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Duration 14 hours
Course Outline
Notion Basics and Database Principles
- An introduction to Notion blocks, pages, and workspace organization.
- Exploring properties, records, and fundamental relationships.
- Core design principles for building scalable Notion databases.
Constructing Relational Databases in Notion
- Establishing linked databases and defining relationships.
- Leveraging rollups to display aggregated insights.
- Selecting appropriate property types and adopting schema design patterns.
Creating Views and Interactive Dashboards
- Generating table, kanban, calendar, gallery, and timeline views.
- Utilizing filters, sorts, and groupings to drive insights.
- Integrating linked views to assemble comprehensive dashboards.
Data Import, Export, and Synchronization Strategies
- Bringing in CSVs and migrating spreadsheet data into Notion.
- Utilizing integrations and connectors for continuous synchronization.
- Adhering to best practices to ensure data integrity during transfers.
Formulas, Rollups, and Automation
- Composing Notion formulas for derived properties.
- Implementing advanced rollup patterns for tracking metrics and KPIs.
- Streamlining routine updates through Notion integrations and complementary tools.
Designing Dashboards for Goal and Project Tracking
- Aligning project workflows with relational tables and views.
- Building goal-tracking dashboards featuring progress indicators.
- Establishing review and reporting workflows for stakeholders.
Analytics and Reporting Methods
- Constructing metric-centric pages and summary widgets.
- Exporting refined data sets for external analysis.
- Applying rollups and formulas to perform lightweight analytics.
Collaboration, Permissions, and Governance
- Overseeing workspace permissions and sharing protocols.
- Designing templates and governance structures for consistent usage.
- Maintaining and refactoring databases as organizational needs change.
Conclusion and Future Steps
Requirements
- A foundational understanding of basic data organization and spreadsheets.
- Experience with widely used productivity tools.
- Confidence in navigating and utilizing web-based applications.
Target Audience
- Data analysts.
- Business professionals.
- Advanced users looking to build sophisticated dashboards and databases.
