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Duration 14 hours
Course Outline
Introduction to WrenAI Cloud
- Core features and architectural overview.
- Account initialization and environment setup.
- Comparing WrenAI Cloud with traditional BI solutions.
Data Connectivity
- Linking to cloud-based databases.
- Incorporating spreadsheets and CSV files.
- Overseeing and monitoring data connections.
Foundations of Data Modeling
- Specifying datasets and schemas.
- Mapping relationships across different data sources.
- Recommended practices for effective model design.
Transformations and Data Enrichment
- Implementing filters and aggregations.
- Leveraging calculated fields.
- Automating data update cycles.
Dashboard Design Best Practices
- Constructing interactive dashboard interfaces.
- Optimizing chart selection and visualization techniques.
- Refining layout and enhancing user experience.
Collaboration and Distribution
- Deploying dashboards for broader access.
- Configuring access controls and permissions.
- Utilizing collaborative features within WrenAI Cloud.
Administrative Oversight and Monitoring
- Administering workspaces and project structures.
- Tracking system performance and usage metrics.
- Resolving frequent technical issues.
Advanced Capabilities and Future Outlook
- Enhancing dashboards through external integrations.
- Investigating AI-supported analytical features.
- Reviewing forthcoming updates in WrenAI Cloud.
Recap and Future Directions
Requirements
- A solid grasp of fundamental data analysis principles.
- Hands-on experience with spreadsheets or entry-level BI tools.
- General familiarity with cloud-based software applications.
Target Audience
- Data analysts.
- BI developers.
- Operations leaders.
