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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

    • T

      The Hong Kong University of Science and Technology

      Vector Calculus for Engineers

      Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Electrical Engineering, Physics, Derivatives

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics: Communicating with Data

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Collection, Data Quality, Business Analytics, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Communication, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      628 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Data Modeling, Data Integrity, Dependency Analysis, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      294 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      148 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Spreadsheet Software, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • 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
      ·
      303 reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Arm

      Arm Cortex-M Architecture and Software Development

      Skills you'll gain: Embedded Software, Performance Tuning, System Programming, Software Development Tools, Embedded Systems, Microarchitecture, Software Development, Development Environment, Hardware Architecture, Debugging, Program Development, Application Security, Build Tools, Computer Architecture, C (Programming Language), System Configuration, Application Development, Security Engineering, C++ (Programming Language), System Requirements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Advanced Analyze Phase

      Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Data Analysis, Analytical Skills, Variance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      950 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    R learners also search

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    1…202122…48

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

    • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
    • Introduction to Business Analytics: Communicating with Data : University of Illinois Urbana-Champaign
    • Relational Database Design: University of Colorado Boulder
    • Six Sigma Principles : Kennesaw State University
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign
    • Building Web Applications in Django: University of Michigan
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Arm Cortex-M Architecture and Software Development: Arm
    • Six Sigma Advanced Analyze Phase: Kennesaw State University
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan

    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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