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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core features and architectural overview
- Setting up accounts and preparing environments
- Comparing WrenAI Cloud with traditional BI tools
Data Connectivity
- Linking to cloud-based databases
- Incorporating spreadsheets and CSV files
- Overseeing and monitoring data connections
Foundations of Data Modeling
- Creating datasets and defining schemas
- Building relationships across different data sources
- Best practices for designing effective models
Data Transformation and Enrichment
- Implementing filters and aggregations
- Leveraging calculated fields
- Automating data refresh processes
Dashboard Design Principles
- Constructing interactive dashboards
- Selecting chart types and following visualization best practices
- Optimizing layouts and enhancing user experience
Collaboration and Sharing
- Publishing dashboards for wider access
- Managing access control and user permissions
- Utilizing collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and project management
- Tracking performance metrics and usage patterns
- Resolving common operational issues
Advanced Capabilities and Future Directions
- Enhancing dashboards through third-party integrations
- Exploring AI-powered analytics features
- Previewing upcoming features in WrenAI Cloud
Recap and Path Forward
Requirements
- A solid grasp of fundamental data analysis concepts.
- Practical experience using spreadsheets or basic BI tools.
- General familiarity with cloud-based applications.
Target Audience
- Data analysts
- BI developers
- Operations leaders
