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Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core features and system architecture
- Account creation and environment setup
- Comparison of WrenAI Cloud with conventional BI tools
Establishing Data Connections
- Linking to cloud-based databases
- Incorporating spreadsheets and CSV files
- Overseeing and monitoring data links
Foundations of Data Modeling
- Specifying datasets and schemas
- Creating links between different data sources
- Recommended approaches for model design
Data Transformation and Enhancement
- Implementing filters and aggregations
- Leveraging calculated fields
- Setting up automated data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Optimal chart selection and visualization techniques
- Layout management and user experience optimization
Team Collaboration and Distribution
- Releasing dashboards for use
- Controlling access and setting permissions
- Collaborative features available in WrenAI Cloud
System Administration and Oversight
- Oversight of workspaces and projects
- Tracking performance and usage metrics
- Resolving common technical issues
Advanced Capabilities and Future Development
- Enhancing dashboards through integrations
- Discovering AI-supported analytics
- Future features planned for WrenAI Cloud
Conclusion and Future Actions
Requirements
- A grasp of fundamental data analysis principles
- Prior experience with spreadsheets or entry-level BI tools
- Knowledge of cloud-based application ecosystems
Target Audience
- Data analysts
- BI developers
- Operations managers
