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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core functionalities and system architecture
- Account creation and environment setup
- Comparison with traditional BI tools
Data Integration
- Linking to cloud-hosted databases
- Importing spreadsheets and CSV files
- Oversight and monitoring of data links
Basics of Data Modeling
- Specifying datasets and schemas
- Establishing connections between different data sources
- Guidelines for effective model design
Data Processing and Enhancement
- Implementing filters and aggregations
- Leveraging calculated fields
- Setting up automated data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selection of chart types and visualization standards
- Optimizing layouts and user experience
Team Collaboration and Distribution
- Releasing dashboards for access
- Managing access rights and permissions
- Utilizing collaboration tools within WrenAI Cloud
Management and Oversight
- Administering workspaces and projects
- Tracking performance metrics and usage
- Resolving frequent technical issues
Advanced Capabilities and Future Directions
- Expanding dashboards via integrations
- Discovering AI-powered analytics
- Previewing upcoming features in WrenAI Cloud
Conclusion and Future Pathways
Requirements
- A foundational grasp of basic data analysis principles
- Practical experience with spreadsheets or basic BI tools
- Comfort with utilizing cloud-based applications
Intended Audience
- Data analysts
- BI developers
- Operations managers
