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Course Outline
Introduction to WrenAI Cloud
- Key features and architectural overview
- Account creation and environment preparation
- Comparison of WrenAI Cloud with traditional BI tools
Data Connectivity
- Connecting to cloud databases
- Integrating spreadsheets and CSV files
- Managing and monitoring data connections
Data Modeling Fundamentals
- Defining datasets and schemas
- Establishing relationships between data sources
- Best practices for model design
Transformations and Enrichment
- Applying filters and aggregations
- Utilizing calculated fields
- Automating data refresh processes
Dashboard Design Principles
- Building interactive dashboards
- Chart types and visualization best practices
- Managing layouts and user experience
Collaboration and Sharing
- Publishing dashboards
- Access control and permissions management
- Collaboration features within WrenAI Cloud
Administration and Monitoring
- Managing workspaces and projects
- Monitoring performance and usage metrics
- Troubleshooting common issues
Advanced Features and Roadmap
- Extending dashboards through integrations
- Exploring AI-assisted analytics capabilities
- Upcoming features in WrenAI Cloud
Summary and Next Steps
Requirements
- Foundational understanding of data analysis concepts
- Experience using spreadsheets or basic BI tools
- Familiarity with cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations leads
14 Hours
