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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 Connections
- Linking to cloud-based databases
- Integrating spreadsheets and CSV files
- Overseeing and tracking data connections
Basics of Data Modeling
- Defining datasets and database schemas
- Creating relationships across different data sources
- Recommended practices for designing data models
Data Transformation and Enhancement
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting chart types and applying visualization best practices
- Organizing layouts and optimizing user experience
Collaboration and Distribution
- Releasing dashboards for viewing
- Managing access control and user permissions
- Leveraging collaboration tools within WrenAI Cloud
System Administration and Oversight
- Administering workspaces and projects
- Tracking performance metrics and usage patterns
- Resolving common technical issues
Advanced Capabilities and Future Developments
- Expanding dashboard functionality through integrations
- Discovering AI-driven analytics
- Upcoming features in the WrenAI Cloud roadmap
Wrap-up and Subsequent Steps
Requirements
- Foundational knowledge of basic data analysis concepts
- Hands-on experience with spreadsheets or entry-level BI tools
- Comfort with cloud-based applications
Target Audience
- Data analysts
- BI developers
- Operations managers
