Simo Ahava – Google Analytics 4 in Big Query

Features of Simo Ahava – Google Analytics 4 in Big Query

What You Get:

1. Getting Started
2. Setup the BigQuery environment
3. Link Google Analytics 4 and Google BigQuery
4. Access the course dataset
5. Explore the Google Analytics 4 export schema
6. Run your first SQL query
7. Events & Users
8. Understand GA4’s session and user data models
9. Sessionize the event data stream in BigQuery
10. Group data by users and different user-based dimensions
11. Access user properties
12. Learn how to unnest data
13. Learn about query costs (and optimization)
14. Engagement & Retention
15. Replicate and customize GA4’s sessionization logic
16. Use “engagement” as a way to segment data
17. Build custom pathing reports to show how users navigate your website
18. Build comprehensive event reports and event funnels
19. Replicate and customize GA4’s retention model
20. Integrate Google BigQuery with Google Data Studio
21. Monetization & Lifetime Value
22. Explore the ecommerce event schema in the GA4 data
23. Calculate ecommerce metrics
24. Explore how GA4 utilizes “items” in ecommerce events
25. Build a comprehensive items funnel report
26. Calculate and visualize the lifetime value of users
27. Advanced Queries
28. Learn advanced techniques for working with Google BigQuery and Google Analytics 4
29. Craft your own concept of an “engaged session”
30. Combine GA4 data with other public datasets
31. Flatten the GA4 schema to work with relational databases
32. And many more…this section is constantly updated with new content