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Big Data Dashboard for Urban Mobility Patterns

FreeVerified credential2 weeksIntermediate

Overview

What this challenge is about.

Analyze 100K trip records to build a mobility dashboard with heatmaps and trends. Practice as a data analyst and earn a verifiable certificate.

The scenario

Cities worldwide are investing in smart mobility solutions to reduce congestion, lower emissions, and improve citizen quality of life. Open data initiatives have made urban mobility datasets — including public transit schedules, bike-sharing station data, traffic sensor readings, and parking availability — freely accessible. For digital business professionals, the ability to combine these datasets into actionable dashboards is a high-demand skill that bridges data engineering and business intelligence. Lisbon, as one of Europe's leading smart city initiatives, publishes extensive open data through its Open Data Portal. The city's mobility ecosystem includes Carris (public transit), multiple bike and scooter sharing services, and a growing EV charging infrastructure.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Build an interactive data dashboard that combines at least three urban mobility datasets from Berlin's open data sources, visualizes key mobility patterns and trends, and provides actionable insights for urban planners making infrastructure investment decisions.

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

One more thing

You can put a credential on your CV by Friday.

Big Data Dashboard for Urban Mobility Patterns | Ewance Challenge