SQL tuning for immediate use in business

You can learn how to handle data frames (tables) using Python, similar to the SELECT statement in SQL.

Through this course, students will learn the overall concepts and flow of databases and operating systems.

Learn how to model data in a distributed database environment.

You will be able to extract the data you want directly without the help of a developer. We will provide everything you need for analysis, from simple queries to joins. Start learning SQL with a direct lecture from the author of the book <Planner's SQL>.

We conduct app log analysis using data from Google Analytics 4 and Firebase. It includes useful content for practical use, such as arrays, window functions, funnels, retention, Google Sheets, and more.

We will tell you everything about how to build a server and perform uninterrupted deployment for stateful services such as Chijijik and AfreecaTV.

Let's build a project using Ktor, the most popular project in Kotlin, and master Kotlin! 😆

Let's edit and process the countless data generated through public services to build our own database, and discover another hidden world through a series of tasks that occur in the process and by utilizing SQL.

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

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

This is a course on making practical Unity games with a database. Challenging areas can be covered in this course.

This course is designed to help students learn and practice PHP programming concepts. It is designed for students who want to learn PHP programming concepts.

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

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

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

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.