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.

Fundação Instituto de Administração
Skills you'll gain: Interoperability, DevOps, Information Systems Security, Cybersecurity, Cyber Attacks, Systems Integration, Application Programming Interface (API), Application Security, Cloud-Based Integration, Security Controls, Information Systems, Threat Management, Digital Transformation, Cloud Computing
★ 4.8 (15) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, Data Wrangling, Data Analysis, Exploratory Data Analysis, Java, Data Processing, Data Manipulation, Java Programming, Statistical Methods, Statistics
★ 4.5 (6) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming
★ 4.8 (10) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: C and C++, C++ (Programming Language), File I/O, Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Computer Programming, Data Structures, Memory Management, Algorithms
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, Code Reusability, GitHub, Scientific Methods, Software Documentation, Science and Research, Technical Documentation, Informatics, Software Versioning, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Software, Data Analysis Software, Debugging, Software Installation, Data Access, Simulations, Programming Principles, Data Import/Export, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Product Strategy, Prompt Engineering Tools, Generative AI, Innovation, AI literacy, AI powered creativity, New Product Development, Product Development, Responsible AI, Process Development, AI Enablement, AI Integrations, Ethical Standards And Conduct, Project Management
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Retrieval-Augmented Generation, Agentic Workflows, AI Workflows, AI Orchestration, Responsible AI, AI Security, AI Integrations, Model Deployment, Context Engineering, Context Management, Healthcare Ethics, Patient Communication
★ 2.8 (6) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, LLM Application, OpenAI API, Token Optimization, OpenAI, Anthropic Claude, Authentications, Large Language Modeling, Command-Line Interface, Key Management, Development Environment, Application Programming Interface (API), Python Programming, Virtual Environment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Email Automation, Google Cloud Platform, Unstructured Data, Cloud API, Jupyter, AI Integrations, Document Management, Real Time Data, Python Programming
★ 4.8 (6) · Beginner · Project · Less Than 2 Hours

Edureka
Skills you'll gain: Model Context Protocol, OpenAI API, Retrieval-Augmented Generation, AI Orchestration, AI Workflows, OpenAI, Model Deployment, LLM Application, Agentic Workflows, Generative AI Agents, AI Integrations, Embeddings, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Decision Intelligence, Agentic systems, Prompt Engineering, Application Programming Interface (API), Responsible AI
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Analysis
★ 4.6 (13) · Mixed · Course · 1 - 4 Weeks