MySQL Master Course for Data Analysts and IT Engineers!

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.

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

I have summarized the essential SQL SELECT statements and basic usage of Google Sheets that I learned while working as an analyst at a service company.

Learn how to use the most commonly and importantly used advanced T-SQL queries in practice from a SQL Server expert consultant and Microsoft MVP, so you can write SQL in a more SQL-like way.

Learn everything you need to know about MariaDB (MySQL) as a developer, including beginners, backend developers, and SQLD exam preparation students. The class is focused on hands-on practice, where you will build your own DB.

We covered the concepts considered while migrating 20 billion data items managed through the existing MongoDB to MySQL.

This is a content about backend development using two databases, MySQL and Mongo, for job seekers preparing for backend employment.

We will inform you about the platform mass adoption method using AWS (S3, CloudFront) and MySQL (Geospatial Query).

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

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.

Here’s an example of the synergy that can be created when combining Tableau Desktop and Server/Online. Let’s build a pipeline together to see how data can lead to concrete actions!

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

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.

Master the Big Data Analysis Engineer certification, an essential but never easy-to-self-study credential, in a short period by utilizing R, an easy-to-learn data analysis tool!!

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

We enable you to fundamentally understand and resolve issues where Hangeul appears broken on web pages or in databases, or files contain unknown characters.

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!

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.

I've created a 'Redis Introduction/Practical (Query Performance Optimization)' course that non-majors can easily understand and immediately apply in practice!

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