R Statistics Courses
R Statistics courses can help you learn data manipulation, statistical modeling, hypothesis testing, and data visualization techniques. You can build skills in regression analysis, time series forecasting, and creating reproducible reports. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support analyzing datasets and presenting findings effectively. By engaging with these tools, you can apply statistical methods to real-world problems, enhancing your ability to draw insights from data.
Popular R Statistics Courses and Certifications
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: R Programming, Rmarkdown, R (Software), Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Plot (Graphics), Statistical Visualization, Data Analysis, Statistical Reporting, Data Visualization Software, Data Presentation, Data Science, Data Manipulation, Statistical Analysis, Data Wrangling, Data Cleansing, Data Integration, Communication
Status: NewStatus: Free TrialLogical Operations
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
Status: PreviewSungkyunkwan University
Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Modeling, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management
Status: Free TrialCase Western Reserve University
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
Skills you'll gain: Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R (Software), R Programming, Scatter Plots, Data Collection, Graphing, Data Analysis, Data Manipulation, Data Access, Data Import/Export, Regression Analysis, Data Structures, Development Environment, Software Installation
Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning
Status: Free TrialSkills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Manipulation, Data Cleansing, Statistical Modeling, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Data Import/Export, R (Software), Data Wrangling, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Programming Principles
Status: Free TrialJohns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, R (Software), GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, Test Case, Testability, R Programming, Code Reusability, Knitr, Continuous Integration, Program Development, Build Tools, Git (Version Control System), Development Testing
Status: NewStatus: Free TrialSkills you'll gain: Exploratory Data Analysis, Data Storytelling, Ggplot2, Data Analysis, Plot (Graphics), R (Software), Regression Analysis, Data Presentation, R Programming, Statistical Analysis, Data Visualization Software, Statistical Visualization, Data Quality, Scatter Plots, Anomaly Detection, Descriptive Statistics, Analytical Skills, Correlation Analysis, Graphing
Skills you'll gain: Simulations, Plot (Graphics), Statistical Visualization, R (Software), R Programming, Statistical Programming, Statistical Methods, Process Modeling, Statistical Analysis, Process Analysis, Data Analysis
Status: Free TrialSkills you'll gain: Rmarkdown, Plot (Graphics), Statistical Visualization, Data Presentation, Box Plots, Scatter Plots, Data Visualization, Interactive Data Visualization, Dashboard Creation, Histogram, Descriptive Statistics, Data Visualization Software, R (Software), R Programming, Integrated Development Environments, Data Science
In summary, here are 10 of our most popular r statistics courses
- R Programming and Tidyverse Capstone Project:Â University of Colorado Boulder
- R Programming: Setup and Data Processing:Â Logical Operations
- Using R for Regression and Machine Learning in Investment:Â Sungkyunkwan University
- Using R for Geostatistical Geospatial Modeling :Â Case Western Reserve University
- How to Visualize Data with R:Â Packt
- Build and deploy a stroke prediction model using R:Â Coursera
- Data Science with R - Capstone Project:Â IBM
- Data Analysis with Tidyverse:Â University of Colorado Boulder
- Building R Packages:Â Johns Hopkins University
- Apply Exploratory Data Analysis with R and ggplot2:Â EDUCBA
