How to Use Google Analytics for Practitioners (GA4+GTM) (2025 Update)

You can learn the core essentials of GA4 (Google Analytics 4) e-commerce setup—which is often too difficult to learn alone just by searching the internet—through hands-on practice. This course is designed so that performance marketers and beginner developers setting up GA4 e-commerce for the first time can easily understand it by practicing step-by-step on a Cafe24 demo shopping mall. Since we delegate the developer's role to ChatGPT during the practice sessions, even marketers, PMs, or planners without professional development knowledge can learn how to set up GA4 e-commerce.

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.

Is it enough to just search for past exam questions and pass the Google Analytics Individual Qualification (GAIQ)? A certification holds little meaning if you obtain it without knowing how GA4 is actually used in practice or how to query and utilize data. This course focuses on practical application, allowing you to directly examine reports and GA demo accounts, and even set up a demo shopping mall yourself. You will build the skills necessary for the field while solving the latest 2026 GAIQ exam questions.

I will show you how to use Microsoft Clarity to identify problems based on actual user behavior and organize them into actionable insights by connecting filters, segments, funnels, Smart Events, and Custom Tags. I have included the exact methods I use in practice alongside GA4 to quickly pinpoint the causes of churn or low conversion and prioritize improvements. The guide is structured in a flow of "Installation → Analysis → Insight Derivation Process → Advanced Settings," making it easy for beginners to follow. (For those who need it, I have also included sections on a demo shopping mall and basic GA/GTM setup.)

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

You can learn how to use GA4 in practice by creating core reports for GA4 utilization. You will learn specific examples of which reports to create and how to create them for data analysis. For practical analysis, it also includes instructions on how to install and use Microsoft Clarity, a heatmap tool.

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.

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.

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

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.

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.”

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

Understand the data structure of Google Analytics (GA) and learn reporting features.

No developers needed! No coding knowledge required. I'll show you how anyone can easily install GA4 with just a few clicks.

"Have you given up on data analysis after only studying the tools?" PMs at large corporations only need to look at the data already implemented by the analysis team. However, PMs at startups or side projects are different. They must build the 'foundation' themselves—from designing logs and labeling them to collecting the data. "Everyone says data is important, but what exactly should I implement and where in my service?" Stop getting lost in abstract concepts. Checking login history is the true beginning of Data-Driven Decision Making (DDDM).

I have packed this with everything I want to tell junior PMs/POs who are struggling due to a lack of good mentors. I will generously share various techniques and mental models used by high-performing PMs/POs.

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 course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

This course is designed for those aiming to obtain the Data Architecture Semi-Professional (DAsP) certification. It provides a simple and systematic overview of essential exam topics, ranging from basic data architecture concepts to data modeling, data quality, and governance. The curriculum is structured to minimize complex theories and focus on frequently tested concepts, making it accessible for non-majors and beginners to learn without pressure. Build your fundamental skills in understanding data structurally while preparing for the DAsP certification.

Hi Guys. Welcome to my Ultimate Google Tag Manager Course 2026: 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.

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!

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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone