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Course Outline

Getting to Know WrenAI Cloud

  • Core functionalities and system architecture
  • Account creation and environment readiness
  • Comparing WrenAI Cloud with conventional BI tools

Establishing Data Links

  • Connecting to cloud-hosted databases
  • Incorporating spreadsheets and CSV files
  • Overseeing and tracking data connections

Basics of Data Modeling

  • Defining datasets and schemas
  • Creating associations between different data sources
  • Recommended practices for designing models

Data Processing and Enhancement

  • Applying filters and summary calculations
  • Utilizing calculated fields
  • Setting up automatic data updates

Principles of Dashboard Creation

  • Assembling interactive dashboards
  • Optimal chart types and visualization techniques
  • Managing layout and enhancing user experience

Teamwork and Distribution

  • Releasing dashboards for viewing
  • Controlling access and managing permissions
  • Collaborative tools within WrenAI Cloud

Administration and Oversight

  • Overseeing workspaces and projects
  • Monitoring system performance and usage
  • Resolving frequent technical issues

Advanced Capabilities and Future Plans

  • Expanding dashboards through integrations
  • Investigating analytics supported by AI
  • New features coming to WrenAI Cloud

Conclusion and Future Actions

Requirements

  • Foundational knowledge of data analysis principles
  • Experience using spreadsheets or basic BI tools
  • Comfort with cloud-based software applications

Target Audience

  • Data analysts
  • BI developers
  • Operations leads
 14 Hours

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