Interactive notebooks

Lab 1

Python Fundamentals

Learn Python basics through satellite constellation telemetry data

Lab 2

Databases and SQL

Query a city transport database to uncover ridership patterns and service issues

Lab 3

Combining and Preparing Data

Merge, clean, and transform supply chain data from multiple global sources

Lab 4

Descriptive Statistics

Analyse emergency department data to identify bottlenecks and improve patient flow

Lab 5

Data Visualisation

Build effective charts and a dashboard using global climate and energy data

Lab 6

Statistical Inference

Analyse a clinical trial dataset to draw conclusions about drug efficacy

Lab 7

Regression and Forecasting

Build and evaluate regression models to understand urban property prices

Lab 8

Time Series and Trend Analysis

Analyse and forecast renewable energy generation for grid planning

Lab 9

Introduction to Machine Learning

Build fraud detection and customer segmentation models for a retail bank

Pandas Fundamentals II

Practise with more advanced Pandas features.

Lab 1

Python Foundations

Learn Python fundamentals through NASA Mars rover telemetry data

Lab 2

SQL for Data Engineering

Master SQL querying with a music streaming database

Lab 3

Data Modelling

Design robust data models for an NHS hospital trust

Lab 4

Data Formats

Work with CSV, JSON, Parquet, and specialist data formats using global climate data

Lab 5

ETL Pipelines

Build extract-transform-load pipelines for an e-commerce marketplace

Lab 6

Data Quality

Build bulletproof data validation for a fintech startup

Lab 7

LLM Data Engineering

Prepare data for AI-powered search at The British Library

Lab 8

Capstone Projects

Apply everything you have learned to real-world data engineering challenges

Lab 1

Object Detection for Autonomous Vehicles

Evaluate a pretrained object detection model on dashcam imagery

Lab 2

Climate Data Analysis

Explore historical climate data and build your first regression model

Lab 3

Breast Cancer Detection

Build a binary classifier and learn why recall matters in medical screening

Lab 4

Fraud Detection

Build a classifier for heavily imbalanced transaction data and learn why precision matters

Lab 5

Toxic Content Detection

Classify text comments using NLP techniques and balance precision and recall with F1

Lab 6

National Energy Demand Forecasting

Forecast power demand with time series data, mixed features, and gradient boosting

Lab 7

Drug Interaction Prediction

Compare multiple models with experimental rigour on complex pharmaceutical data

Lab 8

Credit Scoring Model Operations

Inherit, monitor, evaluate, and maintain a deployed credit scoring model

AI6 10.1.3 Companion: Train a Neural Network on MNIST

Build a neural network from scratch in NumPy, then compare it with scikit-learn's MLPClassifier on the classic handwritten-digit task.

AI6 6.2 Companion: Optimisation in Practice

De-mystify the concepts around validation, loss measurement and convergence.

AI6 6.4 Statistical Analysis: TeaTime Tycoon

Hands-on statistics practice: Welch's t-test, effect size, and permutation testing using app review data.

Build Your First Predictor

Use supervised learning to train a binary classification model

Data Cleaning for Robust ML Features

Companion Notebook for your Module 8.1 e-Learning.

The Fault That Wasn't Found (From Metrics to Decisions)

Evaluate and select the best model and learn to justify your decision.