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
Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures, Application Programming Interface (API)
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
Skills you'll gain: Leaflet (Software), Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, R (Software), Interactive Data Visualization, R Programming, Data Collection, Data Storage, Cloud Services, Data Manipulation, Cloud-Based Integration, Data Wrangling, Real Time Data, Application Programming Interface (API)
Logical Operations
Skills you'll gain: R (Software), Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Computational Logic, Data Analysis Software, Data Preprocessing, Software Installation, Data Science, Development Environment, Computer Programming, Program Development, Computer Programming Tools, Software Development
Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Wrangling, Data Transformation, Data Visualization Software, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Data Analysis, Statistical Modeling, Machine Learning Methods, Regression Analysis, Statistical Software, Data-Driven Decision-Making, Statistical Programming, Machine Learning
Logical Operations
Skills you'll gain: R Programming, R (Software), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Data Import/Export, 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
Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Business Analytics, Data Analysis, Predictive Analytics, Probability & Statistics, Analytics, Analytical Skills, Statistical Modeling, Regression Analysis, Statistical Programming, Time Series Analysis and Forecasting, Case Studies, Programming Principles
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard Creation, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Application Development, Data Sharing, UI Components, User Interface (UI), Application Deployment
Skills you'll gain: R (Software), R Programming, Computational Logic, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
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: 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
Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, R (Software), Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, Statistical Visualization, R Programming, Analysis, Statistical Programming, Predictive Analytics, Statistical Modeling, Data Structures, Statistical Software, Time Series Analysis and Forecasting, Data Manipulation, Regression Analysis
In summary, here are 10 of our most popular r for data science courses
- The R Programming Environment: Johns Hopkins University
- Advanced R Programming: Johns Hopkins University
- Advanced Data Applications and Integration: Microsoft
- R Programming: Setup and Data Processing: Logical Operations
- Analyze Data Science Concepts Using R: EDUCBA
- R Programming: Data Analysis and Modeling: Logical Operations
- Analyze Data Using R for Statistical and Predictive Modeling: EDUCBA
- Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
- Introduction to R: Basic R syntax: Coursera
- R Programming and Tidyverse Capstone Project: University of Colorado Boulder
