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.

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Fraud detection, Marketing Analytics, Data-Driven Marketing, Predictive Modeling, People Analytics, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Marketing Strategies, Loss Prevention, Predictive Analytics, Statistical Analysis, Analytics, R Programming, R (Software), Analytical Skills
Beginner · Specialization · 1 - 3 Months

Imperial College London
Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Logistic Regression, Probability & Statistics, Statistical Modeling, Statistical Hypothesis Testing, Predictive Modeling, Descriptive Statistics, Model Evaluation, Public Health
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Rmarkdown, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis Software, Statistical Reporting, Data Analysis, Data Validation, Data Transformation, Code Reusability, Software Installation, Programming Principles, Aesthetics
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization Software, Statistical Visualization, Heat Maps, R Programming, Data Wrangling, Tidyverse (R Package), Graphics Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Software, Data Analysis Software, Debugging, Software Installation, Data Access, Simulations, Programming Principles, Data Import/Export, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, R (Software), Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Wrangling, Data Processing, File Management, Software Installation
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: R (Software), R Programming, Statistical Programming, Statistical Software, Statistical Analysis, Statistical Methods, Debugging, File I/O, Data Analysis, Simulations, Programming Principles, Data Import/Export, Data Processing, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning
Beginner · Specialization · 1 - 3 Months
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Scripting Languages, Data Transformation
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Exploratory Data Analysis, R (Software), Ggplot2, Statistical Reporting, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Plot (Graphics), Statistics, Statistical Visualization, Data Wrangling, Data Science, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Statistical Programming
Beginner · Course · 1 - 4 Weeks