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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core features and system architecture
- Setting up accounts and preparing the environment
- Comparing WrenAI Cloud with traditional BI tools
Data Connectivity
- Linking to cloud databases
- Integrating spreadsheets and CSV files
- Overseeing and monitoring data connections
Basics of Data Modeling
- Specifying datasets and schemas
- Creating relationships across data sources
- Best practices for designing models
Transformations and Enrichment
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data refresh cycles
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting chart types and applying visualization best practices
- Optimizing layouts for user experience
Collaboration and Sharing
- Releasing dashboards
- Managing access control and permissions
- Leveraging collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and projects
- Tracking performance and usage metrics
- Resolving common technical issues
Advanced Features and Roadmap
- Enhancing dashboards through integrations
- Investigating AI-assisted analytics
- Previewing future capabilities in WrenAI Cloud
Wrap-up and Future Directions
Requirements
- A solid grasp of fundamental data analysis concepts
- Experience using spreadsheets or basic BI tools
- General familiarity with cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations leads
