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, Dashboard Creation, Scatter Plots, Plot (Graphics), Dashboard, R (Software), Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Spatial Analysis, Geospatial Information and Technology, Data Science, Data Analysis
Status: Free TrialJohns Hopkins University
Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Methods, Data Analysis, Debugging, Simulations, Program Development, Programming Principles, Software Installation, Data Structures, Performance Tuning, Data Import/Export
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning
Status: Free TrialSkills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Debugging
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 & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, R Programming, Statistical Modeling, Data Visualization
Status: Free TrialSkills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), SQL, R (Software), Data Manipulation, Web Scraping
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis
Status: NewSkills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Status: Free TrialSkills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures
Status: NewStatus: Free TrialLogical Operations
Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Regression Analysis, Statistical Visualization, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms
Status: Free TrialSkills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Graphing, Pandas (Python Package), Data Capture, Data Science, Data Wrangling, Jupyter, Data Manipulation, Python Programming, Data Collection
In summary, here are 10 of our most popular r for data science courses
- Data Visualization & Dashboarding with R: Johns Hopkins University
- R Programming: Johns Hopkins University
- Data Science: Foundations using R: Johns Hopkins University
- Introduction to R Programming for Data Science: IBM
- Data Analysis with R: Duke University
- Applied Data Science with R: IBM
- Data Visualization with R: IBM
- Machine Learning with R: Packt
- R Ultimate 2024 - R for Data Science and Machine Learning: Packt
- R: Code, Import, Transform Data: Coursera
