Statistics Courses and Certifications

Start with Khan Academy and Seeing Theory for intuition, then work through MIT 18.05 or Think Stats, and practise with R or Python. For machine learning, add An Introduction to Statistical Learning.

No single standard one exists. Credentials include course certificates, SAS certifications, Six Sigma belts from ASQ, actuarial exams and professional accreditation from societies such as the American Statistical Association and the Royal Statistical Society. Check each body's page for current details.

R is strong in statistics and academic work, and Python is more common in industry and machine learning. Both have free books and tutorials listed here.

Statistics focuses on inference, uncertainty and experimental design. Data science adds programming, data engineering and machine learning. The Data Science Courses and Certifications page covers the wider path.

This guide focuses on probability, inference, modelling and statistical software. The Mathematics Courses and Certifications page covers algebra, calculus, linear algebra and proofs.

Links were checked on 2 November 2026. Course catalogues and exam details change often, so confirm details on each provider's own page. Descriptions summarise each provider's pages and are not rankings. Sites that block automated checks, such as ASQ, are kept and may need a manual click.