Analysis and Visualization of 5 Million Korean Apartment Transaction Data with PostgreSQL

This is a lecture that teaches you how to save time and maximize your work productivity by using NotebookLM.

GCP (Google Cloud Platform) is Google's cloud computing service, offering a variety of infrastructure and platform services. This allows you to leverage various functionalities.

This is the process of designing and implementing applications and directly designing and configuring Cloud infrastructure architectures to run developed programs in a Cloud environment.

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

This is a lecture on performing performance and load tests on a sample Web Application using Locust.

This article describes the process of creating AWS resources based on AWS InfraArchitecture using Terraform modules.

Extract and utilize data through Oracle 18c and become a database expert!

This course teaches you how to write performance-conscious queries during the SQL development phase, guided by a SQL Server expert. You can learn the basics for meeting query performance requirements along with practical case studies.

This is a code-lab-oriented course where you will directly build big data or distributed processing system clusters (HDFS, Zookeeper, Spark, Zeppelin) that guarantee High Availability.

MongoDB is easy to learn because it uses JavaScript, which is familiar to web developers who haven't learned SQL. This course will explain concepts using everything from the most basic parts of MongoDB to practical applications.

With the arrival of the AI era, the skills required of developers are becoming increasingly complex. You might have thought, "I just need to be good at frontend," but when you try to create your own service or integrate AI features, you eventually hit a massive wall called the backend. However, as you try to start backend development, are you overwhelmed by how much there is to learn—from database design and authentication (Auth) to storage management and complex infrastructure setup? Now, you can lay down that heavy burden. In this course, we use Supabase, which solves all these backend functions at once. We will guide you through the fastest shortcut to becoming a full-stack developer who can "instantly" complete a backend without complex server knowledge and bring ideas to life immediately.

This course focuses on building the real skills needed in actual development work. The goal is not simply to learn how to write code well, but to experience how to work well as a developer. The examples are based on the commerce domain, covering cases frequently encountered in real-world work environments, and are provided in SpringBoot & Kotlin. However, it's a course where anyone can contemplate and experience real-world development through thought-provoking content, without being dependent on any specific language or framework. Based on the practical perspective of a senior developer and former director at Toss Payments who led a large-scale payment service organization, the course is designed to help you learn the thought processes and design decisions used in actual work environments.

A beginner's guide to SQL coding! We'll teach you the secrets of writing, interpreting, and validating SQL.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

"I have a backend technical interview in a week, what should I start with?" The secret to answers that make interviewers nod Master the actual answer patterns of Naver, Kakao, Coupang, and Toss successful candidates in just 3 days!

This is a guide course for beginners who are taking their first steps into Oracle. We will teach you the basics of user creation, table creation, and queries.

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

★.NET 8.0★ This is a basic Windows Desktop development course using WinForms. Learn how to easily perform DB CRUD operations using EntityFrameworkCore. I will teach you class design methods based on loose coupling and the "basics" of Form UI Design. The source code used in the lecture is also provided :)

Immutable truths for developers/engineers that will never change even in the AI era! We provide essential computer science knowledge for free to prepare for developer/engineer job applications and technical interviews.

This is a course for learning MS-SQL through baseball and corporate databases.

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

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.

"Data analysis—don't stay trapped in complex Python syntax and Excel functions anymore." This course is a practical masterclass that automates the entire process of data processing, from Excel and Google Sheets to Python-linked analysis, by hiring the latest AI agents as your own dedicated data analysts. Instead of difficult coding knowledge, we introduce the latest 'Vibe Coding' method—commanding as if having a conversation in natural language—allowing even non-majors to enter the world of data analysis without any barriers. Through comprehensive hands-on practice using actual business data—covering everything from data preprocessing and visualization to report writing—experience a powerful AI workflow that you can apply to your work starting tomorrow. A lecture utilizing AI agents, Excel data analysis, chatGPT, Gemini, (Python), Genspark, Google Colab, chatbots, Google Antigravity, and notebookLM.

"Data analysis—don't stay trapped in complex Python syntax and Excel functions anymore." This course is a practical masterclass that automates the entire data processing journey—from Excel and Google Sheets to Python-integrated analysis—by hiring the latest AI agents as your personal dedicated data analysts. Instead of difficult coding knowledge, we introduce the latest 'Vibe Coding' method, where you give commands as if having a natural language conversation. This allows non-majors and humanities students to enter the world of data analysis without any barriers. Experience a powerful AI workflow that can be applied to your actual work tomorrow through comprehensive hands-on practice using real business data, covering everything from data preprocessing and visualization to report writing. A lecture on utilizing AI agents, Excel data analysis, chatGPT, Gemini, (Python), Genspark, Google Colab, chatbots, Google Antigravity, and notebookLM.

Learn how modern data teams leverage dbt. Build maintainable analytics models and validated data pipelines hands-on. Master core concepts of analytics engineering with a practical focus. This course is for those who want to take their data career to the next level 🚀

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!