[Management Course #3] DE, DBA (SSIS, SSAS, MachineLearning, BI, ETL)

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 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#.

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

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)

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.

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.

You can solve design problems by writing code in a formatted way. You can understand code or patterns written by other programmers.

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.

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

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.

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.

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

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

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.

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.

"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.

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.

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

By the end of this course, you will be able to implement Apache Spark projects in your organization.

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.

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

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!

This is a Python basics course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python

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!

We guide non-majors and beginners to quickly obtain the Big Data Analytics Engineer practical certification! Theory lightly, practice thoroughly - even without complex background knowledge, we focus on learning only the essential points that appear on the exam, centered around past exam questions.

🚀 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.

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

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'?

SQLD Yellow Book 176 Problem-Solving Course for those who studied but can't solve problems. After completion, you'll go beyond passing to become an expert. SQLD All-in-One Pass!

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

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

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.