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
Skills you'll gain: Jupyter, R (Software), R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Rmarkdown, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Computing, Git (Version Control System), Cloud Platforms, Application Programming Interface (API), Other Programming Languages, Query Languages, Python Programming
Coursera
Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures
Microsoft
Skills you'll gain: Data Storytelling, Leaflet (Software), Statistical Methods, Rmarkdown, Regression Analysis, Version Control, Web Scraping, Data Visualization, Statistics, Data Manipulation, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Programming, Probability & Statistics, Tidyverse (R Package), Data Cleansing, Data Wrangling, Software Documentation, R Programming, R (Software)
Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, R (Software), Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Wrangling, Data Visualization, Data Preprocessing, Technical Documentation, Unit Testing, Data Cleansing, Object Oriented Programming (OOP), Object Oriented Design
Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Collaborative Software, AI Workflows, Data Transformation
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)
University of Michigan
Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Statistics, Data Visualization, Data Analysis, Sampling (Statistics), Data Wrangling, Data Manipulation, Predictive Modeling, Correlation Analysis, Histogram, Biostatistics, Statistical Reporting, Statistical Analysis, Statistical Hypothesis Testing, Scripting, Statistical Software, Package and Software Management, Scripting Languages
Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Plot (Graphics), Data Manipulation, Plotly, Data Visualization, Web Scraping, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Data Wrangling, Tidyverse (R Package), Data Processing, Data Cleansing, Statistical Programming, Programming Principles, Data Structures
Skills you'll gain: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Predictive Modeling, Data Analysis, R (Software), Statistical Reporting, R Programming, Data Quality, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric
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
O.P. Jindal Global University
Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data
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
In summary, here are 10 of our most popular r for data science courses
- Tools for Data Science: IBM
- R: Code, Import, Transform Data: Coursera
- Microsoft R Programming for Everyone: Microsoft
- Mastering Software Development in R: Johns Hopkins University
- Python for Data Science (and Version Control with GitHub): Coursera
- Data Analysis with R: IBM
- Data Science for Health Research: University of Michigan
- Foundations of R Programming and Basic Data Manipulation: Packt
- Transform, Analyze, and Report Data with R: Coursera
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
