R Courses
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.
Popular R Courses and Certifications
DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
Skills you'll gain: Django (Web Framework), Responsive Web Design, Cascading Style Sheets (CSS), HTML and CSS, Back-End Web Development, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), Database Management, Code Reusability, Database Theory, SQL, Database Design, Front-End Web Development, Unit Testing, MySQL, Computer Programming, Pseudocode, Communication
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Model Deployment, Restful API, Software Design Documents, Software Design, AI Integrations, Application Deployment, AI literacy, Software Architecture, Agentic Workflows, Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Java Programming
University of Michigan
Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Language, Web Design, HTML and CSS, Verification And Validation, Web Design and Development, Cloud Hosting, Web Development, Front-End Web Development, Web Content, Web Development Tools, GitHub, Semantic Web, Responsive Web Design, Integrated Development Environments, Web Servers, Servers, Cascading Style Sheets (CSS), Programming Principles
Skills you'll gain: Email Security, Cloud Computing Architecture, Cloud Services, Cloud Deployment, Generative AI, Cloud Security, Cloud Technologies, Generative AI Agents, Cloud Infrastructure, Cybersecurity, Hardening, Data Storage, Peripheral Devices, Virtualization, Computer Hardware, OSI Models, General Networking, Database Administration, Programming Principles, Computer Programming
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Software Design Documents, Software Design, AI literacy, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Security, Software Engineering, Code Review
University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Software, Probability & Statistics, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Wrangling
Princeton University
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Java, Performance Testing, Java Programming, Computational Thinking, Memory Management, Spatial Data Analysis
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
Skills you'll gain: Data Ethics, File Management, Data Security, Google Sheets, Databases, Data Access, Data Storage, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Data Import/Export, Metadata Management, Unstructured Data
University of Michigan
Skills you'll gain: C (Programming Language), Programming Principles, C and C++, C++ (Programming Language), Algorithms, Memory Management, Data Structures, Other Programming Languages, Numerical Analysis
In summary, here are 10 of our most popular r programming courses
- Supervised Machine Learning: Regression and Classification : DeepLearning.AI
- Meta Web Development Fundamentals: Meta
- Bayesian Statistics: University of California, Santa Cruz
- Generative AI for Java and Spring Developers: IBM
- Introduction to HTML5: University of Michigan
- Information Technology (IT) and Cloud Fundamentals: IBM
- Generative AI for Software Developers: IBM
- Statistics and Data Analysis with R: University of Colorado Boulder
- Algorithms, Part I: Princeton University
- Data Science: Statistics and Machine Learning: Johns Hopkins University
