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Course Outline
Introduction to WrenAI Cloud
- Overview of key features and architecture.
- Account setup and environment preparation.
- Comparison of WrenAI Cloud with traditional BI tools.
Data Connectivity
- Connecting to cloud databases.
- Integrating spreadsheets and CSV files.
- Managing and monitoring data connections.
Data Modeling Fundamentals
- Defining datasets and schemas.
- Establishing relationships between data sources.
- Best practices for model design.
Transformations and Enrichment
- Applying filters and aggregations.
- Utilizing calculated fields.
- Automating data refreshes.
Dashboard Design Principles
- Building interactive dashboards.
- Chart types and visualization best practices.
- Managing layouts and user experience.
Collaboration and Sharing
- Publishing dashboards.
- Access control and permissions.
- Collaboration features in WrenAI Cloud.
Administration and Monitoring
- Managing workspaces and projects.
- Monitoring performance and usage.
- Troubleshooting common issues.
Advanced Features and Roadmap
- Extending dashboards with integrations.
- Exploring AI-assisted analytics.
- Upcoming capabilities in WrenAI Cloud.
Summary and Next Steps
Requirements
- A solid understanding of basic data analysis concepts.
- Experience working with spreadsheets or basic BI tools.
- Familiarity with cloud-based applications.
Target Audience
- Data analysts
- BI developers
- Operations leads
14 Hours