Simo Ahava Google Analytics 4 in Big Query: what the course delivers
GA4 reports are fast, but they are sampled, aggregated and limited by the interface. The BigQuery export gives you every event, and this course by Simo Ahava shows how to work with it. You start by creating the BigQuery environment, linking it in GA4, adjusting extra configurations and exploring the export schema before writing your first queries.
From there the course follows real analytics questions. In Events & Users you count sessions, learn about query costs and break users down by acquisition, geography and technology. Engagement & Retention covers event parameters, ga_session_id, engaged sessions, scrolls, clicks, downloads and retention. Monetization & Lifetime Value moves into ecommerce metrics, conversion rate, refund, tax and shipping data, and item-level analysis. Explore similar training in our Ecommerce courses category.
The Advanced Queries section covers custom engaged sessions, flattening the GA4 schema for relational databases, third-party data and channel grouping, plus user-defined functions for URL cleaning and fuzzy matching. Fifteen Office Hours sessions with SQL snippets add real questions on top. Pair it with Simo Ahava Server-side Tagging in Google Tag Manager for the collection side, or see our updates.
At a glance
| At a glance | Google Analytics 4 in Big Query |
|---|---|
| Course | Simo Ahava – Google Analytics 4 in Big Query |
| Author | Simo Ahava |
| Format | Digital files (instant-access download, no subscription) |
| Video lessons | 96 |
| Files in total | 240 |
| Total size | 9.5 GB |
| Topic | GA4 raw data analysis with SQL in BigQuery |
| Audience | Data analysts and digital marketers |
| Structure | 7 sections with query files and resources |
| Extras | Initial and final queries, SQL snippets, 15 Office Hours sessions |
| Delivery | Manual delivery after crypto payment confirmation |
What you learn about GA4 and BigQuery
- Create the BigQuery environment and link it to your GA4 property
- Understand the GA4 export schema and write your first SQL queries
- Count sessions and understand query costs before you run them
- Segment users by acquisition, geography and technology
- Analyse engagement with session_engaged, scrolls, clicks and downloads
- Calculate user retention and run cohort-style analysis
- Build ecommerce metrics, conversion rates and item-level reports
- Calculate user lifetime revenue and add refund, tax and shipping data
- Flatten the GA4 schema for relational databases and integrate third-party data
- Write user-defined functions for URL cleaning and fuzzy matching
Advanced Analytics
Simo Ahava – Google Analytics 4 in Big Query
A hands-on GA4 BigQuery course for analysts and marketers. Seven sections cover setup, events and users, engagement and retention, monetization and lifetime value, advanced queries and Office Hours sessions. Each lesson comes with initial and final queries so you can follow along and adapt the SQL to your own data. Digital download.
📂 01-Introduction · 3 videos
- 01-Introduction
- 02-Curriculum
- 03-Requirements
📂 02-Getting Started · 8 videos
- 📁 01-Setup Google BigQuery
- 01-Create The BigQuery Environment
- 01-Resources
- 02-Setup The BigQuery Link In GA4
- 03-Additional Configurations
- 04-Key Takeaways
- 📁 02-Explore GA4 Data
- 01-Access The Course Dataset
- 01-Resource
- 02-Explore The GA4 Export Schema
- 02-Resource
- 03-Final Query
- 03-Resources
- 03-The First SQL Query
📂 03-Events & Users · 22 videos
- 📁 01-Event Exploration
- 01-Count Sessions Of A Single Day
- 01-Final Query
- 01-Initial Query
- 01-Resources
- 02-About Query Costs
- 02-Final Query
- 02-Initial Query
- 02-Resource
- 03-Count Sessions Across A Static Date Range
- 03-Initial & Final Query
- 03-Resources
