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Duration 14 hours
Course Outline
Getting Started with WrenAI Cloud
- Overview of core features and architecture
- Setting up accounts and preparing the environment
- Comparing WrenAI Cloud with traditional BI tools
Establishing Data Connections
- Linking to cloud-based databases
- Incorporating spreadsheets and CSV files
- Overseeing and monitoring data connections
Foundations of Data Modeling
- Creating datasets and defining schemas
- Setting up connections between different data sources
- Guidelines for effective model design
Data Transformation and Enhancement
- Implementing filters and aggregations
- Utilizing calculated fields
- Setting up automatic data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting appropriate chart types and visualization techniques
- Optimizing layouts and user experience
Team Collaboration and Distribution
- Sharing dashboards with stakeholders
- Managing access rights and permissions
- Utilizing collaborative tools within WrenAI Cloud
System Administration and Oversight
- Administering workspaces and projects
- Tracking performance metrics and usage levels
- Resolving common technical issues
Advanced Capabilities and Future Developments
- Expanding dashboard functionality through integrations
- Discovering AI-supported analytics
- Looking ahead at new features in WrenAI Cloud
Recap and Future Directions
Requirements
- A grasp of fundamental data analysis principles
- Practical experience using spreadsheets or basic BI tools
- Comfort with cloud-based applications
Intended Audience
- Data analysts
- BI developers
- Operations leads
