R for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning techniques. You can build skills in exploratory data analysis, hypothesis testing, and predictive modeling. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support creating visual representations of data and performing complex data transformations. By engaging with these tools and methods, you can effectively analyze datasets and derive meaningful insights.

Universidad Nacional Autónoma de México
Skills you'll gain: R (Software), R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Software, Statistical Visualization, grep, Data Processing, Graphing, Programming Principles, Data Import/Export, Exploratory Data Analysis, Data Structures, Software Installation, Package and Software Management
★ 4.7 (8.6K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Data Wrangling, Data Transformation, Quantitative Research, Data Visualization Software, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Data Analysis
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures
Beginner · 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
★ 4.2 (49) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Cleansing, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation
★ 4.6 (116) · Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Statistical Visualization, Data Wrangling, Data Science, Package and Software Management, Exploratory Data Analysis, Python Programming
★ 4.6 (79) · Intermediate · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Processing, Data Cleansing, Data Analysis, Probability & Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
★ 4.1 (155) · Beginner · Course · 1 - 3 Months

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

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
★ 4.7 (5.9K) · Beginner · Course · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), Object Oriented Design, R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Machine Learning Methods, Scripting Languages, Statistical Machine Learning, Scripting
★ 4.2 (55) · Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Software Installation, Data Analysis Software, Data Analysis, Data Science
★ 4.3 (387) · Beginner · Guided Project · Less Than 2 Hours

Logical Operations
Skills you'll gain: Ggplot2, R Programming, Plot (Graphics), Data Visualization, Data Manipulation, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 3 Months