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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 Modeling 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 visualization 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 foundational understanding of basic data analysis concepts.
  • Experience with spreadsheets or simple BI tools.
  • Familiarity with cloud-based applications.

Audience

  • Data analysts.
  • BI developers.
  • Operations leads.
 14 Hours

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