R courses focus on statistical computing and data analysis using the R programming language. You'll learn about data manipulation, visualization, and statistical modeling, along with techniques for exploring and interpreting complex datasets. Key topics may include regression analysis, time series analysis, and using packages like ggplot2 and dplyr for enhanced data handling.

Microsoft
Skills you'll gain: Logistic Regression, Web Scraping, Data Visualization, Rmarkdown, Data Presentation, Data Storytelling, Version Control, Leaflet (Software), Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Analysis, Data Cleansing, Probability & Statistics, Statistical Software, Data Manipulation, R Programming, Data Preprocessing, R (Software), Statistical Reporting
★ 4.2 (9) · Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Knitr, Machine Learning, GitHub
★ 4.5 (51K) · Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), R Programming, Statistical Methods, Public Policies, Data Visualization Software, Statistical Hypothesis Testing, Analytical Skills
★ 4.6 (129) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Ggplot2, Data Visualization Software, Data 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, Histogram, Data Science, Data Analysis, UI Components
★ 4.6 (276) · Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), Interactive Data Visualization, SQL, Data Manipulation, Web Scraping, R Programming
★ 4.5 (1.3K) · Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Rmarkdown, Ggplot2, R (Software), Data Visualization, Tidyverse (R Package), R Programming, Data Manipulation, Data Analysis, Software Installation, Programming Principles, Aesthetics
★ 4.2 (49) · Beginner · Course · 1 - 4 Weeks

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 Visualization, Data Preprocessing, Unit Testing, Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), Debugging
★ 4.2 (1.5K) · Beginner · Specialization · 3 - 6 Months

Logical Operations
Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, 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
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, Business Analysis, Model Deployment, Model Evaluation, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Big Data, Data Analysis Software, Computer Programming Tools, Cloud Computing, Python Programming
★ 4.6 (102K) · Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
★ 4.7 (5.9K) · Beginner · Course · 1 - 3 Months

Skills 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, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms
★ 4.8 (8) · Beginner · Specialization · 3 - 6 Months

AI Business School
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, AI literacy, Multimodal Prompts, Generative AI, AI Enablement, AI Personalization, Artificial Intelligence, AI powered creativity, AI Workflows, Solution Design, Responsible AI, Research and Design, Ideation, Digital Transformation, Business Research, Design Research, Product Development
Intermediate · Course · 1 - 4 Weeks
Start with what you want to do with R. If you want to use R for statistical analysis, look for courses focusing on statistical modeling, hypothesis testing, and data visualization techniques. If you're interested in R for machine learning applications, choose courses that cover machine learning algorithms, data preprocessing, and model evaluation in R.