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Course Outline

Introduction to WrenAI Cloud

  • Key features and architecture
  • Account setup and environment preparation
  • Comparison between WrenAI Cloud and traditional BI tools

Data Connectivity

  • Connecting to cloud databases
  • Integrating spreadsheets and CSV files
  • Managing and monitoring data connections

Data Modelling Fundamentals

  • Defining datasets and schemas
  • Establishing relationships between data sources
  • Best practices for model design

Transformations and Enrichment

  • Applying filters and aggregations
  • Using calculated fields
  • Automating data refreshes

Dashboard Design Principles

  • Building interactive dashboards
  • Chart types and visualisation best practices
  • Managing layouts and user experience

Collaboration and Sharing

  • Publishing dashboards
  • Access control and permissions
  • Collaboration features in WrenAI Cloud

Administration and Monitoring

  • Managing workspaces and projects
  • Monitoring performance and usage
  • Troubleshooting common issues

Advanced Features and Roadmap

  • Extending dashboards with integrations
  • Exploring AI-assisted analytics
  • Upcoming capabilities in WrenAI Cloud

Summary and Next Steps

Requirements

  • A fundamental understanding of data analysis concepts
  • Experience using spreadsheets or basic Business Intelligence (BI) tools
  • Familiarity with cloud-based applications

Audience

  • Data analysts
  • BI developers
  • Operations leads
 14 Hours

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