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Duration 14 hours
Course Outline
Getting Started with WrenAI Cloud
- Core features and architectural overview
- Account creation and environment setup
- Comparison between WrenAI Cloud and traditional BI tools
Establishing Data Connections
- Linking to cloud databases
- Integrating spreadsheets and CSV files
- Overseeing and tracking data connections
Basics of Data Modeling
- Structuring datasets and schemas
- Defining connections between data sources
- Guidelines for effective model design
Data Transformation and Enrichment
- Implementing filters and aggregations
- Leveraging calculated fields
- Automating data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting chart types and visualization techniques
- Optimizing layouts and user experience
Collaboration and Distribution
- Releasing dashboards
- Configuring access controls and permissions
- Utilizing collaboration tools within WrenAI Cloud
System Administration and Monitoring
- Administering workspaces and projects
- Tracking performance and usage metrics
- Resolving frequent technical issues
Advanced Capabilities and Future Development
- Expanding dashboard functionality through integrations
- Discovering AI-driven analytics
- Upcoming features in WrenAI Cloud
Conclusion and Recommendations
Requirements
- Familiarity with fundamental data analysis principles
- Proficiency with spreadsheets or basic BI tools
- Acquaintance with cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
