Data Classes for High-Performing MDs

What's important is not coding, but data literacy! Let's learn the core procedures of data analysis with practice using Orange3, a no-coding tool.

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.

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

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.

This course is not a training course that explains the functions of Excel, but a course that uses Excel examples used in actual work settings to learn which functions to apply in each situation to perform tasks most quickly and efficiently.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

This course will help you strengthen the core of your business marketing by teaching you how to leverage data to find marketing insights.

In this course, you can learn a wide range of topics, from basic Excel functions to advanced formulas, data visualization, and dashboard creation, with a focus on hands-on practice. By providing templates and solution files, self-study is possible, and you can maximize work efficiency by mastering data analysis skills that can be immediately applied in real-world scenarios.

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.

We cover the data literacy required to become an organization/individual that handles data well, as well as the basic theory of data visualization. Build a solid foundation to utilize data “well.”

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 course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

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.

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.

Understand the essence of the job market through economic and statistical concepts, and redesign employment and career-change strategies as data-driven probability problems rather than relying on intuition or "spec" (credentials) competition. Instead of simply accumulating more credentials, this strategy shifts the "playing field" to a rational recruitment market by using AI to directly collect and analyze job postings and corporate data to select markets and openings with a high probability of success. By utilizing AI as a tool built upon core economic and statistical concepts, we systematize document, interview, and application strategies, presenting a way for even non-majors to develop a data-driven employment mindset. Furthermore, we provide a method for non-majors to directly implement a 24-hour AI recruitment assistant—which can be used immediately as a portfolio piece—through AI-based "Vibe Coding."

Through this course, learners can develop the ability to obtain a Computer Application Skills certification. This course is structured according to the examination standards as a preparation course for acquiring the Computer Application Skills certification. You can learn and apply basic knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Written Exam - Spreadsheet General)

A practical beginner course that completes SQL fundamentals in just 3 hours

We provide an Excel template and instructional video for calculating product costs for your company. It is ready for immediate practical application.