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Duration 14 hours
Course Outline
Getting Started with WrenAI Cloud
- Core features and system architecture
- Setting up accounts and preparing the environment
- Comparing WrenAI Cloud with conventional BI tools
Data Connectivity
- Establishing connections to cloud databases
- Incorporating spreadsheets and CSV files
- Oversight and monitoring of data connections
Foundations of Data Modeling
- Structuring datasets and defining schemas
- Creating links between different data sources
- Recommended strategies for effective model design
Data Transformation and Enrichment
- Applying filters and aggregate calculations
- Leveraging calculated fields
- Setting up automated data refreshes
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting appropriate chart types and visualisation standards
- Optimising layouts and user experience
Collaboration and Distribution
- Sharing and publishing dashboards
- Managing access controls and permissions
- Utilising collaboration tools within WrenAI Cloud
System Administration and Monitoring
- Oversight of workspaces and projects
- Tracking performance metrics and usage patterns
- Resolving common technical issues
Advanced Capabilities and Future Directions
- Expanding dashboard functionality through integrations
- Utilising AI-driven analytics features
- Anticipated new features in WrenAI Cloud
Recap and Future Directions
Requirements
- A foundational grasp of basic data analysis principles
- Practical experience with spreadsheets or basic BI tools
- General familiarity with cloud-based software applications
Target Audience
- Data analysts
- BI developers
- Operations leads
