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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core functionalities and architecture
- Setting up accounts and preparing the environment
- 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
- Specifying datasets and schemas
- Creating links between data sources
- Recommended approaches for model design
Transformations and Enrichment
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Chart types and visualization best practices
- Managing layouts and enhancing user experience
Collaboration and Sharing
- Releasing dashboards
- Access management and permissions
- Collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and projects
- Tracking performance and usage metrics
- Resolving common issues
Advanced Features and Future Roadmap
- Expanding dashboards through integrations
- Investigating AI-driven analytics
- Future capabilities in WrenAI Cloud
Wrap-up and Next Steps
Requirements
- Knowledge of fundamental data analysis principles
- Proficiency with spreadsheets or basic BI tools
- Accustomed to using cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
