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.

Coursera
Skills you'll gain: R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
Beginner · Course · 1 - 4 Weeks

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

Universidad Nacional Autónoma de México
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Unit Testing, Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), Debugging
Beginner · Specialization · 3 - 6 Months

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

Skills you'll gain: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Development Environment, Descriptive Statistics, Debugging
Beginner · Course · 1 - 3 Months

Skills you'll gain: Ggplot2, Model Evaluation, Data Visualization, Regression Analysis, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Portfolio Risk, Financial Market, Risk Management, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Estimation, Statistical Modeling, Simulation and Simulation Software
Intermediate · Course · 1 - 4 Weeks