R for Data Science Courses
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.
Popular R for Data Science Courses and Certifications
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Scripting Languages, Data Transformation
Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Statistical Visualization, Application Deployment, UI Components, Server Side, Dashboard Creation, Performance Tuning, R (Software), Dashboard, User Interface (UI), Application Lifecycle Management, Web Applications, Authentications, Application Development, R Programming, Data Management
Johns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, R (Software), GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, Test Case, Testability, R Programming, Code Reusability, Knitr, Continuous Integration, Program Development, Build Tools, Git (Version Control System), Development Testing
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, Integrated Development Environments, Data Science
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
Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
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
Johns Hopkins University
Skills you'll gain: R (Software), Object Oriented Programming (OOP), Object Oriented Design, R Programming, Debugging, Code Reusability, Functional Design, Programming Principles, Data Structures, Performance Tuning, Performance Testing
University of Colorado Boulder
Skills you'll gain: R Programming, Rmarkdown, R (Software), Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Plot (Graphics), Statistical Visualization, Data Analysis, Statistical Reporting, Data Visualization Software, Data Presentation, Data Science, Data Manipulation, Statistical Analysis, Data Wrangling, Data Cleansing, Data Integration, Communication
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
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
Coursera
Skills you'll gain: Web Scraping, R (Software), Relational Databases, Statistical Software, Data Import/Export, R Programming, Databases, Microsoft Excel
In summary, here are 10 of our most popular r for data science courses
- Arranging and Visualizing Data in R : University of Michigan
- Build and Evaluate R Shiny Data Apps: EDUCBA
- Building R Packages: Johns Hopkins University
- Visualizing Data & Communicating Results in R with RStudio: Codio
- Introduction to Probability and Data with R: Duke University
- Machine Learning with R: Build, Analyze & Predict: EDUCBA
- Machine Learning Projects in R with Caret: EDUCBA
- Advanced R Programming: Johns Hopkins University
- R Programming and Tidyverse Capstone Project: University of Colorado Boulder
- Clustering and Classification with Machine Learning in R: Packt
