[관리코스 #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.

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.

This is a code lab-based class where you will directly build a big data system or distributed processing system cluster (HDFS, Zookeeper, Spark, Zeppelin) that guarantees high availability.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

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.

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 is a free lecture designed to help those who are new to TEXTOM easily acquire text mining and big data analysis skills through hands-on exercises with examples, rather than focusing on fundamental theoretical explanations.

This is a special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

This course teaches Python-based text mining: basic theory and practice. It covers fundamental text mining data analysis for practical or thesis writing.

🚀 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.

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

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.

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

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

This is a practical project lecture that collects data and analyzes big data using Arduino and wind sensors.

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

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!

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'?