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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
- Comparison between WrenAI Cloud and traditional BI tools
Data Connectivity
- Linking cloud-based databases
- Integrating spreadsheets and CSV files
- Overseeing and monitoring data links
Foundations of Data Modeling
- Creating datasets and defining schemas
- Establishing connections between data sources
- Key practices for effective model design
Transformations and Enrichment
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data update processes
Principles of Dashboard Design
- Constructing interactive dashboards
- Chart selection and visualization best practices
- Optimizing layouts and user experience
Collaboration and Sharing
- Publishing dashboards for access
- Managing access controls and permissions
- Utilizing collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and projects
- Tracking performance and usage metrics
- Resolving common technical issues
Advanced Features and Future Roadmap
- Enhancing dashboards through integrations
- Discovering AI-powered analytics
- Future capabilities planned for WrenAI Cloud
Summary and Next Steps
Requirements
- Foundational knowledge of data analysis principles
- Hands-on experience with spreadsheets or basic BI tools
- Awareness of cloud-based application workflows
Target Audience
- Data analysts
- BI developers
- Operations leaders
