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Duration 14 hours
Course Outline
Notion Fundamentals and Database Concepts
- Overview of Notion blocks, pages, and workspace architecture.
- Understanding properties, records, and foundational relations.
- Design principles for creating scalable Notion databases.
Designing Relational Databases in Notion
- Creating linked databases and defining inter-record relations.
- Leveraging rollups to display aggregated information.
- Selecting appropriate property types and schema design patterns.
Building Views and Interactive Dashboards
- Creating table, kanban, calendar, gallery, and timeline views.
- Applying filters, sorts, and groupings to generate insight-driven views.
- Combining linked views to form unified, cohesive dashboards.
Data Import, Export, and Sync Strategies
- Importing CSV files and migrating spreadsheet data into Notion.
- Utilising integrations and connectors for continuous data synchronisation.
- Best practices for maintaining data integrity during transfer processes.
Formulas, Rollups, and Automations
- Writing Notion formulas for calculated properties.
- Implementing advanced rollup patterns for metrics and KPIs.
- Automating routine updates using Notion integrations and associated tools.
Designing Dashboards for Goals and Project Tracking
- Mapping project workflows to relational tables and views.
- Creating goal-tracking dashboards with visual 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.
- Utilising rollups and formulas to create lightweight analytics solutions.
Collaboration, Permissions, and Governance
- Managing workspace permissions and sharing strategies.
- Template design and governance for consistent usage across teams.
- Maintaining and refactoring databases as business needs evolve.
Summary and Next Steps
Requirements
- A solid understanding of basic data organisation and spreadsheet management.
- Familiarity with widely used productivity tools.
- Confidence in navigating and using web-based applications.
Target Audience
- Data analysts.
- Business professionals.
- Advanced users building complex dashboards and databases.