advanced

Data science and machine learning

Train models that hold up outside a notebook.

20 weeks · 18 sessions · certificate on completion

For people who already write Python and want the modelling layer. Covers the maths you genuinely need, feature engineering, the supervised and unsupervised methods used in practice, a first neural network in PyTorch, and what it takes to serve and monitor a model in production.

Included with every programme

Free AI Training & Support

Every course, career path and internship comes with hands-on AI training at no extra cost — so you leave knowing how to use the tools the industry actually works with.

Real tools, hands-onChatGPT, Copilot and the AI assistants teams actually use day to day.
Applied to your subjectUse AI on the same code, data or design work your course already covers.
Support while you learnBring your doubts to the AI sessions running alongside your regular classes.
No extra chargeIncluded for every student, in classroom batches and live online alike.

Curriculum

5 modules · 18 sessions

1The maths you actually need3 sessions

Linear algebra for machine learningFree preview

Probability and statistics refresherFree preview

The calculus behind gradient descent

2Data preparation at scale4 sessions

Feature engineering

Missing and imbalanced data

Encoding and scaling

Reproducible data pipelines

3Supervised learning4 sessions

Linear and logistic regression

Decision trees and random forests

Gradient boosting

Evaluation and cross-validation

4Unsupervised and deep learning4 sessions

Clustering and dimensionality reduction

Neural network foundations

Training your first network in PyTorch

Working with text and embeddings

5Putting models into production3 sessions

Serving a model behind an API

Monitoring drift in production

Bias, ethics and model review