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.

Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Web Scraping, Interactive Data Visualization, Data Visualization Software, Tidyverse (R Package), Data Cleansing, Data Transformation, Statistical Programming, Programming Principles, Data Structures
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Wrangling, Data Transformation, Software Installation, Programming Principles, Software Documentation
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data-Driven Decision-Making, Statistical Modeling, Predictive Modeling, Regression Analysis, R Programming, Data Analysis, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis
Beginner · Course · 1 - 4 Weeks

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

Johns Hopkins University
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Integrated Development Environments, Programming Principles, Data Manipulation, Data Structures, Software Documentation, Software Design Patterns, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)
Beginner · 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, Technical Documentation, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Debugging
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Statistical Modeling, Web Scraping, Ggplot2, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, Statistical Methods, R Programming, Data Science, Data Wrangling, Data Cleansing, Version Control
Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Analytical Skills, Case Studies
Intermediate · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Image Analysis, Classification And Regression Tree (CART), PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months