Urban Data Analytics

About this course

Turn urban mobility, energy, environmental and service data into defensible evidence. Identify bias, analyse spatial and temporal patterns, protect privacy, and communicate indicators that support decisions.

This practitioner course is part of the Smart Cities, Digital Twins & Urban Systems school. Delivery: Self-Paced / Instructor-Led. Estimated study time: 16 h.

Course curriculum

• Module 1 — Urban Data and Its Biases
• Module 2 — Mobility Analytics
• Module 3 — Energy and Buildings
• Module 4 — Environment
• Module 5 — Services and Access
• Module 6 — Spatial and Temporal Patterns
• Module 7 — Privacy-Preserving Analytics
• Module 8 — Indicators and Dashboards People Act On

Applied learning

• Case Study — The Footfall Counters That "Proved" the High Street Was Dying
• Lab 1 — Mobility Patterns: the Fair and the Closure
• Lab 2 — Building Energy: Smart Meters, Weather and the Feeder
• Lab 3 — An Equity Audit of Access to Services
• Capstone — An Urban Analytics Evidence Pack for One Decision

Who this course is for

Engineer / Architect; Government Professional

Prerequisites

NE-DT-201

Course details

• Course code: NE-DT-203
• Level: Practitioner
• Estimated duration: 16 h
• Delivery: Self-Paced / Instructor-Led

Includes online course lessons and practice activities. Course scenarios use simulated data. Course materials are in pilot review.