Looking into your data with Mixpanel

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'll show you how to use Microsoft Clarity to identify problems based on actual user behavior, and connect filters, segments, funnels, Smart Events, and Custom Tags to organize them into actionable insights. I've included the exact methods I've used in practice to quickly pinpoint causes of drop-offs and conversion declines by combining Clarity with GA4, and to prioritize improvements. It's structured in a "Setup → Analysis → Insight Generation Process → Advanced Settings" flow, so even first-time users can follow along. (For those who need it, I've also included sections on demo shopping malls and basic GA/GTM setup)

Instead of just "studying" SQL or Python, you will learn how to ask the essential questions needed for your service/business growth right now and immediately extract everything from analysis to insights and execution strategies. While working as a tech lead and taking on the role of a PO, I found a need for growth data analysis, and by applying this method to actual work, I significantly improved the speed of decision-making and execution. In this course, I have organized everything—from question templates used in the field to deriving actions through funnel, conversion, and churn analysis—so that you can apply it just by following along.

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.

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

If you are thinking about using data in your work, get some great tips from this 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

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!

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.

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.

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.

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 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.

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.