[ICT Archive] Big Data Core and Business Models

The program is structured with content including real estate development project financing, PF case studies, and other materials for smooth funding of real estate development projects utilizing project financing techniques. Through this, you can understand the overall execution of real estate development projects and enhance your capabilities in PF financing design, risk management, and feasibility analysis.

We help you understand the background and meaning behind the birth of Agile methodology, and inform you about the responsibilities and roles of each participant in Agile methodology. We also present the purpose and specific implementation methods of key practices along with various examples.

To enable office workers to actively and effectively use AI in their work, we provide various techniques for reducing 'Hallucination' (i.e., nonsensical) answers and accurately eliciting desired responses.

By understanding the overall procedures and flow of permits and approvals when undertaking real estate development, one can maximize practical applicability and promote successful real estate projects.

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.

We help you diagnose your self-leadership and teach you strategy development methods through self-leadership success cases. Through this, you can learn the roles and attitudes required as a professional employee and establish an action plan for success and achievement within your organization.

The structure and innovation methods of human resource loss, equipment loss, and material loss are presented in an easy-to-understand manner with various case studies. Through this, you can achieve increased productivity including production efficiency, system improvement, and diversification of individual capabilities.

We have structured relational leadership for building trust and expanding relationships with various case studies. We also provide integrated conflict management methods for constructive relationship recovery.

This is a course designed to improve your ability to successfully communicate your arguments and ideas in various presentation situations such as proposals, reports, and briefings. We hope that through this course, you will become a more competitive presenter.

We'll cover the most fundamental core principles of using Excel as a business tool. We'll teach you various Excel elements from the principles of Excel calculations to functions, formulas, aggregation, and filter utilization. The content is structured around how to construct formulas, understanding functions at the center of formulas, and methods for utilizing aggregation and filter features.

This patent guide is designed to legally protect the development achievements of universities, research institutes, and companies, and to secure exclusive technological competitiveness. Additionally, we provide efficient and competitive research and development directions through understanding intellectual property-based R&D trends and predicting technology gaps.

We provide comprehensive guidance on discovering, proposing, and transferring technology-based innovative products to business divisions, and inform you about the functions and roles of R&D, product development, marketing, and business divisions related to product development.

We provide strategic implementation plans that can offer direct assistance in performing duties, focusing on essential content that corporate education and training managers must know. We have also included methodologies and procedures for designing corporate human resource development systems, as well as content on recent applications of competency modeling and case analyses of educational systems through job analysis.

Based on comprehensive theories including job analysis procedures for job-centered human resource management, NCS job analysis, job analysis and performance management (KPI), and job-based pay systems, this content is structured in an easy-to-understand manner by combining various cases with issues that frequently occur in the field.

This is designed for practitioners in both public and private sectors who handle urban planning, development activities, maintenance projects, and licensing work to systematically understand the provisions of the National Land Planning Act and apply them in practice.

We aim to improve the Personal Skills and Work Skills of key talent. We provide solutions for growing into key talent, including fostering creativity and thinking skills, methods to enhance interpersonal relationship skills, and followership.

We provide you with comprehensive information on everything needed to manage partner companies. You can learn logical and rational selection and evaluation methods for partner companies, as well as various management techniques to ensure manufacturing quality from partner companies. Additionally, we help you improve your ability to systematically manage partner companies and maintain partnership relationships with them.

This course is designed to be easily understandable with various case studies covering quality strategy development, implementation, and goal monitoring techniques to achieve quality objectives under established quality policies. Additionally, it presents methods for recognizing and evaluating quality issues by converting them into monetary units, which are common management metrics, and is a process that can measure the accurate performance of current quality management systems through the introduction and operation of quality costs, while developing systematic and continuous quality cost management capabilities.

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

In the modern business world, data security and fraud prevention have become more important than ever. This lecture focuses on how to effectively detect and analyze fraudulent transactions using artificial intelligence (AI). Using Python and machine learning, we will build an AI model that can detect and detect anomalies in various industries, such as fraudulent transactions, credit card fraud, and production line abnormalities, early.

This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Learn about various recommendation algorithms such as collaborative filtering, content-based filtering, and hybrid recommendation systems, and develop practical skills for developing recommendation services!

We will provide information on 3D spatial information data acquisition and mapping methods using drones, LiDAR, etc., and data visualization tools and techniques based on the application areas of 3D spatial information data, incorporating various case studies.

🧩 Rather than focusing on complex formulas or theory-centric explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Through a total of 12 diverse and practical examples, we have progressively designed recommendation systems that can be utilized in real-world environments, including content-based recommendation, collaborative filtering, and deep learning recommendation.

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

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

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.

It's now an era where data speaks, not intuition. Learn data analysis easily with ChatGPT!

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.

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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.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

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

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

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.

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer). We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code. Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.