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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core features and architectural components
- Creating accounts and preparing the environment
- WrenAI Cloud compared to conventional BI tools
Establishing Data Connections
- Linking with cloud-based databases
- Incorporating spreadsheets and CSV files
- Oversight and monitoring of data links
Basics of Data Modeling
- Setting up datasets and schemas
- Creating relationships across data sources
- Recommended approaches for model architecture
Data Transformation and Enhancement
- Implementing filters and aggregations
- Leveraging calculated fields
- Automating data update cycles
Principles of Dashboard Design
- Constructing interactive dashboards
- Selection of chart types and visualization standards
- Optimizing layout and user experience
Collaboration and Distribution
- Releasing dashboards for viewing
- Governing access and permissions
- Utilizing collaborative tools within WrenAI Cloud
Management and Surveillance
- Oversight of workspaces and projects
- Tracking performance metrics and usage patterns
- Resolving frequent technical challenges
Advanced Capabilities and Future Directions
- Expanding dashboards through external integrations
- Discovering AI-driven analytics features
- Anticipated new features in WrenAI Cloud
Recap and Forward Path
Requirements
- Foundational knowledge of data analysis principles
- Practical experience with spreadsheets or basic BI tools
- Comfort with using cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
