[Practical AI Analysis in the Field] For those who need analysis right now <Not an analysis study lecture!>

This is a practical course designed to help you meet the standards and preparation strategies required in the rapidly changing developer job market. You will easily complete your projects and resume based on successful hiring cases. The course covers AI-integrated development workflows and practical, industry-focused project design methods. It clearly outlines the direction for creating portfolios and resumes that companies actually want. We provide practical preparation strategies to enhance your competitiveness in the job market.

This is our 'actual real-world workflow,' and we are releasing the 'onboarding video' used for planners and developers joining our company. It teaches you how to design service screens without a designer and create UX flows and prototypes even if you don't know Figma. Our company maximizes productivity by prototyping quickly during service planning to enable fast decision-making, finalize necessary features, and utilize them directly in front-end development. If the response is positive, I will upload more lectures on other "real-world workflows."

Easy and powerful data analysis anytime, anywhere! Simple with Orange 3, even if you don't know how to code!

API, framework, Git... We've collected difficult-to-understand development terms and explained them in an easy-to-understand way with examples!

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.

This course is designed for all learners, from those just starting with data analysis to those looking to apply it in practical work, to systematically learn the entire process of data processing and visualization using R. First, in the basic setup stage, we start with installing the development environment and learn how to create DataFrames and Series, building a solid foundation in the fundamentals needed for R programming. Next, we move on to learning core functions, focusing on hands-on practice with the most frequently used features in data analysis such as indexing, slicing, sorting, filtering, and handling missing values. After building the foundation, we expand to intermediate functions, intensively covering features essential for actual data analysis work such as date and time data processing, groupby operations, data merging (merge, concat), and function application (apply, lambda). Through this, you can develop the ability to handle complex data structures beyond simple data manipulation. Finally, in the visualization section, we cover various visualization techniques including line graphs, histograms, box plots, and time series graphs to learn how to express data more intuitively. Through visualization, you can also acquire the ability to effectively communicate analysis results. In particular, this course is structured not to stop at theoretical learning, but to allow immediate application of learned content through various examples and step-by-step practice. Therefore, students can naturally develop practical skills just by following the course and further secure data analysis capabilities that can be applied to actual projects.

This is our 'actual real-world workflow,' and we are releasing the 'onboarding video' used for planners and developers joining our company. It teaches you how to design service screens without a designer and create UX flows and prototypes even if you don't know Figma. Our company maximizes productivity by prototyping quickly during service planning to enable fast decision-making, finalize necessary features, and utilize them directly in front-end development. If the response is positive, I will upload more lectures on other "real-world workflows."

64 core stories from the Romance of the Three Kingdoms, handpicked by a strategy expert with 30 years of experience! We provide a 150-page 'Rule of Three' strategic framework that structures complex business issues into just three areas to design your victory. [The Blueprint for Victory Learned from Heroes of Turbulent Times] Did you feel you should read the Romance of the Three Kingdoms but felt overwhelmed by its massive volume and 1,200 characters? Or even if you read it, were you unsure how to apply it to real-world business? This lecture pierces through the entire epic while distilling only the 'Rule of Three' that can be immediately applied to modern business. 🎯 This lecture is for: Strategists/Planners: Those who want to design a 'structure for victory' that does not collapse amidst complex variables. Leaders: Those who want to win people over by mastering justification, practical interests, and timing. Beginners: Those who want to master the core plot and strategies of the Three Kingdoms all at once. ⚔️ What will you learn? An Unshakable 'Structure' (Risk Management): From Cao Cao's retreat tactics to Zhuge Liang's defensive formations, learn how to prevent the collapse of your foundation by optimally allocating resources. The Invisible 'Gap' (Strategy Formulation): Through cases like Lu Bu’s "empty house" raids and Guan Yu’s loss of Jing Province, master the art of timing to seize the initiative by capturing the opponent's weaknesses. The Irresistible 'Proposal' (Psychological Persuasion): Systematize negotiation techniques that completely win over opponents using the 'Justification-Profit/Loss-Deadline' frame extracted from Zhuge Liang's diplomacy. 💡 Our Promise After taking this course, you will possess a clearer strategic insight than someone who has read the Three Kingdoms three times. The stories are exciting, and the strategies are meticulous! Results are not left to luck; they are designed.

