GA4 Google Analytics Ecommerce Setup Practice for Marketers (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!

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 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.

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.

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.

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.

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 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!

This is a Google Analytics lecture that allows you to practice by actually touching it to apply it, rather than a simple function listing lecture :)

Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

A DBA instructor with 30 years of experience teaches 45 essential SQL tuning techniques that can be immediately applied in practice through real-world examples. Master the practical know-how to make slow queries 10 times faster, from execution plan analysis to index optimization and join tuning!

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 introduce methods for planners and marketers without data analysis experience or technical skills to try data analysis at the most basic level, complete with various examples. Built on years of hands-on practice with over 2,000 participants in more than 100 companies and public institutions, the content is designed around the most practical analysis methods for data non-experts.

A practical sharing session on 'Blog-based Monetization' executed and verified by approximately 120 people over 4 weeks.

The Website, Funnels & Traffic Mastery Program is a comprehensive, execution-focused course bundle designed to help individuals and businesses build professional websites, create effective funnels, and drive consistent traffic that converts. This program connects website creation, traffic generation, and performance measurement into one complete growth system.

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

This sharing session vividly reveals the AI marketing video production process and know-how based on actual brand collaboration cases. Even if you have no video production experience at all, you can directly learn the entire process from planning to production, including which AI tools to use for creating marketing videos.

mongoDB, NoSQL You hear a lot these days, but is it still an unfamiliar database? Aren't you using it like a relational database (RDS/SQL)? No matter how good the technology is, if it's not used correctly, it will have the opposite effect. That's why we often see cases of failure in using MongoDB. This lecture will teach you everything from basic concepts to practical know-how so that you can use MongoDB as MongoDB-like as possible.

You will learn the overall process of developing and deploying a website through generative AI (ChatGPT, Cursor AI).

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

With v0, cursor AI, and various LLMs, from PRD to AI product recommendations! Complete your Next.js shopping mall through a practical project.

Work 100x Faster on Content Without Overtime! AI Practical Strategies to Complete Everything from Planning to Copy and Visuals with a Single Prompt Line

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

ChatGPT: How Far? Series, Stock auto-trading app & web inv. report creation!

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.