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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

    • K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Methodologies, Lean Six Sigma, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Data Analysis, Lean Manufacturing, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Simulation of Covid-19 Testing Process Using R Simmer

      Skills you'll gain: Simulations, Visualization (Computer Graphics), Scenario Testing, R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Virginia

      Introduction to Personal Branding

      Skills you'll gain: Branding, Brand Strategy, Brand Management, Personal Attributes, Digital Assets, Social Media, Personally Identifiable Information, Computer Security Awareness Training, Self-Awareness, Social Media Strategy, Information Privacy, Constructive Feedback

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8.8K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Data Science, Classification And Regression Tree (CART), Ggplot2, Random Forest Algorithm, Exploratory Data Analysis, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Transforming Data in R

      Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Introduction to FinTech Using R

      Skills you'll gain: Shiny (R Package), FinTech, Financial Market, R Programming, Financial Management, Asset Management, Financial Modeling, Financial Analysis, Artificial Intelligence, Web Applications, Portfolio Management, Predictive Modeling, Time Series Analysis and Forecasting, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of Michigan

      Intro to AR/VR/MR/XR: Technologies, Applications & Issues

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Virtual Reality, Web Content Accessibility Guidelines, Emerging Technologies, Virtual Environment, Display Devices, Design Strategies, Human Computer Interaction, User Experience Design, Information Privacy, Conceptual Design, Diversity Equity and Inclusion Initiatives, Innovation, Personally Identifiable Information, Safety and Security, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      385 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of California, Santa Cruz

      Go and C++: Programming in Two Successor Languages of C

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Programming Principles, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Computer Programming, Software Testing, Computer Science, Graph Theory, File Management, Artificial Intelligence, Integration Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Six Sigma Green Belt: Kennesaw State University
    • Simulation of Covid-19 Testing Process Using R Simmer: Coursera Project Network
    • Introduction to Personal Branding: University of Virginia
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Clustering and Classification with Machine Learning in R: Packt
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Transforming Data in R: Coursera Project Network
    • Introduction to FinTech Using R: Packt
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)

    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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