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
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Status: Free TrialSkills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
Status: Free TrialDuke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Data Presentation, SQL, Databases, Dashboard, Data Manipulation, Web Scraping, R Programming
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Advanced Analytics, R Programming, Statistical Methods, Data Validation, Verification And Validation, Plot (Graphics), Exploratory Data Analysis, Technical Communication
Status: NewStatus: Free TrialSkills you'll gain: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Data Analysis, Data Cleansing, Statistical Reporting, R Programming, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric, Automation
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Data Transformation, Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Statistical Programming, Exploratory Data Analysis, Data Structures
Status: Free TrialJohns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Status: NewStatus: Free TrialSkills you'll gain: Quantitative Research, Scatter Plots, R Programming, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Statistical Analysis, Data Analysis, Data Visualization, Statistics, Exploratory Data Analysis, Data Import/Export, Data Structures
Status: NewStatus: Free TrialSkills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning
In summary, here are 10 of our most popular r for data science courses
- Data Visualization & Dashboarding with R: Johns Hopkins University
- Introduction to R Programming for Data Science: IBM
- Data Science: Foundations using R: Johns Hopkins University
- Data Analysis with R: Duke University
- R Programming: Johns Hopkins University
- Applied Data Science with R: IBM
- Predict and Validate Regression Models in R: Coursera
- Transform, Analyze, and Report Data with R: Coursera
- R: Code, Import, Transform Data: Coursera
- Data Science: Statistics and Machine Learning: Johns Hopkins University
