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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core features and system architecture
- Account creation and environment setup
- Comparing WrenAI Cloud with conventional BI tools
Establishing Data Connectivity
- Connecting to cloud-based databases
- Incorporating spreadsheets and CSV files
- Overseeing and tracking data connections
Foundations of Data Modeling
- Creating datasets and defining schemas
- Mapping relationships across different data sources
- Best practices for designing effective models
Data Transformation and Enhancement
- Implementing filters and aggregations
- Leveraging calculated fields
- Automating data refresh processes
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting appropriate chart types and visualization techniques
- Optimizing layouts and user experience
Collaboration and Distribution
- Publishing completed dashboards
- Managing access controls and permissions
- Utilizing collaboration tools within WrenAI Cloud
Administration and Performance Monitoring
- Managing workspaces and project structures
- Tracking performance metrics and usage
- Resolving common technical issues
Advanced Capabilities and Future Directions
- Expanding dashboards through integrations
- Discovering AI-assisted analytics features
- Previewing upcoming enhancements in WrenAI Cloud
Recap and Future Actions
Requirements
- A solid grasp of fundamental data analysis concepts
- Hands-on experience with spreadsheets or basic Business Intelligence tools
- Familiarity with using cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations leaders
