R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

Duke University
Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Program Development, Problem Solving, Solution Design, Computational Logic
Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Dashboard Creation, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Analytical Skills, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), Git (Version Control System), GitHub, Software Versioning, Data Literacy, General Science and Research, Data Analysis, R Programming, Development Environment, Statistical Reporting, Software Installation
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, R (Software), Data Transformation, Statistical Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming Tools, Computer Programming, Python Programming, Software Installation, Data Structures, Data Science
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Data Integration, R (Software), R Programming, Exploratory Data Analysis, Statistical Programming
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
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
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Web Scraping, R (Software), Relational Databases, Statistical Software, Data Import/Export, R Programming, Databases, Microsoft Excel
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Interactive Data Visualization, Plot (Graphics), R (Software), Hypertext Markup Language (HTML), Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Statistical Programming
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
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
Mixed · Course · 1 - 4 Weeks

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
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science
Beginner · Guided Project · Less Than 2 Hours