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Course Outline
Notion Fundamentals and Database Concepts
- Overview of Notion blocks, pages, and workspaces.
- Understanding properties, records, and basic relations.
- Design principles for building scalable Notion databases.
Designing Relational Databases in Notion
- Creating linked databases and defining relations.
- Using rollups to surface aggregated information.
- Choosing property types and schema design patterns.
Building Views and Interactive Dashboards
- Creating tables, Kanban, calendar, gallery, and timeline views.
- Applying filters, sorts, and groupings for insight-driven views.
- Combining linked views to form unified dashboards.
Data Import, Export and Sync Strategies
- Importing CSVs and migrating spreadsheets into Notion.
- Using integrations and connectors for ongoing syncs.
- Best practices for preserving data integrity during transfers.
Formulas, Rollups and Automations
- Writing Notion formulas for calculated properties.
- Advanced rollup patterns for metrics and KPIs.
- Automating routine updates with Notion integrations and tools.
Designing Dashboards for Goals and Project Tracking
- Mapping project workflows to relational tables and views.
- Creating goal-tracking dashboards with progress indicators.
- Implementing review and reporting workflows for stakeholders.
Analytics and Reporting Techniques
- Designing metric-driven pages and summary tiles.
- Exporting curated data for external analysis.
- Using rollups and formulas to create lightweight analytics.
Collaboration, Permissions and Governance
- Managing workspace permissions and sharing strategies.
- Template design and governance for consistent usage.
- Maintaining and refactoring databases as needs evolve.
Summary and Next Steps
Requirements
- A solid understanding of basic data organization and spreadsheet functionality.
- Familiarity with standard productivity tools.
- Comfort with navigating and using web-based applications.
Target Audience
- Data analysts.
- Business professionals.
- Power users focused on creating dashboards and databases.
14 Hours
