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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core features and architectural overview
- Account creation and environment readiness
- Comparison of WrenAI Cloud with conventional BI tools
Data Connectivity
- Linking cloud databases
- Incorporating spreadsheets and CSV files
- Oversight and monitoring of data links
Essentials of Data Modeling
- Specifying datasets and schemas
- Creating connections between different data sources
- Optimal strategies for model architecture
Data Transformation and Enhancement
- Implementing filters and aggregations
- Utilizing calculated fields
- Scheduling automatic data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selection of chart types and visualization best practices
- Optimizing layout and user experience
Collaboration and Distribution
- Releasing dashboards
- Managing access rights and permissions
- Using collaborative 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 integrations
- Exploring AI-driven analytics
- Upcoming features in WrenAI Cloud
Recap and Future Actions
Requirements
- A foundational grasp of basic data analysis concepts
- Practical experience with spreadsheets or entry-level BI tools
- General knowledge of cloud-based applications
Audience
- Data analysts
- BI developers
- Operations managers
