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Duration 14 hours
Course Outline
Foundations of Notion and Database Logic
- An introduction to Notion blocks, pages, and workspace architecture
- Grasping properties, records, and fundamental relationships
- Core principles for designing scalable Notion databases
Constructing Relational Databases in Notion
- Establishing linked databases and defining inter-record relationships
- Leveraging rollups to present summarized information
- Selecting appropriate property types and applying schema design strategies
Developing Views and Interactive Dashboards
- Building table, kanban, calendar, gallery, and timeline perspectives
- Utilizing filters, sorting, and grouping to create insight-oriented views
- Merging linked views to assemble cohesive dashboards
Strategies for Data Import, Export, and Synchronization
- Bringing CSV files and spreadsheet data into Notion
- Employing integrations and connectors for continuous data sync
- Key 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 routine updates via Notion integrations and external tools
Designing Dashboards for Goal and Project Management
- Aligning project workflows with relational tables and views
- Building goal-tracking dashboards featuring progress indicators
- Setting up review and reporting cycles for stakeholders
Analytics and Reporting Methodologies
- Structuring metric-focused pages and summary widgets
- Exporting refined data for external analysis
- Using rollups and formulas to generate lightweight analytics
Collaboration, Access Control, and Governance
- Overseeing workspace permissions and sharing protocols
- Designing templates and governance rules for consistent usage
- Maintaining and refining databases as requirements change
Recap and Future Actions
Requirements
- Foundational knowledge of data structuring and spreadsheet applications
- Experience with standard productivity software
- Confidence in operating web-based tools
Target Audience
- Data analysts
- Business professionals
- Advanced users looking to build dashboards and databases