Strategic Resume Writing for Experienced Developers: Insights from an Interviewer Who Has Reviewed Thousands of Resumes ✅ Real insights from actual hiring decision-makers ✅ Strategies based on experience at both large corporations and startups ✅ Content specialized for server developers with 3+ years of experience ✅ "Interviewers are busy too" - How to win within 30 seconds ✅ AI is a tool, storytelling is the core

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.

Core muscles are invisible, but they are the backbone of our body. This lecture will teach you the fundamentals of marketing that will become the core muscles of your business.

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.

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

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.

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.

Now, with the power of AI, anyone can easily plan apps and design UIs! It's okay even if you don't know coding or have no UI experience. AI tools like Claude and ChatGPT will turn your ideas into reality. With just a few questions, you can analyze target customers, design app structures, and even automatically generate UI screens. In this lecture, we will teach you step-by-step from the basics so that even those who are new to Figma can follow along. Even without drawing by hand, you can import existing website UIs at once with the HTML to Design plugin, and with AI tools like Google Stitch or readdy.ai, you can create high-quality screens in a few seconds. This lecture is perfect for anyone dreaming of starting a business, wanting to switch careers to a planner, or wishing to communicate with developers. Instead of complex theories, we will only teach practical know-how that you can immediately use. Now, with just an idea, anyone can plan app services!

This is a training course for those preparing to become IT PMs, covering the entire process of an IT project from the sales preparation stage to implementation and stabilization. It explains practical terminology, tasks, relationship management, and crisis management to provide immediate help in the field.

6-Hour Complete All-in-One Course → Contains only essential services for immediate workplace application Practical AI Utilization Expert Program → Step-by-step learning from registration to advanced usage Carefully Selected Essential Workplace AI → Learn only the core essentials instead of 100 unused courses Monthly Latest Updates Provided → Never miss the changing AI trends Perfect Integration with Books → Lifelong AI learning possible without textbooks Latest AI Service List Provided (Notion) → Continuous expansion possible even after learning

A precise analysis of 300 cases applying the 'Rule of Three' within the story, from the Oath of the Peach Garden to the unification of the Three Kingdoms, presented in a 600-page PDF. - Perfect Structuring: Provides overwhelming readability by standardizing every episode into the format of [Original Quote - Rule of Three Analysis - Business Application]. - Vast Archiving: A comprehensive compilation of 300 key milestones across 100 years of history, from the Yellow Turban Rebellion in 184 to the unification in 280, without any omissions. - Practical Utility: Non-exclusive data that goes beyond simple reading material, ready for immediate citation as strategic evidence for proposals, lecture materials, and organizational management.

Customer analysis completed with Excel and Orange, from cross-selling to A/B testing and churn risk management all at once

