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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core features and system architecture
- Creating accounts and preparing the environment
- Comparing WrenAI Cloud with traditional BI tools
Data Connectivity
- Establishing links with cloud databases
- Incorporating spreadsheets and CSV files
- Oversight and monitoring of data connections
Data Modeling Fundamentals
- Configuring datasets and defining schemas
- Creating connections between various data sources
- Best practices for effective model architecture
Data Transformation and Enhancement
- Implementing filters and aggregation methods
- Leveraging calculated fields
- Setting up automated data updates
Dashboard Design Principles
- Constructing dynamic, interactive dashboards
- Selecting chart types and applying visualization best practices
- Optimizing layouts for superior user experience
Collaboration and Sharing
- Distributing published dashboards
- Managing access rights and permissions
- Utilizing collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and project management
- Tracking system performance and usage metrics
- Resolving common technical challenges
Advanced Capabilities and Future Roadmap
- Enhancing dashboards through external integrations
- Discovering AI-driven analytics features
- Previewing future developments in WrenAI Cloud
Wrap-up and Future Directions
Requirements
- A foundational grasp of basic data analysis principles
- Prior experience utilizing spreadsheets or entry-level BI tools
- General familiarity with cloud-based application ecosystems
Target Audience
- Data analysts
- BI developers
- Operations leads
