National Technology Management Information Visualization Ability (Written) Certification Preparation

The AWS Certified AI Practitioner practice exam problem-solving course is a core summary course for certification success. First, you will quickly review the basic concepts of AI/ML and generative AI, and learn the functionalities and use cases of key AWS AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you will practice determining which AI solution is suitable for various real-world problem situations, and also cover topics related to the responsible use of AI models and data security. Finally, you will learn problem-solving strategies for each type of past exam question and prepare for the exam through practical mock tests. Through this course, you can efficiently prepare for the exam in a short period.

AI Tech DNA Series: AI Fundamentals of Computer Science from an AI Perspective is an introductory course designed to help you understand the basic concepts of computers needed in the AI era in the easiest way possible. It explains fundamental principles such as CPU, memory, storage devices, networks, and data structures by connecting them to real-life analogies and AI perspectives, building a solid foundation to advance into Python, AI, security, and cloud computing.

[Reflecting the latest related regulations and guidelines presented by the Korea Financial Security Institute, Financial Supervisory Service, and Personal Information Protection Commission] In the rapidly changing digital financial environment, security has become not an option but a core survival strategy. This course covers the new directions of financial security changing with digital transformation, strategic response methods, and practical approaches to establishing a security culture within organizations. We will examine the policy directions of the Korea Financial Security Institute, the latest regulatory trends, and global security trends together, learning security innovation strategies centered on people and organizations beyond technology-focused approaches.

[Reflecting the latest related regulations and guidelines presented by the Korea Financial Security Institute, Financial Supervisory Service, and Personal Information Protection Commission] This is a course where you learn how an organization's security governance and internal control systems should operate through actual financial security incident cases. You will analyze the causes of incidents and response processes, and based on this, learn effective security policy establishment, risk management, and compliance response methods. The goal is to build security culture and control systems across the entire organization, going beyond technical responses.

Welcome to the R Programming Basics course! This course provides an easy and systematic guide to the core concepts of R programming and practical data handling and visualization methods for those starting out in data analysis. Starting with R installation, it covers data structures, basic syntax, and real analysis cases, aiming to help you successfully take your first step as a data analyst.

In an era of explosive data growth and crucial real-time processing, edge computing has established itself as an essential technology, no longer an option. This course is designed to systematically teach everything, from the core concepts of edge computing to deployment strategies for its application in real business environments. Through this course, students will firmly solidify the fundamental principles of edge computing and acquire practical knowledge and know-how applicable to real-world tasks and projects. Take the most certain first step towards becoming an edge computing expert, a core technology in the future IT environment!

This is a lecture where you can learn key content online for obtaining certification, covering everything from the basic concepts of information security to the latest security issues. Efficient exam preparation is possible with theory reflecting the latest test trends and practical mock tests, and it is structured so that even those new to information security can easily follow along.

Computational thinking isn't something that only computer science majors learn. Every profession has problems that need to be solved, and computational thinking can be used to solve those problems.

The Data Architecture Junior Professional (DAsP) is a certification that certifies expertise in data management and design, covering data modeling, architecture design, data standardization, etc. This preparation course systematically learns from basic concepts of data architecture to practical application cases, and strengthens problem-solving skills through practical exercises. It is suitable for beginner learners who want to grow as data professionals.

This course is designed for those who wish to obtain the nationally certified Associate Data Analyst certification. It objectively verifies data analysis skills, which are essential for data utilization across society, and is structured to enable individuals to take and pass the qualification exam with the competencies acquired through this course at a time when there is a need to train practical data analysis experts in the public and private sectors.

Through this lecture, we have organized the lecture to help students easily understand the concept of the Internet of Things and prepare for the IoT Knowledge and Ability Certification exam at the same time.

(Updates are being progressively rolled out for all sessions, targeting completion in early January 2026) Prepare for the nationally certified Industrial Security Manager certification and finish it all at once! This course covers essential industrial security knowledge in an easy and systematic way to protect companies' core technologies and information. From administrative, physical, and technical security to related regulations, it's structured around core theories and practical cases that are essential for the exam. 👉 For those aiming to obtain Industrial Security Manager certification 👉 For those who want to strengthen their corporate security management and security policy development capabilities 👉 This is an essential course for those who want to grow as security professionals.

Introduction to SQL Data Analysis! Quick and easy to understand with practical problem solving!

The goal of this course is for you to efficiently learn SQL, apply it directly to practical work, and quickly develop data analysis skills. Let's grasp essential SQL fundamental concepts through solving Hackerrank problems, immediately apply them to real-world tasks, and truly enhance your skills.

Given the need for data analysis experts, this course is designed to obtain the nationally certified 'Data Analysis Associate Professional' qualification.

We'll learn about the Tableau visualization tool needed for the Business Information Visualization Skills practical exam. Don't hesitate any longer and take on the challenge!

Learn the ADsP certification passing strategy and learn the memorization subjects in summary. Don't hesitate any longer and challenge yourself for the ADsP certification!

An easy-to-understand introduction to data lecture by Korea's first data humanist, Shin Do-yong! Let's learn data-based thinking to properly read and utilize massive amounts of data!

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

SQLD, where should I start? This course is for you who feel so overwhelmed; you'll meet a changed you after completing it. SQLD All-in-One Pass!

Learn database design systematically through three stages: conceptual, logical, and physical, and strengthen your capabilities with a practical shopping mall project. Acquire real-world expertise through modern design techniques and the latest trends.

Neo4J-based Knowledge Graph RAG System: Next-Generation Search Technology That Goes Beyond Simple Vector Search to Leverage Data Relationships Maximizing RAG Performance with the Power of Graph Databases!

A course that will help you collect, process, analyze, and visualize data to build the ability to make accurate decisions! Through this course, understand the Excel functions required for data analysis and derive the results you want!

If you are curious about the various possibilities and future prospects of generative AI, including ChatGPT and Clova X, that can be used for data analysis, come to our seminar this May!

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.

Through this lecture, students are expected to be able to check actual materials such as big data contests and self-introduction essays and determine the direction of their studies and job preparation.

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

This course will help you make the most reasonable business decisions through data, from data connection to data visualization. Completely master Power BI data analysis and visualization that will lead to valuable insights!

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.

Understand how to effectively analyze and visualize data using Power BI, a data analysis and visualization tool from Microsoft.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165