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: R (Software), R Programming, Statistical Hypothesis Testing, Plot (Graphics), Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Statistical Visualization, Data Science, Tidyverse (R Package), Statistical Methods, Statistical Modeling, Data Analysis, Data-oriented programming, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis
University of Michigan
Skills you'll gain: Data Visualization, Statistical Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, R (Software), Policy Analysis, Public Policies, R Programming, Statistical Programming, Analytics, Data Transformation, Programming Principles, Data Manipulation
Duke University
Skills you'll gain: Exploratory Data Analysis, R (Software), Ggplot2, Statistical Reporting, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Plot (Graphics), Statistics, Statistical Visualization, Data Wrangling, Data Science, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Statistical Programming
Skills you'll gain: Tidyverse (R Package), Rmarkdown, Predictive Modeling, Model Evaluation, File Management, R (Software), Data Governance, Responsible AI, Data Manipulation, R Programming, Research Reports, Metadata Management, Data Quality, Predictive Analytics, Data Wrangling, Data Ethics, Business Research, Statistical Reporting, Market Research, Statistical Analysis
Skills you'll gain: Data Science, Statistical Inference, Machine Learning Methods, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistical Methods, Statistics, Regression Analysis, Applied Machine Learning, Interactive Data Visualization, Apache Hadoop, Big Data, Machine Learning Algorithms, Data Analysis, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
LearnKartS
Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization, Seaborn, Pseudocode, Data Manipulation, Data Visualization Software, Problem Solving, Data Analysis, Data Wrangling, AI Enablement, AI literacy, Programming Principles, Data Science, Python Programming, Generative AI, Computer Programming
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)
Skills you'll gain: Web Scraping, Rmarkdown, Leaflet (Software), Spatial Data Analysis, Cloud Storage, Geospatial Mapping, Interactive Data Visualization, Geospatial Information and Technology, Geographic Information Systems, Data Storage, Microsoft Azure, Data Collection, R Programming, Data Ethics, R (Software), AI Workflows, Statistical Reporting, Cloud Management, Data Wrangling, Data Analysis
Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling
Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis
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
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis
In summary, here are 10 of our most popular r for data science courses
- R Programming for Statistics and Data Science: Packt
- Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
- Data Visualization and Transformation with R: Duke University
- Market Research Data Analysis and Governance with R: Coursera
- Mastering Python for Data Science: Packt
- Python for Data Science with AI: LearnKartS
- Modern Regression Analysis in R: University of Colorado Boulder
- Advanced Data Applications and Integration: Microsoft
- Data Science with Python: Packt
- Data Analysis in R: Predictive Analysis with Regression: Coursera
