[ICT Archive] Big Data Core and Business Models

In line with this reality, it is structured to enable more efficient and advanced production management tasks, covering everything from production system design, production planning, to production operations and control, which are the core elements of production management.

It is systematically structured to allow for the comprehensive acquisition of everything from ensuring recruitment fairness to designing job competency-based structured interviews and the latest multi-faceted evaluation techniques, such as Behavioral Event Interviews (BEI), Presentation (PT), Group Discussion (GD), and Situational Interviews (SI).

By integrating AI and data analysis tools, we cover the entire sales pipeline process—from target company analysis and new lead generation to proposal negotiation and sustainable market expansion—with a focus on practical application. We provide next-generation sales and marketing execution strategies and frameworks that can be immediately applied in the field, drastically boosting your organization's revenue performance.

We reduce manual, simple analytical tasks and transfer an AI-based SCM decision-making system that directly leads to performance in actual logistics and production sites. We provide a practical framework that allows logistics and supply chain managers to immediately shorten decision-making time and reduce operational costs in the field.

We provide a comprehensive overview ranging from the basic concepts of additive manufacturing to Design for Additive Manufacturing (DfAM) for immediate field application, quality control, and Return on Investment (ROI) analysis. We present practical execution standards for real-world challenges, including determining build orientation, lightweight and lattice structure design, part consolidation, hybrid processes, quality verification, and ROI evaluation.

Based on an understanding of real estate finance mechanisms and tax trends, this course systematically covers the theory and practice of the entire real estate finance spectrum, ranging from housing finance and income-producing property appraisal to Project Financing (PF), the core of large-scale development projects.

It is structured to systematically master the necessary legal standards from the planning to execution stages by organically linking the three core laws—the Act on the Maintenance and Improvement of Urban Areas, the Building Act, and the Housing Act—which serve as the foundation for real estate development and renovation projects.

The course is structured to provide a systematic learning experience of the entire development process, ranging from the basic concepts of land and legal rights to the various licensing and permitting procedures that serve as key barriers to land development.

The course consists of a practical curriculum that can be immediately applied to the field, ranging from how to use the latest agent tools such as Genspark and Manus to corporate security guidelines. Through this, you can directly build an AI agent collaboration system that automates repetitive tasks such as information gathering, data analysis, and basic report writing.

This course is designed to help you master the entire process of real estate auctions, from the basics to the final distribution of proceeds, with a focus on practical application. It provides definitive practical solutions for developing independent auction analysis skills and ensuring successful, risk-free investments.

From asset management using proptech to AI-based intelligent logistics and transportation system analysis, and even profitable smart home models, we provide practical know-how to design real business revenue models using technology as a tool.

We present the optimal investment direction amidst complex economic indicators and a flood of real estate policies. Going beyond simple theory, we provide market analysis and forecasts across all sectors—from the impact of macroeconomic indicators such as GDP and inflation on real estate to land, housing, offices, and income-generating properties.

It covers 18 core themes, ranging from the basics of property law to the most challenging practical issues such as liens, statutory surface rights, and the opposing power under the Housing Lease Protection Act. It delves into the pitfalls of rights to be assumed upon sale or registrations restricting disposition—which are easy to miss due to a lack of expertise—and presents a standard model of rights analysis essential for practitioners.

This course systematically covers the fundamental principles of technology valuation and major evaluation methodologies, including the income, market, and cost approaches. In particular, it focuses on ensuring the reliability of evaluation results by providing detailed learning on core elements such as estimating technology life cycles, analyzing cash flows, and deriving discount rates and technology contribution ratios. Moving beyond theoretical understanding to include the use of web-based evaluation systems, it provides a practical guide for professionals to precisely measure the value of technology assets and immediately apply them to commercialization strategies.

We summarize the essential feasibility items that must be checked throughout the entire real estate development process, from the land acquisition stage to the final investment decision, from a practical perspective. We present methods for systematically classifying risk factors at each stage and analyzing them to diagnose the actual profitability and feasibility of the project. Through this, we focused on internalizing analytical capabilities to see through the intrinsic value of a project and derive the optimal direction for business promotion.

