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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

    • I

      Infosec

      C++ Superpowers and More

      Skills you'll gain: Secure Coding, Application Security, System Programming, C++ (Programming Language), C (Programming Language), Unix, Embedded Systems, Debugging, Operating Systems, Data Security, Linux

      3.9
      Rating, 3.9 out of 5 stars
      ·
      11 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Process Capability

      Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Probability & Statistics, Statistical Methods, Business Metrics, R Programming, Data Import/Export

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      Northeastern University

      Data-Driven Systems: DBMS, SQL & Data Modeling

      Skills you'll gain: Database Design, Database Theory, MongoDB, Database Development, Database Management Systems, Databases, Data Modeling, Database Architecture and Administration, NoSQL, Relational Databases, Unified Modeling Language, SQL, Data Integrity, Query Languages, Performance Tuning, Conceptual Design

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Full-Stack Developer Capstone Project

      Skills you'll gain: ASP.NET, Restful API, Full-Stack Web Development, Performance Tuning, .NET Framework, Application Programming Interface (API), Cloud Development, Data Modeling, Development Environment, Cloud Applications, Software Development Tools, Object-Relational Mapping, Application Deployment, Web Development, Software Development, Cloud Infrastructure, Web Applications, UI Components, Back-End Web Development, Cloud Platforms

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Zero to Hero: Master Java SpringBoot & JPA with Projects

      Skills you'll gain: Spring Framework, GitHub, Git (Version Control System), Spring Boot, Version Control, Restful API, Object-Relational Mapping, Java Programming, Hibernate (Java), Java, Web Services, JUnit, Authentications, Postman API Platform, User Accounts, Secure Coding, API Design, JSON, Database Management Systems, Model View Controller

      Intermediate · Course · 3 - 6 Months

    • P

      Packt

      ASP.NET Core - SOLID and Clean Architecture (.NET 5 and Up)

      Skills you'll gain: ASP.NET, .NET Framework, Software Design Patterns, Maintainability, Software Design, C# (Programming Language), Software Architecture, Authentications, Application Programming Interface (API), Secure Coding, Restful API, Software Testing, Unit Testing, Microsoft Visual Studio, User Interface (UI), Object-Relational Mapping, Infrastructure Architecture, Data Validation

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      SkillUp EdTech

      Java Development with Databases 

      Skills you'll gain: Hibernate (Java), Object-Relational Mapping, Spring Boot, Restful API, Java, NoSQL, Database Development, Databases, SQL, Database Design, Java Programming, Data Access, Database Management, Relational Databases, Back-End Web Development, Query Languages

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Dashboard Development with Shiny: GenAI for Retail Analysis

      Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Presentation, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Web Applications, Data Import/Export

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Università di Napoli Federico II

      Python per la Data Science

      Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Infosec

      C++ Lab Content

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Secure Coding, Application Security, System Programming, Debugging, Vulnerability Assessments, Development Environment

      2.7
      Rating, 2.7 out of 5 stars
      ·
      7 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, Statistical Inference, Linear Algebra

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…414243…48

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

    • C++ Superpowers and More: Infosec
    • RStudio for Six Sigma - Process Capability: Coursera Project Network
    • Data-Driven Systems: DBMS, SQL & Data Modeling: Northeastern University
    • Full-Stack Developer Capstone Project: Microsoft
    • Zero to Hero: Master Java SpringBoot & JPA with Projects: Packt
    • ASP.NET Core - SOLID and Clean Architecture (.NET 5 and Up): Packt
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Java Development with Databases : SkillUp EdTech
    • Dashboard Development with Shiny: GenAI for Retail Analysis: Coursera Project Network
    • Python per la Data Science: Università di Napoli Federico II

    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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