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: Data Import/Export, R (Software), Scripting, R Programming, Scripting Languages, Statistical Programming, Data Structures
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Collection, Data Analysis, Probability, Statistical Software, Statistics, Statistical Analysis, Statistical Methods, Data Science, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months
Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Statistical Software, Statistical Programming, Data Manipulation
★ 4.3 (19) · Beginner · Course · 1 - 3 Months

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: 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
★ 4.8 (52) · Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Wrangling, Data Preprocessing, Tidyverse (R Package), Data Processing, R (Software), Data Management
★ 4.2 (6) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Analytics, R Programming, Scripting, Google Sheets, Email Automation, Tidyverse (R Package), Predictive Modeling, Automation, Data Manipulation, Health Technology, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Intermediate · Guided Project · Less Than 2 Hours

Sungkyunkwan University
Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management, Logistic Regression, Financial Data
★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts
★ 4.6 (10) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills 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, Data Science
Beginner · Course · 1 - 3 Months

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
★ 4.6 (31) · Intermediate · Guided Project · Less Than 2 Hours