[The concept is easy~, the practice is intense] SQL data analysis, utilization!

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

Spring Boot, the starting point of Java web development! We will teach you the essentials step by step while making it yourself!

Introduction to front-end and web development! The starting point. Easy and quick to learn.

The flower of Java programming, object-oriented programming! Concepts and practice. We will teach you at the same time.

Introduction to Java Programming! The starting point. Easy and quick to learn.

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

A must-have subject for aspiring developers and those looking to get a job in big data!!

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

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.

If you are already a developer or want to become a developer but did not major in computer science and are weak in databases, gain lifelong knowledge with this one course!

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

[Web Dev Beginners Only] Build a Spring Boot REST API easily, step-by-step, fully understanding JPA.

This course teaches MS-SQL through baseball/company databases.

This course is a master class that systematically covers the fundamental principles and practical applications of MongoDB. Starting with core MongoDB concepts, you will systematically learn essential topics for practical work, such as database design, CRUD operations, indexing, aggregation pipelines, performance optimization, transactions, and security. It explains topics step-by-step so even beginners can understand, and you can deeply learn the working principles of MongoDB through exercises and examples. This is the best introductory and practical course for developers who want to build strong MongoDB skills for practical work.

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!

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

[Newbies to Web Development Only] Let's Build a Spring Boot REST API Step-by-Step, the Easy Way

★.NET 8.0★ This is a basic course on Windows Desktop development using Winform. Learn how to easily do DB CRUD using EntityFrameworkCore. We will teach you the class design method based on loose coupling and the "basics" of Form UI Design. We will also provide the source code used in the course :)

For those who feel overwhelmed preparing for the SQLD exam, this is a comprehensive course that analyzes the entire Norang-i scope, organizes necessary theory, conducts practice-focused classes, and solves all problems systematically. With short, concise clips and topic-based segmented structure, you can build skills that work directly in the exam room.

SQLD Yellow Book 176 Problem Solving Lecture for You Who Studied but Cannot Solve Problems. After Completing the Course, You Will Become an Expert Beyond Passing. SQLD All-in-One Pass!

This is a course on making practical Unity games with a database. Challenging areas can be covered in this course.

Learn common components of global-scale services through popular papers, books, and articles.

This course aims to acquire the state-authorized SQLD certification. SQLD refers to a developer who, based on database and data modeling knowledge, can write accurate SQL for manipulating and extracting data while developing application software.

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!

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.