The Problem Definition for Data Analysis That SQL Lectures Don't Teach

For beginner planners/PMs who are about to launch their first product, we will teach you the know-how of writing test cases and practical QA know-how.

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.

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 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.

Big data era!! Statistics are essential for analyzing and utilizing data! Let's look at basic statistical common sense that can be used to extract and utilize insights on customers and markets.

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 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 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 replay video of the ninth webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.

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.

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.

You can learn to apply GA4 directly in practice by building core reports for its utilization. You will learn concrete examples of which reports to create for data analysis and how.

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.