[Systematization of Engineering Intuition and Intelligent Problem-Solving Methodology Roadmap] 1. Introduction: Shift in the Problem-Solving Paradigm (The Birth of the Problem Architect) The complexity of modern industry has reached a level that exceeds the cognitive capacity of individual engineers, clearly exposing the limitations of "troubleshooting," which is a simple reactive repair approach. To derive meaningful solutions in manufacturing and R&D sites where tens of thousands of variables are intertwined, it is essential to evolve into a "Problem Architect" who goes beyond solving occurring problems to eliminating the problem-generating structure itself at the design stage. This masterclass combines 40 years of engineering intuition with cutting-edge artificial intelligence technology to present specific intelligent problem-solving techniques that transform uncertainty into engineering necessity. 2. Step-by-Step Intelligent Problem-Solving Techniques (The Methodology) ① Data-Driven Causal Identification Technique: DMAIC 4.0 The traditional Six Sigma methodology—Define, Measure, Analyze, Improve, and Control—is advanced by combining it with the computational power of modern AI. Selection of Key Process Input Variables (KPIV): AI algorithms are utilized to extract key factors with actual causal relationships, rather than mere correlations, from among thousands of variables. Securing Statistical Consistency: We establish an analytical process that proves capabilities with a Process Capability Index (Cpk) of 1.33 or higher through data, realizing "zero defects through statistical necessity" rather than "accidental good products." ② Virtual Verification and Lead Time Reduction Technique: Zero-Trial Strategy To minimize physical trial and error, we introduce verification techniques in a Digital Twin environment, which perfectly replicates real-world processes in a digital space. Cost-Free Limit Testing: Optimal process conditions are derived by performing tens of thousands of simulations in a virtual environment without interrupting actual production lines or destroying prototypes. Multi-Agent System-based RCA: We apply a "time leverage" technique that innovatively shortens the lead time required for Root Cause Analysis (RCA) by deploying multiple AI agents that simultaneously perform search, reasoning, and cross-verification. ③ Logical Thinking and Knowledge Assetization Technique: Pyramid Narrative and Knowledge Graphs This is a knowledge structuring technique that ensures field problem-solving experiences do not remain in individual memories but spread as the intelligence of the entire organization. Pyramid Principle and SCQA Framework: By combining Barbara Minto's Pyramid Principle with the Situation, Complication, Question, and Answer (SCQA) structure, complex technical issues are reconstructed into logical narratives that management can immediately accept. Building Knowledge Graphs: Fragmented technical reports and drawing data are converted into a graph structure capable of real-time reasoning. Through this, an organizational learning system is established where problem-solving cases from a specific point are immediately propagated (Yokoten) to production bases worldwide. ④ Transparency-Based Decision Support Technique: Explainable AI (XAI) This technique involves verifying AI outputs based on engineering logic rather than blindly accepting them. Chain of Thought Visualization: By transparently disclosing (Glass Box) the step-by-step logical development process the AI went through to reach its final conclusion, the basis for decision-making is secured. Human-in-the-Loop Governance: AI serves as a Co-pilot suggesting optimal alternatives, while the system is designed so that the final trigger is approved by human engineering insight and ethical judgment. 3. Human-Centered Cognitive Sovereignty Acquisition Techniques As the automation rate of systems increases, active response techniques are required to prevent the decline of the cognitive capabilities of the humans operating them. Sandwich Workflow: Instead of delegating the entire work process to AI, a structural work technique is applied where humans preemptively occupy context design (Top Bun) and final value judgment (Bottom Bun) to prevent cognitive paralysis. RQTDW Learning Protocol: By mandating five stages—Read, Question, Think (confronting contradictions), Discuss (virtual debate), and Write—into the practical process, we reject simple acceptance of information and actively internalize knowledge into the brain. Intentional Cognitive Friction: To maintain a critical distance from the overly smooth answers provided by AI, an adversarial verification process using a Critique Agent is conducted. 4. Practical Application: Super-Gap Leadership for "Designing Out" Problems The ultimate maturity of problem-solving lies not in solving problems well after they occur, but in "Designing Out" the system structure so that problems cannot occur. Data Infrastructure and Autonomous Operation Design: We block the possibility of human error by building an autonomous operation system that ranges from real-time data collection to feedback loop-based correction. Organizational Intelligence: By converting individual expert know-how into standardized algorithms and knowledge graphs, we secure an upwardly standardized problem-solving capability for the entire organization. 5. Conclusion: Future Competitiveness Completed by Engineering Rigor While intelligence is manifested through AI technology, the vessel that contains that intelligence and makes it operate according to its purpose is only a rigorous and sophisticated engineering problem-solving methodology. This masterclass will move away from technology adoption that relies on luck or probability and present a path to becoming a "True AI Architect" who perfectly commands systems with data and logic. We hope you establish your status as a super-intelligent helmsman who dominates technology and eliminates problems.