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.

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.

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.

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.

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.

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

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.

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.

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.

Search Engine Optimization & Google Analytics Mastery is a practical, results-focused program designed to help you grow websites through organic search and measure performance with precision. This bundle combines SEO strategy, Google Analytics 4, and Google Tag Manager to give you a complete system for attracting the right traffic and making informed decisions based on real data.

Learn about UX design concepts, UX design process, and UX research methods.

Master the core of heuristic evaluation and usability analysis! You can compare and analyze your company's and competitors' designs, and develop the ability to efficiently identify problems. Significantly improve design quality with expert UX evaluation skills immediately applicable in practice!

"In such a busy world, you can create a portfolio quickly using AI?" From problem definition to research synthesis, ideation, and prototyping! Use AI as your practical partner to quickly build a high-quality UX/UI portfolio. You can strategically utilize not only the latest AI tools but also proven tools consistently used in the industry to fit your project.

"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).

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 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.

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.

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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

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.

Data Warehousing is one of those topics that many people have heard of, but few truly understand at a conceptual level. This course is designed to provide a clear, simple, and practical introduction to Data Warehousing without excessive theory or the complexity of specific tools. Rather than focusing on a particular technology or vendor, this course explains how to think about Data Warehousing, why it exists, and how data moves from transactional systems into analytical structures that support business decision-making. We begin by understanding the limitations of transactional databases and why organizations need analytical systems as they grow. Next, we examine the nature of raw transactional data, how a single business event is distributed across multiple tables, and how this data is transformed and modeled within a Data Warehouse. Core concepts such as facts, dimensions, grain, star schema, and snowflake schema are explained step-by-step through clear examples and visual explanations. You will also learn how data reaches the Data Warehouse through ETL or ELT processes, why transformation is necessary, and how incremental loading actually works. The course also introduces how business users access Data Warehouse data through reporting and BI tools, including practical examples using Excel and pivot tables. To keep the content focused and easy to follow, this course is delivered using animated explanations and concise audio narration. The total video length is intentionally kept short, allowing you to understand the fundamental concepts of Data Warehousing clearly and efficiently. This course is ideal for those new to Data Warehousing, those working with data who want a more solid conceptual foundation, or anyone who wants to understand how analytical systems are designed before moving on to more advanced or technical implementations.

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.