- 04-Count Sessions Across A Dynamic Date Range
- 04-Initial & Final Query
- 04-Resources
- 05-Count Sessions Across Event And Intraday Tables
- 05-Initial & Final Query
- 05-Resources
- 06-Count Sessions By Part Of Week
- 06-Initial & Final Query
- 06-Resources
- 07-Count Sessions By Part Of Day
- 07-Initial & Final Query
- 07-Resources
- 08-Key Takeaways
- 📁 02-User Dimensions
- 01-About GA4 Users
- 01-Initial & Final Query
- 01-Resource
- 02-Count Unique Users
- 02-Initial & Final Query
- 02-Resources
- 03-Group Users By Year Of Their First Visit
- 04-Group Users By Acquisition Campaign
- 05-Group Users By Geographical Location
- 06-Group Users By Technology
- 06-Notes
- 07-Key Takeaways
- 📁 03-User Properties
- 01-Query User Properties
- 02-Unnest All User Properties
- 03-Resource
- 03-Unnest A Specific User Property
- 04-Access A User Property With A Scalar Subquery
- 05-Access Multiple Properties With Scalar Subqueries
- 06-Combine User Properties With Other User Data
- 06-Resource
📂 04-Engagement & Retention · 27 videos
- 📁 01-(Engaged) Sessions
- 01-Initial & Final Query
- 01-Query Event Parameters
- 02-Count Regular Sessions Using ga_session_id
- 02-Initial & Final Query
- 03-Explore Engagement Using session_engaged
- 03-Initial & Final Query
- 03-Resource
- 04-Count Engaged Sessions Using session_engaged
- 04-Initial & Final Query
- 04-Resource
- 05-Count Engaged Users Using engagement_time_msec
- 05-Initial & Final Query
- 06-Explore Session Traffic Sources
- 06-Initial & Final Query
- 06-Resource
- 07-Key Takeaways
- 📁 02-Page Tracking
- 01-Count Page Views By Pages And Titles
- 02-Count Unique Page Views
- 03-Identify Most Visited Landing Pages
- 04-Identify The Exit Page Of A Single Session
- 05-Identify Most Popular Exit Pages
- 05-Note
- 06-Identify Page Pathing For A Single Session
- 07-Identify Most Popular Pathing For Any Page
- 07-Initial & Final Query
- 08-Key Takeaways
- 📁 03-Events
- 01-Count Scroll Interactions
- 02-Count Outbound Clicks
- 02-Resource
- 03-Track Site Search
- 04-Explore Video Engagement
- 05-Count File Downloads
- 05-Resource
- 06-Count Events Per User With A Pivot Table
- 06-Resources
- 📁 04-Retention
- 01-Count New And Returning Users
- 02-Calculate User Retention 1-2
- 03-Calculate User Retention 2-2
- 03-Resources
- 04-Calculate User Retention By Cohort
- 05-Key Takeaways
📂 05-Monetization & Lifetime Value · 11 videos
- 📁 01-Ecommerce
- 01-Calculate Ecommerce Metrics By Date
- 01-Initial & Final Query
- 01-Resource
- 02-Calculate Conversion Rate By Engaged Sessions
- 02-Initial & Final Query
- 03-Add Refund, Tax, And Shipping Data
- 03-Initial & Final Query
- 03-Resources
- 04-Key Takeaways
- 📁 02-Items
- 01-Explore Items Data
- 02-Count Items And Revenue
- 02-Note
- 03-Build An Items Funnel With Events
- 📁 03-Lifetime Value
- 01-Calculate User Lifetime Revenue
- 02-Calculate Average Lifetime Revenue
- 03-Key Takeaways
📂 06-Advanced Queries · 10 videos
- 00-Advanced Queries
- 01-Custom Engaged Sessions
- 01-Initial & Final Query
- 01-Resource
- 02-Flatten GA4 Schema For Relational Databases
- 02-Initial & Final Query
- 02-Resource
- 03-Initial & Final Query
- 03-Join GA4 With Public Weather Data
- 03-Resource
- 04-Configure And Query Billing Export
- 04-Final Query
- 04-Resources
- 05-Optimize BigQuery And Data Studio Connection
- 05-Resource
- 06-2 Initial Queries & 2 Final Queries
- 06-Default And Custom Channel Grouping
- 06-Resource
- 07-Clean URLs With UDFs
- 07-Initial & Final Query
- 07-Notes
- 08-Initial, Final, & Bonus Query
- 08-Resources
- 08a-Fuzzy Matching With UDFs
- 08b-Bonus – Using Soundex
- 09-APPENDIX – BigQuery Workbook
📂 07-Office Hours sessions · 15 videos
- 01-December 15, 2022
- 01-Resources
- 01-SQL Snippet #1
- 01-SQL Snippet #2.1
- 01-SQL Snippet #2
