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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

    • G

      Genentech

      Making Data Science Work for Clinical Reporting

      Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, Data Quality, Medical Privacy, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Methodology

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EIT Digital

      Development of Real-Time Systems

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Computer Programming, C (Programming Language), System Design and Implementation, OS Process Management, System Requirements, Computer Architecture, Simulations, Verification And Validation, Algorithms, Servers

      4.6
      Rating, 4.6 out of 5 stars
      ·
      540 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      LearnKartS

      Tableau for Data Visualization and Analysis

      Skills you'll gain: Tableau Software, Forecasting, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Storytelling, Time Series Analysis and Forecasting, Trend Analysis, Data Modeling, Exploratory Data Analysis, Data Analysis, Geospatial Mapping, Data Integration, Systems Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      C程序设计进阶

      Skills you'll gain: Object Oriented Programming (OOP), C (Programming Language), Program Development, Programming Principles, Computer Programming, Data Structures, Debugging, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      827 reviews

      Mixed · Course · 1 - 3 Months

    • B

      Birla Institute of Technology & Science, Pilani

      Introduction to Programming

      Skills you'll gain: Programming Principles, C (Programming Language), Computer Hardware, Computer Programming, Computer Architecture, Computational Thinking, Data Structures, Algorithms, File Management, Operating Systems, Program Development, Debugging

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Redes Ecológicas

      Skills you'll gain: Network Analysis, Data Visualization, Scientific Visualization, Analysis, Graph Theory, Exploratory Data Analysis, Environmental Science, R Programming, Data Analysis Software, Mathematical Modeling, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Inteligência Artificial Aplicada ao CRM

      Skills you'll gain: Customer Relationship Management, Customer Data Management, Big Data, Data Mining, Data-Driven Decision-Making, Predictive Analytics, Data Visualization, Sales Management, Customer Engagement, Data Visualization Software, Data Modeling, R Programming, Customer Insights, Advanced Analytics, Customer experience strategy (CX), Data Science, Data Analysis, Data Manipulation, Artificial Intelligence, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      91 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Universidad Austral

      Desarrollo del lado servidor: NodeJS, Express y MongoDB

      Skills you'll gain: Server Side, Node.JS, Back-End Web Development, Restful API, Web Development, MongoDB, Application Deployment, OAuth, Web Servers, Web Applications, Authentications, Application Security, Object-Relational Mapping, NoSQL, Authorization (Computing)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Amsterdam

      Try RRI! A guide for Responsible Research and Innovation

      Skills you'll gain: Science and Research, Research, Experimentation, Risk Management, Innovation, Policty Analysis, Research, and Development, Stakeholder Engagement, Governance, Collaboration, Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Sampling (Statistics), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Statistical Software, Statistics, Data Analysis, Statistical Analysis, Probability, Statistical Visualization, Data Manipulation, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    R learners also search

    Data
    Data Analysis
    Data Science
    Data Analytics
    Analysis
    R Programming
    Beginner Data Analysis
    Beginner Data Analysis
    1…272829…48

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

    • Making Data Science Work for Clinical Reporting: Genentech
    • Development of Real-Time Systems: EIT Digital
    • Tableau for Data Visualization and Analysis: LearnKartS
    • C程序设计进阶: Peking University
    • Introduction to Programming: Birla Institute of Technology & Science, Pilani
    • Redes Ecológicas: Universidade de São Paulo
    • Inteligência Artificial Aplicada ao CRM: Fundação Instituto de Administração
    • Desarrollo del lado servidor: NodeJS, Express y MongoDB: Universidad Austral
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Try RRI! A guide for Responsible Research and Innovation: University of Amsterdam

    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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