Advanced learning path
Build, validate and apply predictive models — and communicate them responsibly.
Take them in order, or skip those you already know.
Learn Python from zero and use pandas to analyse real datasets.
Course book available
Prerequisites: No programming experience required
The full data science workflow — question, data, analysis, model and communication — in one course.
Prerequisites: Basic Python or completion of Python Programming for Data
Systematically explore datasets to find patterns, problems and hypotheses worth testing.
Prerequisites: Python or R basics
Build, tune and evaluate supervised and unsupervised models with scikit-learn.
Prerequisites: Data Science Foundations or equivalent
Build predictive models that support real decisions — forecasting, risk scoring and targeting.
Prerequisites: Machine Learning or equivalent
