Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Overview of WrenAI Cloud
- Core features and system architecture
- Setting up accounts and preparing environments
- Comparing WrenAI Cloud with conventional BI tools
Establishing Data Connectivity
- Linking to cloud-based databases
- Incorporating spreadsheets and CSV files
- Overseeing and monitoring data links
Foundations of Data Modeling
- Creating datasets and defining schemas
- Mapping relationships across different data sources
- Adopting best practices for model architecture
Data Transformation and Enhancement
- Implementing filters and aggregations
- Utilizing calculated fields
- Automating data updates
Principles of Dashboard Design
- Constructing interactive dashboards
- Selecting appropriate chart types and visualization techniques
- Optimizing layouts and user experience
Collaboration and Distribution
- Releasing dashboards for use
- Managing access controls and user permissions
- Leveraging collaboration tools within WrenAI Cloud
System Administration and Monitoring
- Oversight of workspaces and projects
- Tracking performance metrics and usage patterns
- Resolving common technical issues
Advanced Capabilities and Future Roadmap
- Enhancing dashboards through external integrations
- Discovering AI-driven analytics features
- Looking ahead to new features in WrenAI Cloud
Wrap-up and Recommended Next Steps
Requirements
- A solid grasp of fundamental data analysis principles.
- Proficiency with spreadsheets or basic BI tools.
- General familiarity with cloud-based applications.
Target Audience
- Data analysts.
- BI developers.
- Operations leaders.
