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