[ICT Archive] Big Data Core and Business Models

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.

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.

It is structured around practical guidelines for HR and labor managers, covering human resources, labor, wage, industrial accident, retirement, and employment management. Additionally, it offers solutions to various HR and labor legal issues frequently encountered in businesses, integrating diverse cases and precedents.

The content has been structured to be applicable in practice by integrating the internal audit planning process and audit points for each department in the field with various case studies.

The purpose and functions of performance appraisal, principles, pros/cons, and complementary/operational methods of assessment tools like BSC, MBO, and OKR (now widely used by diverse companies, departing from traditional approaches) were presented, centered on practical cases.

We have structured the content to help you understand production planning and process management, which are the core of production management, and to enable you to perform more efficient and advanced production management tasks, from building work systems that respond to the Fourth Industrial Revolution to utilizing systems.

It is structured around issues frequently encountered in real estate practice, such as the establishment and changes of real rights, real estate registration, nominee title trust, liens, mortgages, and the Lease Protection Act, to provide practical legal insight not only for practitioners seeking to build a foundation in law but also for intermediate or higher-level practitioners.

The head of 한국기록경영연구소 presented the 스케투 method, encompassing priority management, vision management, schedule management, project planning, and scheduling, through scheduling and to-do list management methods they personally devised. Additionally, it offers smart self-development methods to break free from the "three-day resolution" syndrome, leveraging the instructor's experience-based scheduling techniques and schedule-recording know-how.

We will teach you how to understand customer experiences through Customer Journey Maps and methodologies for deriving branded customer experience design and service improvement tasks. Through actual studies of various CXM success cases, you can increase your company's revenue and upgrade your customer management to the next level. Additionally, through various cases that succeeded with customer experience management, you can find points that can be applied to your own company.

It consists of content such as internal control design evaluation and operating evaluation, and RCM (Risk Control Matrix) case analysis. Through this, you can effectively operate and advance your internal accounting management system.

We provide easy-to-understand guidance on corporate fund management solutions across all aspects of fund operations, including corporate fund management, cash flow planning, and fundraising, along with various case studies. Through this, corporate fund management personnel can develop the practical skills in fund management and fundraising necessary to perform their duties.

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.

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.

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

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

This is a lecture where you can learn Deep Learning using TensorFlow. Learn linear regression, logistic regression, and softmax regression models, and finally create an MLP model that can classify fashion images!

Learn how to build deep learning models directly through intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.

Learn MLP, CNN, and RNN, the basic framework of deep learning, quickly and easily.

This lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.

We will help those preparing for the Big Data Analysis Engineer Practical Exam with R to prepare for the exam. We will select and inform you of only the essential parts based on the questions that were on the Big Data Analysis Engineer Practical Exam. If you complete the course, you will be one step closer to passing the Big Data Analysis Engineer Practical Exam. We have reviewed the recent exam questions and uploaded related scripts and data. Also check out the latest exam information.

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.

Let's understand and try policy evaluation with R and R Studio!

ADsP Certification All-In-One Course! Ultra-Short Term Completion! Reflecting 2025 August 46th Exam! (Continuous Updates!)

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.

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

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.

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

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.

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

The PyTorch_Project Edition, understood instantly with code, implements practical deep learning projects using image, video, and NLP data, understanding model structure and flow through code-centric learning over theory.

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

This course is a comprehensive program that covers everything you need to know to utilize generative AI in practical work settings, from the basic principles of LLM (Large Language Models) to RAG (Retrieval-Augmented Generation), and even the latest technologies like AI Agent and MCP (Modular Command Protocol). It is structured to naturally teach you how generative AI understands, searches, judges information, and extends into AI Agents that take action, following the flow of technological development.

Make AI data analysis and modeling results into a Web Program.