시작하는 PM/PO들에게 알려주고 싶은, 프로덕트의 모든 것

Have you ever felt frustrated when you were creating a B2B product and there was no content covering it? I will explain the similarities and differences between B2B and B2C products in an easy-to-understand way based on your actual career.

Learn SQL not through listing grammar like SELECT and WHERE, but by solving business questions like "What are recent sales?", "Who buys more?", and "What are the Top 5 products?". Practice hands-on in a free environment (BigQuery Sandbox + Looker Studio) and complete analysis results with dashboards. You can gain practical data analysis thinking along with SQL fundamentals without getting bored.

Based on an accurate understanding of black consumers, appropriate countermeasures and strategies are acquired, enabling effective response to black consumers. Furthermore, it is designed to enhance the professionalism of service staff and improve job satisfaction.

Experimentation and A/B testing are essential skills in CRM marketing and growth marketing practice. Both PMs and POs must repeatedly conduct experiments and A/B tests in growth marketing and CRM marketing campaigns to maximize performance and efficiency. In fact, when PM and PO roles establish CRM marketing strategies based on experimentation and A/B testing, they can simultaneously achieve data-driven growth marketing performance and cost efficiency.

We explore the limitations of LLMs, methods to overcome them, and the latest research topics.

If you're wondering what UX Writing is and why it's important, you'll find out by looking at examples of successful apps.

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

This is a replay of our sixth webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning data or learning tools, spend it finding the information you need from your data.

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.

A must-have course for designers, service planners, and PMs who want to do their jobs better! We will teach you what you need to know for each digital product, industry, and user journey based on real-life cases.

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.

This is a practical lecture on operational tools & back office and data analysis planning, which are tasks handled by game planning, service planning, and business PM positions.

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.

We will examine methods for collecting and analyzing user requirements to plan LLM services.

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.

AI is now a common challenge that all generations face. This course explores ways to transform AI into a language of communication and collaboration, transcending the differences in perspective between XYZ generations.

Problematization (문제화) is a term also translated as problem posing, problem framing, problem setting, or problem definition. This concept involves questioning known facts (like requests or common sense) from a new perspective, defining the problem, and devising methods to solve it. Problematization should be the starting point for all development, yet it remains insufficiently discussed within the field. Performing projects or developing programs is, in essence, planning to solve problems. This means they are related to problematization. To solve a problem, it must first be clearly defined. However, problems are mostly presented as vague requests. Therefore, the ability to transform vague requests into clear problems is essential to reduce unnecessary 'development waste,' facilitate smooth collaboration, and accurately grasp users' true needs. This lecture helps train 'the thinking of problem construction' through practical examples and tools.

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 a practical guidebook for game business PM job seekers. Starting with the scope of work that business PMs do, we will teach you practical concepts such as BM analysis and improvement proposals, event planning, operation tool planning, indicator design and analysis, and how to write a portfolio.

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.