정보보안기사 필기 - 문제풀이 중심 (2023 개정) Part.3 어플리케이션 보안

Learn Java programming language by solving 100 problems. The entire course consists of 5 parts. In this course, Part 2, you will solve problems on conditional statements and loops.

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

This is a lecture where you can learn JavaScript through theory and practice. We explain step by step so that even those who are new to coding can easily understand. Part 1 covers an overview of JavaScript, variables, data types, operators, control statements, and the basics of jQuery.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 1, you will solve problems on the topics of variables, data types, operators, conditional statements, and loops.

This course is designed to help office workers and professionals use office programs more skillfully. Rather than simply learning functions, the learning process focuses on cases frequently encountered in actual work situations, such as document creation, data management, and presentation production. Through this course, students will systematically learn everything from the basics to practical application of office programs like Word, Excel, and PowerPoint, and naturally acquire methods to apply various functions to suit their work needs. This enables them to increase the efficiency of simple repetitive tasks and significantly strengthen practical capabilities such as report writing and data analysis. In other words, this course is a practical learning process that provides productivity improvement skills that can be immediately applied in real situations, not only for learners who are new to office programs but also for office workers who already have experience using them.

This is an introductory course that teaches the most basic video editing, focusing on the basic editing functions of Davinci Resolve. (Part 2/3)

This is an introductory course that teaches the most basic video editing, focusing on the basic editing functions of Davinci Resolve. (Part 3/3)

This course is designed for all learners, from those just starting with data analysis to those looking to apply it in practical work, to systematically learn the entire process of data processing and visualization using R. First, in the basic setup stage, we start with installing the development environment and learn how to create DataFrames and Series, building a solid foundation in the fundamentals needed for R programming. Next, we move on to learning core functions, focusing on hands-on practice with the most frequently used features in data analysis such as indexing, slicing, sorting, filtering, and handling missing values. After building the foundation, we expand to intermediate functions, intensively covering features essential for actual data analysis work such as date and time data processing, groupby operations, data merging (merge, concat), and function application (apply, lambda). Through this, you can develop the ability to handle complex data structures beyond simple data manipulation. Finally, in the visualization section, we cover various visualization techniques including line graphs, histograms, box plots, and time series graphs to learn how to express data more intuitively. Through visualization, you can also acquire the ability to effectively communicate analysis results. In particular, this course is structured not to stop at theoretical learning, but to allow immediate application of learned content through various examples and step-by-step practice. Therefore, students can naturally develop practical skills just by following the course and further secure data analysis capabilities that can be applied to actual projects.

Through this course, learners can develop the ability to obtain a Computer Application Skills certification. This course is structured according to the examination standards as a preparation course for acquiring the Computer Application Skills certification. You can learn and apply basic knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Written Exam - Spreadsheet General)

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this lecture, you will learn about Python, variables, data types, conditional statements, and loops.

Through this course, learners can acquire the ability to obtain a computer proficiency certificate. This course is designed to meet the examination criteria for obtaining a computer proficiency certificate. You can learn and utilize basic knowledge of the computer proficiency subject to prepare for obtaining the certificate.

This course is designed to provide step-by-step learning from the basic concepts of database systems to the utilization of Relational Database Management Systems (RDBMS) and SQL. Learners will understand the principles of databases and be able to create systematic data structures through data modeling and design methods. Additionally, they will experience actual data processing by practicing data manipulation and management techniques using SQL. Through this course, students can go beyond simple theoretical learning to build a foundation that can be utilized for both practical work and certification exam preparation by acquiring efficient data management and application skills.

This course is a learning process that involves studying the fundamental theories of data structures by directly implementing them through JAVA programming. Rather than simply learning theory, it is structured to enable a deeper understanding of data structure principles by implementing them with actual code. Learners will theoretically learn core data structure concepts such as arrays, stacks, queues, lists, trees, and graphs, while simultaneously implementing them in JAVA code to experience their actual operation processes. Through this approach, rather than rote memorization, learners can develop logical thinking skills and problem-solving abilities, enjoying the synergistic effect of learning programming and data structures together. 👉 Upon completing this course, learners will master the basic concepts and structural characteristics of data structures, as well as the ability to implement and apply them in actual development environments, establishing a foundation for designing more efficient and robust programs.

This is a basic machine learning course that briefly covers the basic machine learning theory for those who are new to machine learning.

This is an intermediate course that teaches you about JavaScript and jQuery through theory and practice. It consists of content that can be applied to practical work based on basic concepts of HTML, CSS, and JS. Part. 1 covers the Document Object Model (DOM), basic concepts of jQuery, finding, creating, adding, deleting, and moving nodes.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

Learn the basic functions for 3D CAD work using AutoCAD.

This is an introductory course on 3D graphic modeling using Autodesk Maya, a 3D modeling software. The course consists of four parts, and in this course, we will start with tool installation and learn the basic functions of Maya.

This is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

The core content of the Electronic Financial Supervision Regulations has been well-organized and infused with practical experience. Understand complex regulations clearly and grow as a financial security expert. The main content of the Electronic Financial Supervision Regulations revised on February 5, 2025 is also included in the lecture. Please refer to it.

Training on assessing the current status and inspecting personal (credit) information processing systems, pursuant to the Notification on Personal Information Security Measures and Appendix 3 of the Supervisory Regulations on Credit Information Act.

Electronic Financial Infrastructure Vulnerability Analysis and Assessment based on 2025 standards, DBMS, WAS(PaaS), PC explained based on the Major Information and Communication Infrastructure standards revised in the second half of 2025 And penetration testing explained based on the standards revised in the second half of 2025 Additionally, mobile penetration testing as well Expected skill improvement through know-how transfer and fast and accurate inspection methods and remediation measures