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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core functionalities and architectural components
- Setting up accounts and preparing the environment
- Comparing WrenAI Cloud with conventional BI tools
Data Connectivity
- Establishing connections to cloud databases
- Integrating data from spreadsheets and CSV files
- Overseeing and tracking data connections
Foundations of Data Modeling
- Structuring datasets and defining schemas
- Creating links between different data sources
- Recommended approaches for effective model design
Data Transformation and Enrichment
- Implementing filters and aggregate functions
- Utilizing calculated fields for enhanced analysis
- Setting up automated data updates
Principles of Dashboard Design
- Constructing responsive and interactive dashboards
- Choosing appropriate chart types and visualization standards
- Optimizing layout and user experience
Collaboration and Distribution
- Releasing dashboards for end-users
- Configuring access rights and permissions
- Leveraging collaboration tools within WrenAI Cloud
System Administration and Monitoring
- Oversight of workspaces and project management
- Tracking system performance and resource usage
- Resolving frequent technical challenges
Advanced Capabilities and Future Developments
- Enhancing dashboards through external integrations
- Discovering AI-driven analytical features
- Previewing forthcoming enhancements in WrenAI Cloud
Conclusion and Further Learning Paths
Requirements
- A foundational grasp of basic data analysis principles
- Hands-on experience with spreadsheets or entry-level BI tools
- Working knowledge of cloud-based software applications
Target Audience
- Data analysts
- BI developers
- Operations managers
