R Courses
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.
Popular R Courses and Certifications
Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), Git (Version Control System), GitHub, General Science and Research, Data Analysis, R Programming, Software Installation
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Data Transformation, Data Import/Export
Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Big Data, Data Integration, Data Processing, Data Analysis
Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Management
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Model Optimization, Model Training, Model Evaluation
Skills you'll gain: Ggplot2, Plot (Graphics), Tidyverse (R Package), Data Visualization, R Programming, Data Visualization Software, Data Manipulation, R (Software)
Coursera
Skills you'll gain: Ggplot2, Plot (Graphics), Data Cleansing, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management
University of Pennsylvania
Skills you'll gain: Financial Statements, Financial Statement Analysis, Return On Investment, Accrual Accounting, Financial Accounting, Capital Budgeting, Financial Reporting, Accounting, Finance, Inventory Accounting, Balance Sheet, Financial Acumen, Income Statement, Financial Forecasting, Equities, General Finance, Cash Flows, Corporate Finance, Forecasting, Financial Analysis
Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, CI/CD, Object-Relational Mapping, OpenShift, Istio, Kubernetes, Cloud-Native Computing, Node.JS, Cloud Infrastructure, Git (Version Control System), HTML and CSS, Server Side, Javascript, Front-End Web Development, Cloud Computing, Data Ethics, Python Programming, Software Development
University of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Graph Theory, Code Reusability, Memory Management, Computational Logic, Artificial Intelligence
University of Pennsylvania
Skills you'll gain: Financial Statements, Operations Management, Customer Analysis, Operational Efficiency, Financial Statement Analysis, Operational Excellence, Return On Investment, Accrual Accounting, Human Capital, Process Improvement and Optimization, Process Analysis, Branding, Financial Accounting, Marketing, People Management, Capital Budgeting, Finance, Peer Review, Project Design, Corporate Finance
AI Business School
Skills you'll gain: Prompt Engineering, Agentic Workflows, Prompt Engineering Tools, Prompt Patterns, Generative AI Agents, Generative AI, AI literacy, No-Code Development, Multimodal Prompts, AI powered creativity, Research and Design, AI Workflows, Responsible AI, Artificial Intelligence, LLM Application, Innovation, Productivity, Agentic systems, Ideation, Operational Efficiency
How to choose the right R course
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.
