[管理コース＃3] DE、DBA（SSIS、SSAS、MachineLearning、BI、ETL）

This is a lecture using the only domestic e-government framework and Layered Architecture, which are widely used in practice but not available in Korea. In this lecture, we will learn how to build the backend and server side of web development using the Spring Framework and the e-government standard framework.

We cover ASP.NET Core, which is mainly used by foreign companies and large corporations.

This is an Oracle course, one of the top 3 databases. Even if you are learning databases for the first time, you can easily learn.

This is a class diagram lecture in UML. This is a design lecture.

This course covers the essential knowledge that every 0.5 to 3-year C# application developer should have.

In this lesson, you will learn how to create an .EXE file. You will also learn how to install an MSSQL database and request data in C#.

Learn C# for developing applications like ASP.NET, Winform, WPF, and MAUI that run on the .NET Platform.

We will cover ASP.NET Core Identity, creating bulletin boards, EF Core, data filtering, etc.

The meeting of Enterprise Architecture (EA) and Spring Framework adopted by large corporations and foreign companies! The world's only Enterprise Architecture X Spring Framework lecture. In addition, it is structured to be more helpful in applying actual development projects by satisfying the conditions of electronic government frameworks frequently used in practice.

Let's learn the C# language. You can learn it even if you don't know the C language. The development tools are also installed from the beginning.

Learn how to save, modify, delete, and query data in a database. Anyone, regardless of major, can easily follow along in just 30 minutes.

Creating an application on Linux (Ubuntu OS). (Cross-platform application development)

This course teaches you how to communicate in real-time with ASP.NET Core, MAUI, and WPF using SignalR.

Learn about MAUI cross-platform development, which lets you develop and run Windows, macOS, iOS, and Android applications with a single code base.

You can learn how to solve concurrency problems, how to tune procedures, and how to speed up query execution. You can also learn various know-hows such as common mistakes and problems that occur in practice. (The only refactoring lecture in the world)

In this lecture, you will learn how to create an ERD. You will learn database design. (The only big data design lecture in Korea)

This is a WPF lecture that will be helpful to developers who are considering introducing WPF in WinForms, application developers who are hoping to get a job in the US, and those who are hoping to get a job as a developer. It is not a lecture focused on theory and design, but covers content that can be used in practice.

This is a course to learn MariaDB, a commercially available database. Even if you are learning about databases for the first time, you can learn it easily.

This course covers the essential knowledge that every 0.5 to 3-year C# application developer should have.

This is a class on MSSQL, one of the three major databases. Even if you are learning databases for the first time, you can learn it easily.

This is a lecture on learning text mining analysis techniques, big data analysis techniques, word frequency analysis, word cloud visualization, morphological analysis, and topic modeling analysis techniques utilizing Python and ChatGPT, covering how to utilize text mining data analysis techniques necessary for writing papers and basic application methods for research papers.

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

In this lecture, you will learn how to create an ERD. You will learn database design. (The only big data design lecture in Korea)

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

Uncover true value in the age of data! 📊 Designing applications focused on data has now become essential. Develop the insight and skills your company wants with the latest trends and practical case studies. Start now with efficient data processing and design secrets! Your next step, leap into the data-driven world!

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

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!

"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.

You will learn Apache Airflow, the most widely used Orchestrator for creating software data pipelines.

It's now an era where data speaks, not intuition. Learn data analysis easily with ChatGPT!

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

Redis is a fast and scalable open-source database. This technology is used to maximize performance in real-time applications, games, social media platforms, and more. However, to truly understand the power of Redis and use it effectively, you need a deep understanding. Now is your chance to learn Redis in a professional way. "Redis with Silicon Valley Engineers" covers a wide range of topics, from the core concepts of Redis to advanced features. This course is designed for everyone, from beginners who are new to Redis to advanced users.

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

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!

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.

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

Hello! Have you ever gotten tired of repeatedly writing the same code over and over again while doing data analysis? 😫 Now let's give your projects wings with PyCaret! 🚀 This course will teach you the secret to automating most of the tedious and complex machine learning processes with just 5 lines of code. Here's how this course will transform you! ✨ Master Real-World Projects: 📈Customer purchase prediction (classification), 📉Medical cost prediction (regression), 🧩Customer grouping (clustering), ⏳Airline passenger prediction (time series)! You can develop 'real' problem-solving skills by following along with 4 core projects hands-on. Acquire Expert Skills: But that's not all! 🤖 We'll also teach you expert skills like managing your models with MLOps and creating API servers with just a few clicks. Pretty amazing, right? Protect Your Work-Life Balance: Most importantly, we'll drastically reduce your repetitive tasks and help you focus only on core analysis. Leaving work on time is a bonus! 😉 Whether you're not yet comfortable with coding or you're a current professional wanting to explosively boost productivity, everyone is welcome! 👋 Shall we transform together into a '10x faster data scientist'?

Learn the process of building data pipelines using Apache Airflow from basics to practical application. Understand Airflow's core concepts and architecture, and master advanced design patterns frequently used in practice such as dynamic DAGs, parallel processing, distributed processing, and Custom Operators through hands-on exercises. Set up a practice environment with Python and Docker, and develop practical skills to design and operate real workflows.

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.