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Course Outline

Introduction to WrenAI Cloud

  • Core features and system architecture
  • Account creation and environment setup
  • Comparing WrenAI Cloud with traditional BI tools

Data Connectivity

  • Linking to cloud-based databases
  • Integrating spreadsheet and CSV file data
  • Oversight and monitoring of data connections

Data Modeling Fundamentals

  • Structuring datasets and schemas
  • Defining relationships across data sources
  • Recommended practices for model design

Transformations and Enrichment

  • Implementing filters and aggregations
  • Leveraging calculated fields
  • Setting up automated data refreshes

Dashboard Design Principles

  • Constructing interactive dashboards
  • Selecting chart types and visualization best practices
  • Optimizing layouts and user experience

Collaboration and Sharing

  • Releasing dashboards to stakeholders
  • Managing access control and permissions
  • Utilizing collaboration features within WrenAI Cloud

Administration and Monitoring

  • Overseeing workspaces and projects
  • Tracking performance metrics and usage
  • Resolving common technical issues

Advanced Features and Roadmap

  • Enhancing dashboards through integrations
  • Discovering AI-assisted analytics capabilities
  • Anticipated future features in WrenAI Cloud

Summary and Next Steps

Requirements

  • A solid grasp of fundamental data analysis concepts
  • Practical experience with spreadsheets or basic BI tools
  • General familiarity with cloud-based applications

Target Audience

  • Data analysts
  • BI developers
  • Operations leads
 14 Hours

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