Google Analytics 4 in Big Query Information

Are you ready to redefine your approach to data?

Query GA4 Data In Google BigQuery is a comprehensive zero-to-hero course designed to teach you everything you need to know about raw data access, query, and analysis. Enroll now to learn how to become more skilled, more curious, and more adventurous with data!

Welcome to our zero-to-hero course in Google BigQuery. This course will teach you all you need to know about SQL and Google BigQuery, and you’re going to use the popular Google Analytics 4 data export as the basis for your explorations.

Google BigQuery is a data warehouse solution running on the Google Cloud Platform. But it’s not just for storing data – as its name implies, BigQuery is all about querying the data in order to answer your most burning analytics questions. Once you get the hang of it, you’ll prefer it to anything that the analytics platforms themselves offer natively in their user interfaces!

We designed this course to cater to a number of different student profiles. The course has a linear ramp-up progression, beginning with very straightforward introductory lessons, before diving into the different aspects of BigQuery using real-world data and real-world use cases.

• If you work in an organization where GA4 is the leading web and app analytics tool, this course is for you.
• If you want to leverage GA4 data outside of the GA user interface, to join and enrich it with other marketing, CRM and contextual data, this course is for you.
• If you want to learn SQL in a meaningful way in the context of relevant marketing use cases, this course is for you.
• If you want to perform advanced analysis on your GA4 data, this course is for you.
• If you want to store your GA4 data in BigQuery (Google Cloud) and/or send it to your data warehouse in other cloud services like AWS, Azure, or Snowflake, this course is for you.
• If you want to visualize your GA4 data in tools like Data Studio, Tableau, Looker, or PowerBI, this course is for you.

The course comprises bite-sized, task-based video lessons, plenty of supportive materials and text content, quizzes to test your knowledge, and LIFETIME ACCESS to the material.

Task-based, bite-sized, self-paced video lessons

The course comprises 70+ videos, grouped into lessons. Each lesson captures some essential part of Google BigQuery.

The videos are mainly voice-over screen recordings, with enhancements to make it easier to follow along. The course is self-paced, and you can take it at your own leisure.

The videos are accompanied with an interactive English transcript as well as subtitles to help you follow along.

The individual topics always contain text content to help flesh out the concepts, and there are also SQL references for new concepts learned during the lesson, as well as code snippets you can copy-paste into the SQL editor of Google BigQuery.

You don’t have to worry about building your own GA4 dataset for this course. By enrolling, you will get access to a BigQuery GA4 dataset prepared specifically for this course. It contains real-world data against which you can build queries to solve real-world problems!

Quizzes, certificate, and lifetime access

After each section there will be a quiz to test your progress. After the last section, the quiz is the final quiz, which tests you on everything learned during the course.

Once you complete all course content, you will receive a certificate, which you can proudly share on social media and in your professional profiles.

As with all Simmer courses, upon enrollment you’ll receive lifetime access to the content and the Simmer Community. We update our courses periodically with new and updated content, and you will, of course, have access to all these updates, too.

There are also periodic office hours webinars which you are more than welcome to attend. If you can’t join live, a recording and a webinar log will be provided a few days after the webinar is over.

Here’s what you’ll get:

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

About Authors

Simo Ahava

Simo Ahava is THE leading global authority on Google Tag Manager.

He has served as Developer Expert for Google Analytics and Google Tag Manager since 2014.

Simo is as well-known for his popular blog as he is for his impassioned and entertaining teachings on tag management and data collection.

Hailing from Espoo, Finland, Simo is one of the co-founders of 8-bit sheep – a digital marketing and data strategy consultancy. He also founded Simmer with his better half, Mari Ahava, earlier this year.

Johan van de Werken

I’m Johan, your instructor

My name is Johan van de Werken. I live in the Netherlands (Utrecht area) with my wife and two daughters. I like my beer cold, my music loud, and whenever possible I unite these two hobbies by playing bass guitar in a band and attending concerts.

By day, I work at New10 as a Digital Analyst.

On the off-hours, however, I work on my claim to fame: the GA4BigQuery.com website, which is full of useful resources for working with Google BigQuery, especially when looking through the lens of the Google Analytics stack.

More courses from the same author: Simo Ahava & Johan van de Werken

Salepage: Google Analytics 4 in Big Query – Simo Ahava & Johan van de Werken

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