Practical Google Analytics (GA4+GTM) for Practitioners (2025 Update)

You can learn the core concepts of GA4 (Google Analytics) e-commerce setup, which is too difficult to learn on your own by searching the internet, through hands-on practice. Performance marketers and beginner developers who are setting up GA4 e-commerce for the first time can easily understand by practicing step-by-step setup on a cafe24 demo shopping mall. Since the developer's role is handled by chatgpt during the practice, marketers and PM/planners without specialized development knowledge can also learn about GA4 e-commerce setup.

You can learn to use GA4 immediately in practice while creating essential reports for GA4 utilization. You can learn specific examples of what reports to create and how to create them for data analysis. For practical analysis, the installation and usage of Microsoft Clarity, a heatmap tool, is also explained together.

I'll show you how to use Microsoft Clarity to identify problems based on actual user behavior, and connect filters, segments, funnels, Smart Events, and Custom Tags to organize them into actionable insights. I've included the exact methods I've used in practice to quickly pinpoint causes of drop-offs and conversion declines by combining Clarity with GA4, and to prioritize improvements. It's structured in a "Setup → Analysis → Insight Generation Process → Advanced Settings" flow, so even first-time users can follow along. (For those who need it, I've also included sections on demo shopping malls and basic GA/GTM setup)

Learn various features of Looker Studio (formerly Google Data Studio) using GA4 demo data. This includes explanations and hands-on practice with Looker Studio's visualization elements. In particular, marketers and planners who are not familiar with SQL can learn easy ways to integrate and use BigQuery data with Looker Studio. You can learn methods to create dashboards using Looker Studio.

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.

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.

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.

In the cookie-less era, how will marketing change? If you don't know how to start marketing performance analysis, attend the November seminar.

Have you switched to GA4 but feel lost on how to use it? By learning three principles for effective data viewing and practical GA4 examples, you can immediately apply them to your work starting tomorrow!

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.

Practitioners who are curious about how other companies conduct funnel analysis, gather here! Meet the case of the global No. 1 alarm app, ‘Alarmy’, with 75 million cumulative downloads.

This is an introductory BigQuery (SQL) course for beginners. Recommended for those curious about data processing methods. We teach SQL from a data analysis and data engineering perspective rather than a backend development perspective.

This is packed with things I want to tell junior PM/POs who are struggling because they don't have a good mentor. I will generously share various techniques and Mental Models used by effective PM/POs.

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

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.

Hi Guys. Welcome to my Ultimate Google Tag Manager Course: Beginner to Advanced! In my course you will learn everything about Google Tag Manager. I have created video lessons on every feature of Google Tag Manager. You will get to see the real practical implementation of how to use every feature of this product.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

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

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.

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

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.