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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core capabilities and system architecture
- Setting up accounts and preparing environments
- Comparing WrenAI Cloud with conventional BI tools
Establishing Data Connections
- Linking to cloud-hosted databases
- Incorporating spreadsheets and CSV files
- Overseeing and monitoring data links
Basics of Data Modeling
- Specifying datasets and schemas
- Creating connections between different data sources
- Recommended approaches for designing models
Data Transformation and Enhancement
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data updates
Principles of Dashboard Creation
- Assembling interactive dashboards
- Optimal chart selection and visualization techniques
- Controlling layouts and enhancing user experience
Teamwork and Distribution
- Releasing dashboards for use
- Managing access rights and permissions
- Leveraging collaborative tools within WrenAI Cloud
Management and Performance Tracking
- Administering workspaces and projects
- Tracking system performance and utilization
- Resolving frequent operational issues
Advanced Capabilities and Future Plans
- Expanding dashboards through integrations
- Discovering AI-driven analytics features
- Emerging functionalities in WrenAI Cloud
Conclusion and Future Directions
Requirements
- A grasp of fundamental data analysis principles
- Practical experience with spreadsheets or basic BI applications
- Comfort with cloud-based software environments
Target Audience
- Data analysts
- BI developers
- Operations leaders
