Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Skills you'll gain: Microsoft PowerPoint, Presentations, Data Visualization, Sales Presentation, Data Visualization Software, Interactive Data Visualization, Data Storytelling, Drive Engagement, Business Process
Beginner · Guided Project · Less Than 2 Hours

University of London
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Debugging, Model Evaluation, Test Data, Data Validation, Algorithms, Statistical Programming, Data Structures
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Water Quality, Laboratory Testing, Chemistry, Product Testing, Chemical Engineering, Biochemistry, Process Control, Analytical Testing, Materials science, Physics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Data Integration, Power BI, Data Maintenance, Database Management, Microsoft SQL Servers, Relational Databases, Databases, Application Programming Interface (API), Dashboard, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Security, Systems Integration, Role-Based Access Control (RBAC), Auditing, Real Time Data, Data Encryption Standard
Beginner · Course · 1 - 4 Weeks

Erasmus University Rotterdam
Skills you'll gain: Microsoft Excel, Excel Formulas, Data Modeling, Verification And Validation, Financial Modeling, Business Modeling, Spreadsheet Software, Technical Documentation, Product Testing, Data Validation, Data Integrity, Data Management, Organizational Skills
Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Analysis, Finite Element Methods, Mathematical Software, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Simulation and Simulation Software, Differential Equations, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Google Cloud Platform, Cybersecurity, Cloud Security, Artificial Intelligence, Technical Communication
Beginner · Course · 1 - 4 Weeks

École normale supérieure
Skills you'll gain: Sustainable Development, Economic Development, Environmental Science, Energy and Utilities, Governance, Environment, Sustainability Reporting, Climate Change Mitigation, Climate Change Adaptation, Environmental Policy, Finance, Advocacy, Economics, Lobbying, Public Policies
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Node.JS, Scalability, Authentications, JSON, Authorization (Computing), Web Development Tools, Web Applications, Web Development, Server Side, Back-End Web Development, Application Frameworks, Javascript, Restful API, Development Environment, Operating Systems, Email Automation, Microsoft Visual Studio
Intermediate · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: International Relations, Sustainable Development, Governance, Socioeconomics, Environment, Economic Development, Natural Resource Management, Environmental Policy, Climate Change Adaptation, Oil and Gas, World History, Environmental Science, Energy and Utilities
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Generative Adversarial Networks (GANs), Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Preprocessing, Data Synthesis, Data Validation, Responsible AI, Natural Language Processing
Beginner · Course · 1 - 4 Weeks