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Duration 14 hours
Course Outline
Notion Basics and Database Principles
- Introduction to Notion blocks, pages, and workspace management
- Grasping the concepts of properties, records, and fundamental relations
- Key design principles for building scalable Notion databases
Structuring Relational Databases in Notion
- Establishing linked databases and defining relational connections
- Leveraging rollups to present aggregated insights
- Selecting appropriate property types and schema design patterns
Constructing Views and Interactive Dashboards
- Developing table, kanban, calendar, gallery, and timeline views
- Utilizing filters, sorting, and grouping to create insight-focused views
- Integrating linked views to assemble cohesive dashboards
Data Import, Export, and Synchronization Strategies
- Importing CSV files and migrating spreadsheet data into Notion
- Employing integrations and connectors for continuous synchronization
- Best practices for ensuring data integrity during migration
Formulas, Rollups, and Automation
- Creating Notion formulas for computed properties
- Advanced rollup techniques for tracking metrics and KPIs
- Automating regular updates using Notion integrations and tools
Creating Dashboards for Objectives and Project Monitoring
- Aligning project workflows with relational tables and views
- Building goal-tracking dashboards featuring progress indicators
- Setting up review and reporting workflows for stakeholders
Analytics and Reporting Methods
- Designing metric-centric pages and summary tiles
- Exporting selected data for external analysis
- Generating lightweight analytics using rollups and formulas
Collaboration, Permissions, and Governance
- Overseeing workspace permissions and sharing protocols
- Designing templates and governance structures for consistent usage
- Maintaining and refining databases as requirements change
Conclusion and Recommended Next Steps
Requirements
- Basic knowledge of data organization and spreadsheets
- Experience with standard productivity tools
- Confidence in using web-based applications
Target Audience
- Data analysts
- Business professionals
- Advanced users looking to develop dashboards and databases
