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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core features and architectural overview
- Setting up accounts and preparing the environment
- Comparing WrenAI Cloud with conventional BI tools
Data Connectivity
- Linking to cloud-based databases
- Integrating spreadsheets and CSV files
- Oversight and monitoring of data connections
Essentials of Data Modeling
- Defining datasets and schemas
- Establishing links between different data sources
- Best practices for designing data models
Transformations and Data Enrichment
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data update cycles
Principles of Dashboard Design
- Constructing interactive dashboards
- Chart selection and visualization best practices
- Optimizing layouts and user experience
Collaboration and Sharing
- Sharing dashboards with stakeholders
- Managing access control and permissions
- Utilizing collaboration tools within WrenAI Cloud
Administration and Monitoring
- Overseeing workspaces and projects
- Tracking performance metrics and usage
- Resolving frequent technical issues
Advanced Capabilities and Future Roadmap
- Enhancing dashboards through third-party integrations
- Discovering AI-driven analytics features
- Upcoming developments in WrenAI Cloud
Conclusion and Recommendations
Requirements
- A solid grasp of fundamental data analysis principles
- Prior experience with spreadsheets or basic BI tools
- Knowledge of cloud-based applications
Intended Audience
- Data analysts
- BI developers
- Operations managers
