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 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.

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.

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.

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 basic/introductory course on digital marketing. It covers how to design digital marketing based on data and various practical cases. It contains stories and content that I want to share from my 14 years of experience in various fields of marketing, from digital marketing agencies to in-house marketers at large corporations. It is recommended for those who want to understand digital marketing in general.

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.

If you know that UT (usability testing) and user interviews are good, but don't know how to do them, gain confidence with this course!

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.

A 2-hour data literacy introductory course for marketers who give up on math and whose minds go blank when they see numbers

What is UX Writing and why is it so hot? Let's learn through various cases and UX design strategies.

This is a class called "Introduction to User Research to Practical Application" prepared for those who aim to get a job in UX/UI design and those who work as planners/designers in the field but have never done user research. It will help you develop basic skills in user research, one-on-one in-depth interviews, and practical usability testing skills so that you can conduct UX/UI projects that fundamentally solve users' problems, and ultimately lead you to become a competitive UX/UI job applicant.

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.

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

Anyone can learn data analysis with Chat GPT. You can learn how to apply it in practice through various analysis exercises. (Absolutely!! ChatGPT paid version is required!)

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.

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

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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

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 course provides UX principles and practical know-how necessary for planning and designing AI products. We will explore user-value-centered AI utilization methods, UX planning and design methods using AI, core UX principles and theories learned through everyday design cases, and UX research and data analysis methods for providing a better experience.

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

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.

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!

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