[AI Cheat Key] AI Visualization That Brings Even Ordinary Data to Life

This is a practical “vibe coding” course in which you collect and analyze data and even fully complete a visualization dashboard simply by conversing with AI, instead of using complex programming syntax or entering difficult code. It eliminates the tedious work repeatedly wasted on manual data processing and writing reports and proposals by solving it all with just “one conversation” with AI, while automatically generating analytical reports and presentation-ready PPTs at lightning speed. You will master a complete workflow that can be easily shared with one click.

Even non-developers and marketers with no coding experience can use “vibe coding” technology to verbally explain their ideas to AI and create practical campaign pages and mockups themselves. This completely eliminates the workflow bottleneck of having to wait a week at a time for feedback and development schedules from the development team after writing a project proposal, enabling them to complete fully functional pages on the spot through conversation alone during meetings. Furthermore, they can easily build survey apps where user responses actually work and are saved, along with integrated databases, then deploy them to real URLs and share them with team members and customers with one click to validate ideas at lightning speed.

Build customized solutions ready for immediate use in sales and customer service through “vibe coding,” a technology that lets you create business tools by describing the desired functionality in words without typing a single line of code. Learn practical techniques for completing repetitive tasks—such as writing proposals and quotes, replying to emails, and organizing handovers—in just 10 minutes by conversing with AI. Create a practical app with automatic quote calculations and PDF saving, then master the complete workflow by deploying it to a publicly accessible URL and sharing it with your team or customers with one click.

Even when AI provides sophisticated answers, the final judgment and persuasion ultimately remain human domains. This content explores smart decision-making formulas for professionals lost amid information overload and choice fatigue. Combining principles of behavioral economics, message framing, and trust-relationship design, it presents practical persuasion strategies that move audiences at real business touchpoints—such as reports and proposals—through engaging illustrated examples. Learn to read the emotions and context beyond the data and establish people-centered decision-making criteria that work immediately in the field.

A Black-and-White Survival Game That Breaks Through Ambiguous Gray Areas! Preventive Training That Clearly Defines the Boundaries for Determining Sexual Harassment "Is This Kind of Joke Really Okay?" Through the sharp judgments of the black squirrel and white squirrel judges, we provide a clear diagnosis of the ambiguous boundaries encountered in the workplace. Covering everything from gender sensitivity and the legal requirements for establishing sexual harassment to responses to actual incidents and available remedies, this training proactively prevents your organization’s legal risks and helps build a horizontal, healthy workplace culture founded on mutual respect.

Office Security Survival! Workplace Survival Strategies Learned from Real-World Cases New security threats are rapidly increasing in everyday work environments, including the expanded use of generative AI, the spread of remote and hybrid work, and the leakage of core technologies during job changes. This course integrates information security, personal information protection, and industrial security into a single package, systematically covering everything from essential practical knowledge to the latest threats of technology leakage. Through scenario-based simulations centered on real security incidents and legal precedents, the course maximizes employees’ security awareness. Going beyond simply understanding regulations, it develops the practical ability for employees to identify security risks at their own points of contact with work and respond to them wisely.

Records remain, and responsibility grows! Everything about digital ethics that protects the workplace This course explores digital hate, digital sex crimes, and the risks of using AI that can actually occur in the workplace through case-based stories, clearly explaining what the problems are and how to prevent and respond to them. It firmly establishes the standards of digital ethics that today’s employees—who communicate digitally and use AI as part of their everyday work—urgently need, including how to work while respecting one another in digital spaces and how to use AI more safely and responsibly.

A New Framework for Human-AI Collaboration to Amplify Human Thinking How should AI be utilized to maximize the amplification of human capabilities? On this new stage of creativity, what criteria should govern human-AI collaboration? Furthermore, how should jobs and workflows be designed? This course presents a new framework and execution strategies to answer these questions.

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

AI Finally Gets a Body - What is My Survival Strategy in the Age of Robots? Physical AI is not just about robots. It is an overthrow of the economic paradigm created by the grand convergence of artificial intelligence, robotics, and energy technology. This course explores various perspectives, from the background of Physical AI's emergence to the strategies of global big tech, hardware sovereignty, and future social issues such as robot taxes, basic income, and global inequality.

The rules of every game are changing — a new dimension of business opened by quantum computing. Moving beyond simple technological advancement, quantum computing has already emerged as a key variable determining the future business landscape, poised to shift paradigms across all industries. This analysis provides insightful perspectives on the massive wave of technological change, covering everything from the basic principles of quantum computers to innovation cases in finance, pharmaceuticals, security, and the strategic moves of global Big Tech. It offers the most definitive roadmap for professionals who wish to gain quantum literacy without complex physics knowledge and transform into future-ready talent.

Reading the Standard of Digital Money — A New Financial Order Opened by Stablecoins In the uncertain digital asset market, stablecoins—the only assets that function "like real money"—have already emerged as a core part of the global financial infrastructure. This provides essential, condensed knowledge for professionals who want to be at the forefront of understanding the paradigm shift in the digital economy.

Ideas you've only been thinking about—now AI will complete them with code. Learn the process of implementing ideas into code using Cursor AI and Claude Code. This is a practical AI coding introductory course where even non-majors can complete projects on their own.

In the era of AI, the capabilities of planners are being redefined. For all planners who wish to develop the practical skills to integrate AI into existing services or design completely innovative new services, this course provides specific guidance on 'feasible methods and paths.'

