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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

    • C

      Coursera Project Network

      RStudio for Six Sigma - Control Charts

      Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Social Computing

      Skills you'll gain: Network Analysis, Graph Theory, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Human Machine Interfaces, Data Collection, Machine Learning Methods, Behavioral Economics, Analytics, Natural Language Processing, Game Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Peking University

      计算导论与C语言基础

      Skills you'll gain: C (Programming Language), Programming Principles, Computer Science, Computer Architecture, Theoretical Computer Science, Computer Programming, Computational Logic, Computer Hardware, Data Structures, Algorithms, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 3 - 6 Months

    • U

      Universidad de los Andes

      Analítica financiera​

      Skills you'll gain: Financial Forecasting, Financial Analysis, Financial Modeling, Analytics, Time Series Analysis and Forecasting, Statistical Analysis, Risk Analysis, Predictive Modeling, Risk Management, R Programming, Data Transformation, Machine Learning Methods, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Toronto

      Data Visualization for Genome Biology

      Skills you'll gain: Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Heat Maps, Molecular Biology, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Scalable Microservices for Developers

      Skills you'll gain: Microservices, Spring Boot, Spring Framework, IntelliJ IDEA, Java Programming, Restful API, Object Oriented Programming (OOP), Java, Application Deployment, Software Architecture, API Design, Integrated Development Environments, Scalability, Service Oriented Architecture, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Distributed Computing, Computer Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Specialization · 1 - 3 Months

    • M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Building on the SIR Model

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      380 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

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    1…252627…48

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

    • RStudio for Six Sigma - Control Charts: Coursera Project Network
    • Social Computing: Johns Hopkins University
    • 计算导论与C语言基础: Peking University
    • Analítica financiera​: Universidad de los Andes
    • Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan
    • Data Visualization for Genome Biology: University of Toronto
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Scalable Microservices for Developers: Vanderbilt University
    • Data Manipulation and Cleaning in R: Microsoft
    • Building on the SIR Model: Imperial College London

    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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