This is a class called "Introduction to User Research to Practical Application" prepared for those who aim to get a job in UX/UI design and those who work as planners/designers in the field but have never done user research. It will help you develop basic skills in user research, one-on-one in-depth interviews, and practical usability testing skills so that you can conduct UX/UI projects that fundamentally solve users' problems, and ultimately lead you to become a competitive UX/UI job applicant.

In this lecture, we will look at service planning and design methodologies for planning services in the IT/tech field, as well as various soft skills that service planners must have. Finally, we will analyze the service using the example of an AI voice recognition service, a UX service introductory lecture for beginners.

"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).

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.

This is an applied web planning course that will teach you how the basic web planning course is applied to mid-to-large-scale projects and applied to practice. Students can master the skills and practices of each stage of web planning in the big data field. <<This VOD is a recording of an actual class and includes some sounds such as small talk, so please keep this in mind when purchasing~!>>

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.

From problem definition to research synthesis, ideation, and prototyping! Use AI as your practical partner to quickly create a high-quality UX/UI portfolio. You will learn to strategically utilize both the latest AI tools and proven tools consistently used in the industry to fit your project.

I will show you how to use Microsoft Clarity to identify problems based on actual user behavior and organize them into actionable insights by connecting filters, segments, funnels, Smart Events, and Custom Tags. I have included the exact methods I use in practice alongside GA4 to quickly pinpoint the causes of churn or low conversion and prioritize improvements. The guide is structured in a flow of "Installation → Analysis → Insight Derivation Process → Advanced Settings," making it easy for beginners to follow. (For those who need it, I have also included sections on a demo shopping mall and basic GA/GTM setup.)

This lecture is for those who are aiming to become PM (Project Manager) and those who have become PMs without sufficient preparation. We will help students accurately understand the role and scope of work of PM, understand the entire IT project process, and then perform the performance skills for each process well based on vivid experiences in the IT field. In addition, we have prepared the lecture so that it can be applied immediately to actual work by providing samples of documents that PMs write or manage among IT outputs.

This course is for those who want to study machine learning but lack statistical knowledge.

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

The goal is to cultivate a full-stack perspective that allows individuals to lead the entire product lifecycle, covering everything from research automation and backend data integration to the deployment of live dynamic websites. We empower those who want to strengthen their competitiveness in the AI era by providing the ability to use these tools as a powerful engine to turn ideas into reality.

We will study AX (AI Transformation) strategies that go beyond simply utilizing AI tools to fundamentally redesign an organization's work processes and decision-making systems. We will analyze AI transformation cases from global companies across various industries, such as retail, finance, and healthcare, and establish actionable strategies and roadmaps applicable to our organization.

Learn the core functions of SPSS in a short period to pass the Social Survey Analyst Level 2 practical exam. Master SPSS know-how along with problem-solving techniques—ranging from data entry to descriptive statistics, cross-tabulation, t-tests, ANOVA, and correlation/regression analysis—to perfectly prepare for the practical exam.

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.

ADsP Summary + Past Exam Solutions. Reflects August 2025 46th Exam! (Continuously Updated!)

ADsP Certification All-In-One Course! Ultra-Short Completion! Reference Book: "Everyone's ADsP Cheat Sheet" https://wikidocs.net/book/18829

It enhances understanding of data analysis through working with real-world data and covers basic methods of analyzing data.

This is our 'real-world workflow', and we are sharing an 'onboarding video' for planners and developers joining our company. It explains how to design service screens without a designer, create a screen UX flow even without knowing Figma, and build a prototype. When planning services, our company rapidly creates prototypes to enable quick decision-making and finalize the necessary features, then makes them ready for use in frontend development, allowing us to maximize productivity. If the response is positive, we will upload other courses on our "real-world workflow.&quot

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.