R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Science, Statistics, Data Analysis, Statistical Analysis, Statistical Software, Descriptive Statistics, Quality Improvement, Process Engineering
★ 4.5 (54) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, AI Integrations, Model Evaluation, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming, Design Thinking
★ 4.5 (62) · Advanced · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Objective-C (Programming Language), Mobile Development, Application Development, Application Servers, Object Oriented Programming (OOP), Data Structures
★ 3.8 (79) · Mixed · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Advanced Analytics, Financial Data, Financial Forecasting, Financial Analysis, Risk Modeling, Financial Modeling, Analytics, Predictive Analytics, Time Series Analysis and Forecasting, Statistical Analysis, Trend Analysis, Risk Analysis, Market Data, Predictive Modeling, Risk Management, Data Transformation, Applied Machine Learning, Machine Learning Methods, Descriptive Analytics, Statistical Methods
★ 4.6 (108) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Methods, Probability & Statistics, Statistics, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

MathWorks
Skills you'll gain: Image Analysis, Computer Vision, Matlab, Anomaly Detection, Geospatial Information and Technology, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Algorithms
★ 4.6 (60) · Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Graph Theory, Data Structures, .NET Framework, Microsoft Copilot, Algorithms, Back-End Web Development, Performance Tuning, Theoretical Computer Science, Scalability
★ 4.6 (44) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Digital Signal Processing, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Mathematical Software, Scientific Visualization, Algorithms
★ 4.8 (58) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Predictive Modeling, Data Analysis, R (Software), Statistical Reporting, R Programming, Data Quality, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning
★ 4.5 (95) · Advanced · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming
★ 3.6 (60) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing
★ 3.7 (63) · Beginner · Course · 1 - 4 Weeks