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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

      Illinois Tech

      Public Engagement for Scientists

      Skills you'll gain: Technical Communication, Oral Expression, Data Presentation, Data Ethics, Technical Writing, Report Writing, Persuasive Communication, Writing, Media and Communications, Graphic and Visual Design, Research Reports, Interpersonal Communications, Data Cleansing, Design Elements And Principles

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      Improvement Techniques and Control Tools

      Skills you'll gain: Lean Methodologies, Process Improvement, Quality Improvement, Lean Manufacturing, Continuous Improvement Process, Process Optimization, Six Sigma Methodology, Process Management, Quality Control, Employee Training, Waste Minimization

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    • E

      Edureka

      Web Development with Rust

      Skills you'll gain: Restful API, System Programming, API Design, Rust (Programming Language), Web Frameworks, Server Side, Web Development, Application Programming Interface (API), Back-End Web Development, Web Servers, Web Applications, Object-Relational Mapping, Secure Coding, Software Documentation, Database Development

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Spring Framework Master Class: Java Spring - The Modern Way

      Skills you'll gain: Spring Framework, Build Tools, Spring Boot, JUnit, Eclipse (Software), Java, Gradle, Apache Maven, Web Applications, Hibernate (Java), Model View Controller, Object-Relational Mapping, Software Testing, Databases, Dependency Analysis

      Beginner · Course · 3 - 6 Months

    • P

      Packt

      .NET Core Microservices - The Complete Guide (.NET 6 MVC)

      Skills you'll gain: Microservices, .NET Framework, Microsoft Azure, Software Architecture, Object-Relational Mapping, API Gateway, Authentications, Data Storage, Software Development, Systems Architecture, Model View Controller, Application Programming Interface (API), Middleware, Restful API, Authorization (Computing), User Interface (UI)

      Beginner · Course · 3 - 6 Months

    • D

      Dartmouth College

      Reflections from 40 Years Fighting International Epidemics

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Emergency Response, Health Care, Health Systems, Health Policy, Medical Science and Research, Liberal Arts, Direct Patient Care, Cultural Sensitivity, Storytelling

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      ASP.NET Core MVC - Cross-Platform Development

      Skills you'll gain: ASP.NET, .NET Framework, Model View Controller, Version Control, GitHub, Microsoft Development Tools, Cross Platform Development, Development Environment, C# (Programming Language), Bootstrap (Front-End Framework), Object-Relational Mapping, Authentications, Database Development, Database Design, Databases, Software Development Tools, Web Design and Development, UI Components, Integrated Development Environments

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Advanced Machine Learning and Deep Learning

      Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Statistical Machine Learning, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      E

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      MOOC X MOOC

      Skills you'll gain: Learning Management Systems, Solution Design, Student Engagement, Web Content Accessibility Guidelines, Education Software and Technology

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Quantitative Research Methods: Tools for Data Analysis

      Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

      Intermediate · Course · 1 - 4 Weeks

    R learners also search

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    1…444546…48

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

    • Public Engagement for Scientists: Illinois Tech
    • Improvement Techniques and Control Tools: SkillUp EdTech
    • Complete Visual Guide to Machine Learning: Maven Analytics
    • Web Development with Rust: Edureka
    • Spring Framework Master Class: Java Spring - The Modern Way: Packt
    • .NET Core Microservices - The Complete Guide (.NET 6 MVC): Packt
    • Reflections from 40 Years Fighting International Epidemics: Dartmouth College
    • ASP.NET Core MVC - Cross-Platform Development: Packt
    • Advanced Machine Learning and Deep Learning: Packt
    • Practical Deep Learning with Python: Edureka

    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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