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Hands-On AI: Automate Data Analytics and Reporting with n8n

Hands-On AI: Automate Data Analytics and Reporting with n8n

51mIntermediate2026-03-09

Authors

Dawn Choo

Dawn Choo

Jeremiah Clark

Jeremiah Clark

Course details

This course empowers data professionals to automate their analytics workflows with AI and n8n—a powerful open-source workflow platform that connects AI tools with your existing tech stack. Learn how to identify which workflows to automate, build the workflows securely, deploy, and communicate the automations to your organization. Build the knowledge and skills you need to deploy production-ready automations and reusable templates for common analytics challenges like report generation, data validation, and real-time alerting. Whether you're drowning in manual reports or looking to upskill in AI, this course offers data professionals from beginner to expert a practical foundation to level up your productivity.

Learning objectives
Identify which Analytics and Reporting processes and workflows are candidates for AI automations.
Understand how to work in n8n, including schedules, nodes, data structures, AI tools, and connecting to external tools (like Slack, Teams, databases etc). Recognize enough fundamentals to get creative and build out the processes you need.
Deploy and communicate the workflows you’ve created for your organization.
Understand how to use AI for workflow automations while maintaining organization data security.
Use bonus templates on how to use AI and n8n for common Analytics workflows.

Concepts

Introduction to the Course

  • Why automation matters for analysts

Touring Our First Project

  • Touring the n8n interface
  • Understanding n8n building blocks
  • Using n8n templates

Identifying Opportunities for Reporting Automation

  • Identifying automation opportunities

Building the Core Workflow

  • Introduce example workflow
  • Setting up data extraction
  • Data transformation with nodes
  • Automating report delivery

Adding AI-Powered Insight and Logic

  • Introduce AI-powered workflow output example
  • Introduction to AI nodes
  • Generating AI insights from data
  • Sending AI powered reports
  • Validating AI output
  • Securing workflows - API keys and compliance

Scheduling, Deployment and Maintenance

  • Scheduling workflow runs
  • Error handling and monitoring
  • Versioning and collaboration

Conclusion

  • Don't wait to dig in further

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