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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

    • C

      Coursera Project Network

      Calculating Descriptive Statistics in R

      Skills you'll gain: Data Analysis, Data Science, General Statistics, R Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistics

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Data Manipulation with dplyr in R

      Skills you'll gain: Data Analysis, R Programming, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: R Programming, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Probability & Statistics, Biostatistics, Scatter Plots

      4.8
      Rating, 4.8 out of 5 stars
      ·
      516 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Statistical Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Fundamentals of Data Analytics in the Public Sector with R

      Skills you'll gain: Data Analysis, Exploratory Data Analysis, General Statistics, R Programming, Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Using Descriptive Statistics to Analyze Data in R

      Skills you'll gain: Basic Descriptive Statistics, General Statistics, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Python Programming, Basic Descriptive Statistics, Data Analysis, Data Science, Data Visualization, Data Visualization Software, R Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      C

      Coursera Project Network

      Tidy Messy Data using tidyr in R

      Skills you'll gain: Data Analysis, Data Management, Data Visualization, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Biostatistics, R Programming, Statistical Programming, Statistical Tests, Epidemiology, Regression

      4.5
      Rating, 4.5 out of 5 stars
      ·
      319 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Calculating Descriptive Statistics in R: Coursera Project Network
    • Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
    • Data Manipulation with dplyr in R: Coursera Project Network
    • Data Science: Johns Hopkins University
    • Building Statistical Models in R: Linear Regression: Coursera Project Network
    • Linear Regression in R for Public Health : Imperial College London
    • Genomic Data Science: Johns Hopkins University
    • Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
    • Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio

    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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