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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

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Building Web Applications in Django

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, Database Design, Model View Controller, SQL, Databases, Object Oriented Programming (OOP), Web Applications, Data Modeling, Application Security, Hypertext Markup Language (HTML), Software Design Patterns, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      777 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Film, Images & Historical Interpretation in the 20th Century: The Camera Never Lies

      Skills you'll gain: Public History, Photography, Photo Editing, Journalism, Media and Communications, Research, World History, Storytelling, Political Sciences, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      382 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Arithmetic, Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Combinatorics, Algebra, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Data Science Ethics with R

      Skills you'll gain: Data Ethics, Data Integrity, Data Collection, Data Quality, Data Presentation, Data Literacy, Data Visualization Software, R Programming, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Root Cause Analysis: Principles and Benefits

      Skills you'll gain: Root Cause Analysis, Operational Efficiency, Corrective and Preventive Action (CAPA), Continuous Improvement Process, Product Quality (QA/QC), Process Improvement, Operational Excellence, Proactivity, Complex Problem Solving

      4.5
      Rating, 4.5 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      162 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Manchester

      Managing Responsibly: Practicing Sustainability, Responsibility and Ethics

      Skills you'll gain: Corporate Sustainability, Business Ethics, Environmental Social And Corporate Governance (ESG), Intercultural Competence, Ethical Standards And Conduct, Team Management, Team Oriented, Decision Making, Cultural Diversity, Systems Thinking, Organizational Change, Governance, Stakeholder Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      664 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Django Application Development with SQL and Databases

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, SQL, Bootstrap (Front-End Framework), Relational Databases, Database Management, Database Design, Full-Stack Web Development, Databases, Cloud Applications, Web Applications, Application Deployment, Authentications, Model View Controller, UI Components, Application Development, Authorization (Computing), Responsive Web Design, Content Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      327 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Linear Regression for Business Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      304 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidades Anáhuac

      Análisis de datos empresariales con R

      Skills you'll gain: Business Analytics, R Programming, Statistical Analysis, Correlation Analysis, Data Analysis, Exploratory Data Analysis, Statistics, Unsupervised Learning, Advanced Analytics, Data Visualization, Dimensionality Reduction

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Principles

      Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Quality Improvement, Process Improvement, Quality Management, Team Management, Lean Manufacturing, Continuous Improvement Process, Business Process, Business Metrics, Production Process, Root Cause Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      164 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Building Web Applications in Django: University of Michigan
    • Film, Images & Historical Interpretation in the 20th Century: The Camera Never Lies: University of London
    • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
    • Data Science Ethics with R: Duke University
    • Root Cause Analysis: Principles and Benefits: Coursera Instructor Network
    • C Programming for Everybody: University of Michigan
    • Managing Responsibly: Practicing Sustainability, Responsibility and Ethics: University of Manchester
    • Django Application Development with SQL and Databases: IBM
    • Linear Regression for Business Statistics: Rice University
    • Precalculus through Data and Modelling: Johns Hopkins University

    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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