- 02-November 24, 2022
- 02-Resources
- 02-SQL Snippet #1
- 03-October 27, 2022
- 03-Resources
- 03-SQL Snippet #1
- 04-June 29, 2022
- 04-Resources
- 04-SQL Snippet #1
- 04-SQL Snippet #2
- 04-SQL Snippet #3
- 05-May 25, 2022
- 05-Resources
- 06-April 26, 2022
- 06-Resource
- 07-March 30, 2022
- 07-Resource
- 07-SQL Snippet #1
- 08-February 23, 2022
- 08-Resource
- 09-January 26, 2022
- 09-Timestamps
- 10-December 22, 2021
- 10-Timestamps
- 11-November 17, 2021
- 11-Resources
- 11-SQL Snippet #1
- 12-Resource
- 12-SQL Snippet #1
- 12-September 6, 2021
- 13-August 30, 2021
- 13-Resource
- 13-SQL Snippet #1
- 14-August 23, 2021
- 14-Resources
- 14-SQL Snippet #1
- 14-SQL Snippet #2
- 14-SQL Snippet #3
- 14-SQL Snippet #4
- 14-SQL Snippet #5
- 15-August 16, 2021
- 15-Resources
- 15-SQL Snippet #1
- 15-SQL Snippet #2
GA4 in BigQuery vs other analytics courses
Different analytics courses solve different problems. This one is about SQL on raw data.
| Course | Focus | Best for |
|---|---|---|
| This course | GA4 export, SQL queries, ecommerce and lifetime value | Analysts who want raw data |
| Analytics Mania Google Analytics 4 | Google Analytics 4 | Learning the GA4 interface |
| ConversionXL Google Analytics Master Course | Google Analytics | Conversion-focused analysis |
| Simo Ahava Server-side Tagging in Google Tag Manager | Server-side tagging | Improving data collection |
Who should take the Simo Ahava GA4 BigQuery course
- Digital analysts who need more than the standard GA4 reports
- Marketers who want to answer ecommerce and retention questions with SQL
- Ecommerce teams that want to calculate lifetime value and item-level performance
- Data people who need to join GA4 data with third-party sources
- Anyone who wants to understand the BigQuery export schema
- Query-by-query lessons with initial and final SQL
- Covers setup, costs, engagement, retention and revenue
- Advanced section with UDFs and schema flattening
- 15 Office Hours sessions with SQL snippets
- Taught by a well-known GA4 and tag management specialist
- Self-paced digital files; you must practise SQL yourself
- Requires a BigQuery environment and GA4 data to follow along
- Office Hours were recorded in 2022, so some screens may differ
- Large download of about 9.5 GB
Questions about Google Analytics 4 in Big Query
Do I need SQL experience?
The course starts with the BigQuery environment and your first queries, but basic data thinking helps. Initial and final queries are included so you can compare your work.
What topics does it cover?
Setup, events and users, engagement and retention, monetization and lifetime value, advanced queries and Office Hours sessions.
Does it cover ecommerce data?
Yes. You calculate ecommerce metrics by date, conversion rate by engaged sessions, refund, tax and shipping data, item-level analysis and lifetime revenue.
Are query costs explained?
Yes. A lesson in the Events & Users section covers query costs so you can work with BigQuery sensibly.
How is it delivered?
As digital files. Pay with crypto and delivery is handled manually after confirmation.
This is a specialist course, and it is better for it. Rather than repeating what GA4 reports already show, it teaches you to extract answers from raw event data: sessions, engagement, retention, revenue and lifetime value. If you work with GA4 and want control over your numbers, the structured SQL lessons are a strong investment.
Order it from Courses On Budget; a coupon is available on the coupon page. Download the files and start with the BigQuery setup section.
Digital files. Crypto payment only. Fast delivery is handled manually after payment confirmation. Download links remain available for 7 days; save your files locally.
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