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: 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
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
Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
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: Fraud detection, Marketing Analytics, Data-Driven Marketing, Predictive Modeling, People Analytics, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Market Analysis, Loss Prevention, Predictive Analytics, Statistical Analysis, Analytics, R Programming, R (Software), Analytical Skills
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: 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
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
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: 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
Coursera
Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures
Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, R (Software), Data Science, Query Languages, Data Access, Data Manipulation, Data Analysis
In summary, here are 10 of our most popular r for data science courses
- Foundations of R Programming and Basic Data Manipulation: Packt
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
- AI Machine Learning with R & Python Projects: EDUCBA
- Data Visualization and Transformation with R: Duke University
- Apply R for Business Analytics Projects: EDUCBA
- Data Science with Python: Packt
- Python for Data Science (and Version Control with GitHub): Coursera
- Data Modeling and Prediction with R: Duke University
- Data Science for Health Research: University of Michigan
- Market Research Data Analysis and Governance with R: Coursera
