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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

    • 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

    • U

      University of Michigan

      Building Objects in C

      Skills you'll gain: C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Data Structures, Computer Programming, Software Design, Python Programming, Java, Algorithms, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Defining, Describing, and Visualizing Data

      Skills you'll gain: Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Visualization, Data Visualization, Statistical Analysis, Box Plots, Probability, R Programming, Probability & Statistics, Data Manipulation, Histogram, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Statistical Analysis, Data Analysis, Box Plots, Systems Of Measurement, Data Quality, Run Chart, R Programming, Scatter Plots, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      Leadership and Team Management

      Skills you'll gain: Team Motivation, Team Leadership, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Organizational Change, Six Sigma Methodology, Team Building, Cross-Functional Team Leadership, Teamwork, Leadership and Management, Lean Six Sigma, Business Metrics, Collaboration, Project Management, Organizational Structure, Key Performance Indicators (KPIs), Delegation Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnKartS

      Advanced Java

      Skills you'll gain: Spring Framework, Java Programming, Java, Restful API, Spring Boot, Application Servers, Application Frameworks, Application Performance Management, Server Side, Database Management, Data Access, Object-Relational Mapping, Web Applications, SQL, Model View Controller

      3.7
      Rating, 3.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 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

      Universidades Anáhuac

      Metodología Agile: la evolución de la mejora continua

      Skills you'll gain: Process Improvement, Agile Methodology, Continuous Improvement Process, Agile Project Management, Conflict Management, Team Building, Lean Methodologies, Sprint Retrospectives, Team Leadership, Employee Coaching, Sprint Planning, Active Listening

      4.4
      Rating, 4.4 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Regression Analysis, Data Validation, Feature Engineering, Exploratory Data Analysis, Statistical Modeling, Data Transformation, Statistical Methods, Plot (Graphics), Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Statistical Inference, Linear Algebra, Statistical Hypothesis Testing, Probability Distribution

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Control Charts

      Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Codio

      Select Topics in Python: Django

      Skills you'll gain: Version Control, GitHub, Django (Web Framework), Application Deployment, Object-Relational Mapping, Unit Testing, Database Development, Bootstrap (Front-End Framework), Model View Controller, Virtual Environment, Application Frameworks, PostgreSQL, HTML and CSS

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 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…404142…48

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

    • RStudio for Six Sigma - Process Capability: Coursera Project Network
    • Building Objects in C: University of Michigan
    • Defining, Describing, and Visualizing Data: University of Colorado Boulder
    • Measurement Systems Analysis: University of Colorado Boulder
    • Leadership and Team Management: SkillUp EdTech
    • Advanced Java: LearnKartS
    • ASP.NET Core - SOLID and Clean Architecture (.NET 5 and Up): Packt
    • Metodología Agile: la evolución de la mejora continua: Universidades Anáhuac
    • Zero to Hero: Master Java SpringBoot & JPA with Projects: Packt
    • Model Diagnostics and Remedial Measures: Illinois Tech

    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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