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
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
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
University of Pennsylvania
Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statement Analysis, Financial Statements, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Income Statement, Risk Analysis, Spreadsheet Software, Financial Forecasting, Excel Formulas, Risk Modeling, Microsoft Excel, Corporate Finance
Skills you'll gain: Git (Version Control System), Data Visualization, Data Presentation, Generative AI, Version Control, Matplotlib, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), R Programming, Tidyverse (R Package), Ggplot2, Jupyter, Python Programming, Microsoft Visual Studio, Statistical Visualization, Data Storytelling, GitHub, NumPy, Machine Learning Methods
University of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Unit Testing, C (Programming Language), Algorithms, Graph Theory, Software Testing, Code Reusability, Memory Management, Computational Logic, Artificial Intelligence
Duke University
Skills you'll gain: Physiology, Respiration, Anatomy, Biology, Blood Pressure
DeepLearning.AI
Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Web Scraping, Interactive Data Visualization, Data Cleansing, Programming Principles, Data Structures
AI Business School
Skills you'll gain: Agentic Workflows, Prompt Engineering, AI Workflows, Agentic systems, Generative AI Agents, AI Enablement, Automation, No-Code Development, Digital Transformation, AI literacy, Feasibility Studies, Research and Design, Artificial Intelligence, Productivity, Risk Analysis, Research Design, Product Development, Initiative and Leadership, Product Design, Cost Benefit Analysis
Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, Bash (Scripting Language), Open Web Application Security Project (OWASP), Package and Software Management, Object-Relational Mapping, OpenShift, Istio, Kubernetes, Cloud-Native Computing, Software Architecture, Linux Commands, Application Deployment, Django (Web Framework), Shell Script, Git (Version Control System), Grafana, Microservices, Python Programming
Skills you'll gain: Jupyter, R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Data Science, Cloud Hosting, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Development Environment, Query Languages, Python Programming
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Analysis, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
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.
