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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core features and system architecture
- Account configuration and environment preparation
- Comparison of WrenAI Cloud with conventional BI tools
Data Connectivity
- Establishing connections to cloud databases
- Incorporating spreadsheets and CSV files
- Overseeing and tracking data connections
Basics of Data Modeling
- Creating datasets and defining schemas
- Linking relationships across data sources
- Recommended approaches for model design
Transformations and Data Enrichment
- Implementing filters and aggregations
- Leveraging calculated fields
- Automating data updates
Dashboard Design Principles
- Constructing interactive dashboards
- Chart types and visualization standards
- Optimizing layouts and user experience
Collaboration and Sharing
- Releasing dashboards for access
- Controlling access rights and permissions
- Utilizing collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and projects
- Tracking performance and usage metrics
- Resolving common operational issues
Advanced Capabilities and Future Plans
- Enhancing dashboards through integrations
- Discovering AI-supported analytics
- Future developments in WrenAI Cloud
Conclusion and Future Actions
Requirements
- Familiarity with fundamental data analysis concepts
- Proficiency with spreadsheets or basic BI tools
- Experience with cloud-based applications
Audience
- Data analysts
- BI developers
- Operations leads
