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Course Outline

Introduction to WrenAI Cloud

  • Key features and architectural overview
  • Account creation and environment preparation
  • Comparison of WrenAI Cloud with 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
  • Utilizing calculated fields
  • Automating data refresh processes

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 management
  • Collaboration features within WrenAI Cloud

Administration and Monitoring

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

Advanced Features and Roadmap

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

Summary and Next Steps

Requirements

  • Foundational understanding of data analysis concepts
  • Experience using spreadsheets or basic BI tools
  • Familiarity with cloud-based applications

Target Audience

  • Data analysts
  • BI developers
  • Operations leads
 14 Hours

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