GA4 Looker Studio Practice for Data Analysis (2025)

This is a specific and practical course for Google Analytics beginners. Instead of focusing on fragmented features, you can learn the practical analysis process using GA4 by conducting scenario-based analysis. It is continuously being updated to match the latest GA4 revisions!

Introduces methods for utilizing GA4 data in Bigquery. Using the GA4 Bigquery demo data publicly available in Bigquery from the Google Merchandise Store (https://www.googlemerchandisestore.com/), we introduce methods for marketers and planners to easily utilize GA4 Bigquery data, along with hands-on practice of basic SQL queries.

You can learn to apply GA4 directly in practice by building core reports for its utilization. You will learn concrete examples of which reports to create for data analysis and how.

This is a Google Analytics utilization course for beginner/junior marketers. You can follow along and practice using Google Analytics, Google Tag Manager, Google Optimize, and Google Data Studio.

This is a course for PMs who want to utilize data. This course covers the entire process of utilizing data in the PM role, including the flow of work from day 1 of a job change through the start and end of a project. It is an introductory data course that covers data-driven thinking, logical thinking, metric definition, log design, experiment design, creating a data culture, and more, to help you develop critical thinking skills. Although created as a course for PMs, it is structured with content that data analysts would also find beneficial (in fact, many analysts have taken the course). In addition, many people in marketing, design, and business planning roles are also taking the course.

This is a specific and practical course for Google Analytics beginners. Instead of focusing on fragmented features, you can learn the practical analysis process using GA4 by conducting scenario-based analysis. It is continuously being updated to match the latest GA4 revisions!

You can learn to apply GA4 directly in practice by building core reports for its utilization. You will learn concrete examples of which reports to create for data analysis and how.

Introduces methods for utilizing GA4 data in Bigquery. Using the GA4 Bigquery demo data publicly available in Bigquery from the Google Merchandise Store (https://www.googlemerchandisestore.com/), we introduce methods for marketers and planners to easily utilize GA4 Bigquery data, along with hands-on practice of basic SQL queries.

No need for developers! It doesn't matter if you don't know development. I'll show you how anyone can easily install GA4 with just a few clicks.

We cover the data literacy required to become an organization/individual that handles data well, as well as the basic theory of data visualization. Build a solid foundation to utilize data “well.”

Learn the problem definition and hypothesis formulation process, core competencies for data analysis!

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!

Data Analysis that Determines Online MD Performance! Learn essential data analysis and strategy formulation techniques necessary for MDs to maximize sales and profit in the e-commerce market.

This is a special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

Repetitive pipeline management in Data Warehouses (DW), now free yourself from that painful cycle with dbt! Building on the efficiency provided by dbt, become a data analytics engineer who creates higher value through business-centric data modeling, effective data lifecycle management, and more.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.