It provides a sharp analysis of the core changes in labor laws, focusing intensively on subcontracting structures and collective bargaining response scenarios that companies must review. By presenting specific guidelines that practitioners can apply immediately in the field, it offers optimal solutions to proactively protect management and property rights amidst an uncertain business environment.

This course covers professional quality inspection techniques to preemptively block and prevent quality issues occurring at manufacturing sites. It systematically presents core content that field practitioners must know, ranging from an overview of quality assurance to the theory and practical application of sampling inspection (KS Q ISO 2859), securing data reliability through instrumentation and Measurement System Analysis (MSA), and continuous quality improvement processes through inspection data feedback.

From organizational understanding to reporting techniques, I provide coaching on the real secrets to working effectively that no one at the office ever taught you. I will equip you with practical tools to master everything from personal branding for an irreplaceable presence and professional communication skills to documentation and time management all at once.

We show you how to scientifically block every potential gap for defects, from design to production. By establishing quality assurance systems, implementing Design and Process FMEA procedures, and applying process control technologies for stable quality maintenance, you can achieve the core field objective of pursuing zero defects.

This course provides comprehensive knowledge of human resource management for business operations and presents practical techniques in an easy-to-understand manner. It is designed to be immediately applicable in the field by combining real-world cases with methods for utilizing various HR systems, such as job analysis, recruitment, and performance evaluation.

Big data is being developed by integrating with various business areas. In particular, big data is useful for identifying the latest business trends. Therefore, after studying big data application cases in marketing, finance, and healthcare, we aim to learn how to extract data patterns through a technical understanding of big data platform construction and analysis techniques, and apply them to business. **Business environment analysis and new business creation through big data!** This is the beginning of the concerns for all professionals seeking new business environments in the era of the 4th Industrial Revolution.

An AI lecture without difficult terminology or difficult mathematical formulas! We help you understand AI theory through source code.

Based on the instructor’s experience of struggling when first learning machine learning, this course has been newly designed—unlike conventional courses—to help you understand machine learning easily and apply it to real-world problems.

This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Develop your practical skills for recommendation service development by learning various recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid recommendation systems!

Understand the core of big data business and provide insights on how to utilize it in marketing strategies in the field.

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

"Smart Factory—it sounds cool, but can't quite picture it in your head?" The news talks about the 4th Industrial Revolution and AI factories every day, but when you actually look for information, it's full of "alien languages" like PLC, MES, ERP, and Edge Computing. What non-majors need isn't a complex circuit diagram, but a 'map' that shows how the whole system works. This course strips away difficult engineering jargon and explains everything about smart factories through intuitive illustrations and analogies that anyone can understand.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

You will learn through hands-on practice everything from the basic usage of KNIME to advanced data analysis techniques, and acquire analysis skills that can be applied to actual data.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

If you ask an AI to "build a model with this data," the first few lines might look plausible, but as soon as things get slightly complex, it starts using the wrong columns, introduces data leakage, and results in a model that performs worse despite a higher score. This course does not teach you better prompts. Instead, it covers how to directly design a loop (harness) where an agent understands data, plans, writes code, validates its own results, and backtracks when wrong. After manually walking through the five-piece loop of DS-STAR, you will assemble components one by one, from data profile cards, hooks, and skill hierarchies to independent validators and ablation.

This course explains the basic concepts of LLM and GPT in an easy-to-understand way for everyone. Students will build their own chatbot using the GPT API and deploy it on the web using Streamlit. By experiencing everything from the basics to hands-on practice, you can build a solid foundation for your first steps in utilizing AI.

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.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

Essential certification for the AI era, MS AI-900! 🚀 Did you know? ChatGPT operates exclusively on Microsoft Azure! If you want to properly utilize Microsoft Azure OpenAI, which exclusively provides the latest GPT models, now is the perfect opportunity. Grow into an Azure AI services expert through the AI-900 course and master enterprise-grade AI solutions that companies trust. Secure global official certification and enhance your competitiveness as a true AI professional!

You will learn about Transformers inside out by directly implementing everything from Multi-Head Attention to the Original Transformer model, BERT, the Encoder-Decoder-based MarianMT translation model, and the Vision Transformer in code.