Statistics with R courses can help you learn data visualization, hypothesis testing, regression analysis, and statistical modeling. You can build skills in interpreting data sets, conducting experiments, and making data-driven decisions. Many courses introduce R programming, which is widely used for statistical analysis and data manipulation, along with packages like ggplot2 for visualization and dplyr for data wrangling.

Johns Hopkins University
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Microsoft Teams, Microsoft 365, Document Management, File Management, Collaborative Software, Team Management, Virtual Teams, Calendar Management, Microsoft Excel, Setting Appointments, People Management, Project Management
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Core Data (Software), Restful API, Apple iOS, iOS Development, JSON, Swift Programming, Application Programming Interface (API), Apple Xcode, Mobile Development, Application Development, Data Modeling, Authentications, Data Management, Data Storage, Network Protocols
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Customer Relationship Management, Customer Relationship Management (CRM) Software, Customer Data Management, Customer Analysis, Organizational Strategy, Marketing Automation, Case Studies, Market Analysis, Analysis, Business Strategy, Spatial Data Analysis, Automation, Auditing, Business Metrics
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Target Audience, Social Media Marketing, Social Media Campaigns, Online Advertising, Social Media, Web Analytics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Development, Systems Development, Python Programming, Supervised Learning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Self-Awareness, Personal Development, Emotional Intelligence, Leadership Development, Productivity, Time Management, Cognitive flexibility, Decision Making, Empathy, Curiosity, Adaptability, Psychology
Build toward a degree
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Design Thinking, Business Modeling, Entrepreneurship, Value Propositions, New Product Development, Market Opportunities, Gap Analysis, Innovation, Technology Strategies, Strategic Thinking, New Business Development, Engineering Management, Market Analysis, Business Strategies, Competitive Analysis, Sustainable Business, Engineering
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Artificial Neural Networks, Text Mining, Deep Learning, Tensorflow, Feature Engineering, Performance Testing, Machine Learning Methods, Data Processing, Data Transformation, Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation
Beginner · Guided Project · Less Than 2 Hours