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.

Ball State University
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), R (Software), Data Science, R Programming, Statistical Methods, General Science and Research, Data Structures, Data Analysis, Statistical Programming, Responsible AI, Information Privacy, Informed Consent, Social Impact, Ethical Standards And Conduct, Algorithms, Big Data
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R (Software), R Programming, Scatter Plots, Data Collection, Graphing, Data Analysis, Data Manipulation, Data Access, Data Import/Export, Regression Analysis, Data Structures, Development Environment, Software Installation
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Geospatial Mapping, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, R (Software), Statistical Programming, Data Wrangling, Simulations, Package and Software Management
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Software Documentation, Leaflet (Software), Data Wrangling, Data Preprocessing, Technical Documentation, Data Cleansing, Package and Software Management, Application Deployment, R (Software), Data Visualization Software, Program Development, Code Review, Plot (Graphics), Ggplot2, R Programming, GitHub, Continuous Integration, Interactive Data Visualization, Software Technical Review, Software Testing
Intermediate · 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
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Data Import/Export, R (Software), Data Wrangling, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Programming Principles
Beginner · Course · 1 - 3 Months

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: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export
Mixed · Course · 1 - 4 Weeks