You can become a presentation master by using AI well! Presentation skills are essential in the workplace and business. However, completing great planning, sophisticated design, and effective delivery requires a lot of time and effort. Through this process, presentation preparation will no longer be a burden but will transform into an enjoyable experience.

This course covers the importance of information security and personal data protection, providing systematic learning from essential knowledge needed in practice to the latest security issues. Based on the practical experience and expertise of personal data protection specialist instructor Jo Ah-young, it provides realistic education with a sense of field experience.

Just make it do it. n8n does the work - Practical workflows to save 1 hour a day with automation tools Get AI tool utilization + prompt engineering + practical automation sense all at once.

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.

Even if you don't know coding, you can read data—everything about no-code AI analysis that makes work sense explode! From marketing to HR and quality management—we'll make your work sense explode with AI.

Even if you don't know coding, you can read data - everything about no-code AI analysis that makes perfect sense! If you can use Excel, PPT, and Google Sheets, AI will now handle data analysis for you.

This course systematically covers everything from basic data concepts to advanced analysis techniques, designed to equip learners with data-driven decision-making capabilities. First, you'll understand the concepts and characteristics of data, information, knowledge, and insights, examine types and examples of structured, semi-structured, and unstructured data, and learn what role data plays in actual business management and analysis. Next, you'll learn the differences between nominal, ordinal, and categorical data as well as discrete, continuous, and numerical data, and grasp the flow of modern data utilization through the data lifecycle, the background of big data emergence, its effects and characteristics. You'll also learn big data-related technologies and interpretation perspectives, importance, and basic exploratory data analysis (EDA) methods to avoid interpretation errors. Finally, you'll cover the fundamentals of statistics, learning descriptive and inferential statistics, probability and probability distributions, events and sample spaces, discrete and continuous probability distributions, and acquire methods to transform data into valuable knowledge through data mining techniques. Through this course, learners will develop analytical capabilities that go beyond simple data understanding to solve real problems and formulate strategies.

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.

This content provides basic instructions on how to visualize data using Tableau Public. It is designed to be easily accessible for non-data majors to follow along, and it guides you on how to create effective reports through visualization charts that can be applied immediately in practice.

Digital transformation (DX) is not a choice but a necessity. This course serves as the first step in digital transformation for all employees, providing easy and clear explanations from core DX concepts to business innovation cases. Don't fall behind in this changing era—develop the power to grow yourself and lead organizational innovation! Please don't overthink this lecture and take it with a light heart.

This is a detailed and practical course for Google Analytics beginners. Rather than just covering fragmented features, you can learn the actual analysis process using GA4 through scenario-based analysis. It is continuously being updated to reflect the latest GA4 changes!

Is it enough to just search for past exam questions and pass the Google Analytics Individual Qualification (GAIQ)? A certification holds little meaning if you obtain it without knowing how GA4 is actually used in practice or how to query and utilize data. This course focuses on practical application, allowing you to directly examine reports and GA demo accounts, and even set up a demo shopping mall yourself. You will build the skills necessary for the field while solving the latest 2026 GAIQ exam questions.

Have you always given up on household accounting after just three days, found Excel tedious, and felt that investment strategies were just too difficult? This is a practical course designed to help you manage your income, expenses, and assets as data with AI—even without extensive financial knowledge. AI will analyze and interpret your data, ultimately helping you create 'your own AI financial advisor' to make your own money management decisions.

Just make it do it. n8n does the work - Practical workflows to save 1 hour a day with automation tools Get AI tool utilization + prompt engineering + practical automation sense all at once.

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

A DBA instructor with 30 years of experience teaches 45 essential SQL tuning techniques that can be immediately applied in practice through real-world examples. Master the practical know-how to make slow queries 10 times faster, from execution plan analysis to index optimization and join tuning!

[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.

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 NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

The most definitive way to build the backbone of your data No more fragmented knowledge. From DAsP (Data Architecture Semi-Professional) certification to practical modeling skills, this is the single most perfectly structured masterclass. "Are you still relying on piecemeal memorization for data modeling?" The ability of an 'architect' to translate complex business requirements into clear data structures is the most irreplaceable weapon in the IT ecosystem. This course goes beyond simply passing a certification; it provides practical insights to see through the enterprise-wide data flow.

Revolutionize your stock investing with AI! In this course, you will directly build a functional AI automated trading system targeting the top 25 Nasdaq stocks. We provide a special opportunity to gain experience and know-how through mock trading using the Korea Investment & Securities API, and then transition to AI automated trading with a real account. Even stock market beginners will have no problem. We explain basic stock concepts and the reasons why you should invest in US stocks in an easy-to-understand way, while providing all source codes and even remote support. From now on, investing is essential for the next 60 years of our lives. Create your own AI investment partner to join you on this journey!

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

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

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.

Students who want to learn Hadoop and Big Data will celebrate the amazing advancements in experiencing the world of Big Data through this course!

AI agents can fail due to various reasons, including data errors, security threats, increasing costs, and system integration issues. This course examines major obstacles and failure cases that occur during the AI agent implementation process and explains practical strategies for design, inspection, and operation to prevent them. Through this, you can understand the risks and limitations of AI agents and establish appropriate implementation directions and stable operational standards for your organization.