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Duration 14 hours
Course Outline
Getting Started with WrenAI Cloud
- Core features and system architecture
- Creating accounts and preparing the environment
- Comparing WrenAI Cloud with traditional BI tools
Data Connectivity
- Linking to cloud-based databases
- Incorporating spreadsheets and CSV files
- Overseeing and tracking data connections
Fundamentals of Data Modeling
- Defining datasets and schemas
- Creating relationships between different data sources
- Best practices for designing models
Data Transformations and Enrichment
- Implementing filters and aggregations
- Leveraging calculated fields
- Setting up automatic data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selection of chart types and visualization best practices
- Optimizing layouts and user experience
Collaboration and Sharing
- Releasing dashboards for wider use
- Managing access control and permissions
- Utilizing collaboration features within WrenAI Cloud
Administration and Monitoring
- Managing workspaces and projects
- Tracking performance and usage metrics
- Resolving common technical issues
Advanced Capabilities and Future Roadmap
- Enhancing dashboards through integrations
- Exploring AI-driven analytics
- Previewing upcoming features in WrenAI Cloud
Recap and Recommendations
Requirements
- A grasp of fundamental data analysis concepts
- Experience working with spreadsheets or entry-level BI tools
- Basic familiarity with cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
