integration with AWS and Snowflake: Edureka
    • Hands-on with AWS: Software Development Practices: Amazon Web Services

    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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