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.

MathWorks
Skills you'll gain: Plot (Graphics), Data Visualization, Scientific Visualization, Statistical Visualization, Data Presentation, Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Literacy, Statistical Methods, Data Science, Datamaps, Data Processing, Data Wrangling, Matlab, Statistical Analysis, Probability & Statistics
★ 4.8 (821) · Beginner · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Spring Framework, Microservices, JUnit, Model View Controller, Restful API, Application Frameworks, Spring Boot, Software Architecture, API Gateway, Web Services, Cloud-Native Computing, Object-Relational Mapping, Transaction Processing, Data Persistence, Frontend Integration, Service Oriented Architecture, JSON, Database Management, Unit Testing, Java Programming
★ 3.9 (703) · Beginner · Specialization · 1 - 3 Months
University of Minnesota
Skills you'll gain: Taxonomy, Spreadsheet Software, Microsoft Excel, Statistical Methods, Descriptive Statistics, Computer Programming
★ 4.4 (660) · Intermediate · Course · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Programming Principles, Java Programming, Java, Computer Programming, Code Reusability, Data Structures, Object Oriented Programming (OOP), Computational Logic, Program Development, Problem Solving, Algorithms, Eclipse (Software)
★ 4.8 (435) · Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, AI Integrations, Data Literacy, Application Development, Scripting, Programming Principles, Automation, Computer Programming, Application Programming Interface (API), Package and Software Management, Data Structures
★ 4.8 (241) · Beginner · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Data Mapping, Code Reusability, Software Installation, Data Processing, Data Integration, Data Import/Export, Program Development, Data Structures, Software Documentation
★ 4.6 (548) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Embedded Software, Embedded Systems, Debugging, Data Structures, System Programming, Microarchitecture, C (Programming Language), Memory Management, Hardware Architecture, Computer Architecture, Software Design, Maintainability, System Configuration, Code Reusability, Software Architecture, Peripheral Devices
★ 4.5 (530) · Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Android Development, Mobile Development, Android Studio, Android (Operating System), Application Development, User Interface (UI), Application Design, UI Components, Java, Development Environment, Authorization (Computing), Application Lifecycle Management
★ 4.5 (686) · Mixed · Course · 1 - 3 Months

University of Manchester
Skills you'll gain: Chemistry, Physical Science, Physics, Laboratory Experience, Experimentation, Mechanics, Applied Mathematics
★ 4.7 (754) · Mixed · Course · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Electronics, Telecommunications, Algorithms, Linear Algebra, Jupyter
★ 4.5 (644) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning
★ 4.8 (722) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Analysis Software, Business Analytics, Exploratory Data Analysis, Data Cleansing, Virtual Environment, Interactive Data Visualization, Data Access, Statistical Reporting, Data Transformation, Statistical Programming
★ 4.7 (890) · Beginner · Course · 1 - 4 Weeks