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.

Skills you'll gain: Spring Boot, Hibernate (Java), Object-Relational Mapping, GitHub, Git (Version Control System), Java, Software Documentation, JUnit, Restful API, Application Performance Management, API Design, Model View Controller, Postman API Platform, User Accounts
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Scrimba
Skills you'll gain: Responsive Web Design, LinkedIn, Cascading Style Sheets (CSS), Front-End Web Development, HTML and CSS, Web Design and Development, Professional Development, Web Development, Javascript, GitHub
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Django (Web Framework), Restful API, Object-Relational Mapping, Bootstrap (Front-End Framework), Application Deployment, HTML and CSS, Database Management, Web Development, User Accounts, Responsive Web Design, Back-End Web Development, Python Programming
Intermediate · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Databases, Big Data, SQL, Data Analysis, Data Science, Statistical Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Frontend Performance, React.js, JavaScript Frameworks, Front-End Web Development, HTML and CSS, Web Development, Web Design, Cascading Style Sheets (CSS), Microsoft Visual Studio
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Relational Databases, Databases, Data Visualization Software, Web Scraping, Data Science, Scatter Plots, Data Manipulation, SQL, Data Processing, JSON, Application Programming Interface (API), Data Import/Export, Python Programming, Extensible Markup Language (XML), Hypertext Markup Language (HTML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Authentications, OAuth, API Testing, Restful API, Application Programming Interface (API), JSON, Test Automation, Data Validation, Extensible Markup Language (XML), Mockups, Test Tools, Simple Object Access Protocol (SOAP), Virtualization, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Web Services, Restful API, Apache Maven, Spring Boot, Spring Framework, Gradle, Simple Object Access Protocol (SOAP), Java Platform Enterprise Edition (J2EE), Java, API Design, Application Frameworks, Secure Coding, Object-Relational Mapping, Data Persistence, JSON, Extensible Markup Language (XML)
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Blockchain, Web Development Tools, Go (Programming Language), Software Development Tools, Application Development, Computer Programming Tools, Development Environment, Software Development, Business Logic, Program Development, Digital Assets, Transaction Processing, FinTech, Virtual Machines, Distributed Computing, Cryptography, Emerging Technologies, Encryption, Business Analysis, Market Dynamics
Intermediate · Specialization · 1 - 3 Months

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks