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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
Establishing Data Connectivity
- Linking to cloud-based databases
- Integrating spreadsheet and CSV file data
- Overseeing and monitoring data connections
Foundations of Data Modeling
- Creating datasets and defining schemas
- Mapping relationships across data sources
- Recommended approaches for model architecture
Data Transformation and Enhancement
- Implementing filters and aggregations
- Leveraging calculated fields
- Setting up automated data updates
Principles of Dashboard Design
- Constructing interactive dashboard layouts
- Choosing chart types and following visualization best practices
- Optimizing layout and user experience
Team Collaboration and Distribution
- Releasing dashboards for wider use
- Configuring access controls and permissions
- Utilizing collaborative tools within WrenAI Cloud
System Administration and Oversight
- Administering workspaces and projects
- Tracking performance metrics and usage patterns
- Resolving frequent technical issues
Advanced Capabilities and Future Directions
- Expanding dashboards through third-party integrations
- Discovering AI-driven analytical features
- Previewing future developments in WrenAI Cloud
Recap and Future Actions
Requirements
- A grasp of fundamental data analysis concepts
- Practical experience with spreadsheets or basic BI tools
- Comfort with cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
