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Duration 14 hours
Course Outline
Notion Basics and Database Principles
- An introduction to Notion blocks, pages, and workspace structures.
- Grasping the concepts of properties, records, and fundamental relations.
- Key principles for designing scalable Notion databases.
Constructing Relational Databases in Notion
- Establishing linked databases and defining relational structures.
- Leveraging rollups to display aggregated data points.
- Selecting appropriate property types and schema design patterns.
Creating Views and Interactive Dashboards
- Setting up table, kanban, calendar, gallery, and timeline views.
- Utilizing filters, sorting, and grouping to create insight-focused views.
- Merging linked views to assemble cohesive dashboards.
Strategies for Data Import, Export, and Synchronization
- Importing CSV files and migrating spreadsheet data into Notion.
- Employing integrations and connectors for continuous data synchronization.
- Ensuring data integrity is preserved throughout transfer processes.
Formulas, Rollups, and Automation
- Composing Notion formulas for computed properties.
- Advanced rollup patterns for tracking metrics and KPIs.
- Streamlining routine updates using Notion integrations and third-party tools.
Designing Dashboards for Goal and Project Management
- Aligning project workflows with relational tables and views.
- Building goal-tracking dashboards featuring progress indicators.
- Establishing review and reporting workflows for key stakeholders.
Analytics and Reporting Methods
- Crafting metric-centric pages and summary tiles.
- Exporting refined data for external analytical tools.
- Using rollups and formulas to generate lightweight analytics.
Collaboration, Permissions, and Governance
- Administering workspace permissions and sharing protocols.
- Designing templates and governance structures for consistent use.
- Maintaining and refactoring databases as requirements change.
Course Summary and Future Steps
Requirements
- Foundational knowledge of data organization and spreadsheet functionality.
- Experience with standard productivity tools.
- Confidence in navigating web-based applications.
Target Audience
- Data analysts.
- Business professionals.
- Advanced users focused on building dashboards and databases.
