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Duration 14 hours
Course Outline
Getting Started with WrenAI Cloud
- Core features and underlying architecture.
- Account creation and environment setup.
- Comparing WrenAI Cloud with conventional BI tools.
Establishing Data Connections
- Linking to cloud-based databases.
- Integrating spreadsheets and CSV files.
- Overseeing and tracking data connectivity.
Foundations of Data Modeling
- Creating datasets and defining schemas.
- Mapping relationships across different data sources.
- Essential guidelines for effective model design.
Data Transformation and Enhancement
- Implementing filters and performing aggregations.
- Leveraging calculated fields.
- Setting up automatic data updates.
Principles of Dashboard Design
- Constructing interactive dashboard interfaces.
- Selecting appropriate chart types and visualization techniques.
- Refining layout and enhancing user experience.
Collaboration and Distribution
- Sharing and publishing dashboards.
- Managing access controls and user permissions.
- Utilizing WrenAI Cloud's collaborative tools.
System Management and Oversight
- Organizing workspaces and project management.
- Tracking performance metrics and usage statistics.
- Resolving common operational challenges.
Cutting-Edge Features and Future Outlook
- Expanding dashboard capabilities through integrations.
- Discovering analytics powered by AI.
- Previewing upcoming features in WrenAI Cloud.
Wrap-up and Path Forward
Requirements
- A solid grasp of fundamental data analysis principles.
- Practical experience using spreadsheets or basic BI tools.
- Comfort working with cloud-based software applications.
Target Audience
- Data analysts.
- BI developers.
- Operations leaders.
