📊 Data Learning Centre
Nine structured learning paths to build your data literacy from the ground up.
Data 101
The foundation of data literacy. Learn what data is, how it's structured, the data lifecycle, quality fundamentals, standards, and ethics.
Start Path →Open Data 101
Understand what open data is, explore Canadian federal, provincial, and municipal sources, and learn how to use open data responsibly.
Start Path →Data Cleaning 101
Learn why data gets messy and how to fix it. Covers missing values, duplicates, formatting, address validation, and building a quality process.
Start Path →GIS 101
Geographic Information Systems made simple. Coordinates, projections, geocoding, spatial analysis, GeoJSON, and shapefiles explained.
Start Path →Privacy 101
Personal information, consent, data minimization, retention, privacy by design, and PIPEDA basics for Canadians.
Start Path →Data Governance 101
Policies, ownership, stewardship, data quality programs, risk management, and compliance concepts for managing data responsibly.
Start Path →Metadata 101
What metadata is, why it matters, data dictionaries, classification, cataloguing, and making data discoverable and searchable.
Start Path →File Management 101
Organize, name, store, find, share, and retain files effectively. Practical habits for individuals, teams, and organizations.
Start Path →Data Best Practices 101
The core habits that make data reliable, usable, and trustworthy — purpose, minimization, quality, documentation, protection, and review.
Start Path →