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  • Statistics With R

Statistics With R Courses

Statistics with R courses can help you learn data visualization, hypothesis testing, regression analysis, and statistical modeling. You can build skills in interpreting data sets, conducting experiments, and making data-driven decisions. Many courses introduce R programming, which is widely used for statistical analysis and data manipulation, along with packages like ggplot2 for visualization and dplyr for data wrangling.

Popular Statistics With R Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    R Programming: Setup and Data Processing

    Skills you'll gain: R (Software), Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Computational Logic, Data Analysis Software, Data Preprocessing, Software Installation, Data Science, Development Environment, Computer Programming, Program Development, Computer Programming Tools, Software Development

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Geospatial Mapping, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, R (Software), Statistical Programming, Data Wrangling, Simulations, Package and Software Management

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Publishing Visualizations in R with Shiny and flexdashboard

    Skills you'll gain: Shiny (R Package), Dashboard Creation, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Application Development, Data Sharing, UI Components, User Interface (UI), Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    72 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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, Descriptive Analytics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Statistical Methods, Probability & Statistics, Biostatistics, Predictive Modeling, Model Training, Data Manipulation, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    530 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Importing Data into R

    Skills you'll gain: Web Scraping, R (Software), Relational Databases, Statistical Software, Data Import/Export, R Programming, Databases, Microsoft Excel

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    Microsoft

    Mastering Data Wrangling with dplyr

    Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, R (Software), Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Model Evaluation, Statistical Methods, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Statistical Software, Predictive Analytics, Probability & Statistics, R (Software), Public Health, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    368 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Data Visualization with R

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Data Visualization, Statistical Visualization, Spatial Analysis, Geospatial Information and Technology, Data Manipulation, Scatter Plots, R (Software), Plotly, Interactive Data Visualization, R Programming, Geospatial Mapping, Statistical Reporting, Data Wrangling, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    81 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, grep, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures

    4.3
    Rating, 4.3 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Plot (Graphics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Programming, Descriptive Analytics, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • R Programming: Setup and Data Processing: Logical Operations
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
  • Linear Regression in R for Public Health : Imperial College London
  • Importing Data into R: Coursera
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Mastering Data Wrangling with dplyr: Microsoft
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Logistic Regression in R for Public Health: Imperial College London
  • Advanced Data Visualization with R: Johns Hopkins University

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