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Duration 14 hours
Course Outline
WrenAI Cloud Introduction
- Core features and architectural overview
- Account creation and environment setup
- Comparison with traditional BI tools
Establishing Data Connectivity
- Linking to cloud-based databases
- Incorporating spreadsheets and CSV files
- Oversight and management of data links
Foundations of Data Modeling
- Creating datasets and defining schemas
- Mapping relationships across data sources
- Guidelines for effective model design
Data Transformation and Enhancement
- Implementing filters and aggregations
- Leveraging calculated fields
- Setting up automatic data refreshes
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting chart types and visualization best practices
- Optimizing layouts and user experience
Collaboration and Distribution
- Releasing dashboards to users
- Managing access control and permissions
- Utilizing collaboration tools in WrenAI Cloud
Administration and Monitoring
- Oversight of workspaces and projects
- Tracking performance and usage metrics
- Resolving common technical issues
Advanced Capabilities and Future Roadmap
- Expanding dashboards through integrations
- Discovering AI-assisted analytics features
- Preview of upcoming WrenAI Cloud features
Recap and Future Steps
Requirements
- A solid grasp of fundamental data analysis principles
- Proficiency with spreadsheets or entry-level BI tools
- Basic knowledge of cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
