Practical SQL with HackerRank for SQL Beginners

Inflearn cumulative students over 30,000, Datarian's SQL basics course with rich online/offline teaching experience. Learn SQL basic theory and solve 10 SQL problems together.

As you work through more difficult Leetcode SQL problems, you'll learn how to apply multiple grammar rules to a single problem.

Through a hands-on curriculum using MariaDB and HeidiSQL, you can learn the core concepts of SQL and how to use it in practice while collecting, preprocessing, and analyzing data.

Extract and utilize data through Oracle 18c and become a database expert!

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

This is a process of creating your own backend API server, using Node-based Strapi v4, without any additional coding, with just a few clicks, and deploying it to AWS EC2. Almost the same can be applied to Strapi v5. Please refer to the lecture A/S as well~

We will learn how to create a system to support large amounts of data and traffic by creating it directly with Spring Boot.

From Java basics to advanced levels and Oracle SQL, this is a backend web development series where you learn through hands-on practice with star instructor Young-Cody Kim, who makes coding easy to understand even for non-majors and beginners.

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 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

Solve 25 SQL problems of various difficulty levels. This is the Advent of SQL 2024 explanation lecture. Upon finishing the lecture, you can complete the Advent calendar and obtain a badge.

This course is designed for those who are new to Debezium-based CDC and unsure where to begin. You will gain hands-on experience with the entire process of collecting MySQL change data in real time via Kafka and delivering it to PostgreSQL. By learning everything from the basic principles of CDC to configuration and operational best practices, you will be able to build real-time data pipelines on your own.

This course goes beyond basic CRUD-level database usage, helping you develop the PostgreSQL skills needed in the AI era from a practical, real-world perspective. Drawing on AI development experience in Silicon Valley, you’ll gradually learn how to design and use JSON, indexes, transactions, and pgvector in actual services, while gaining the skills to solve complex data structure and performance problems.

This course teaches you how to build a practical Unity game with a database. It covers difficult-to-access topics in an easy-to-follow lecture format.

From the fundamentals of MySQL usage to the advanced techniques required in real-world service environments, you will learn progressively. The course also covers a wide range of topics, including data modeling techniques based on various cases and practical data, evaluating the effectiveness of Foreign Key design, analyzing the Google Calendar schema DDL, and modern DDL design principles. It provides an in-depth understanding of how to use MySQL as a core component of a system, rather than merely as a database.

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!

Learn how modern data teams leverage dbt. Build maintainable analytics models and validated data pipelines hands-on. Master core concepts of analytics engineering with a practical focus. This course is for those who want to take their data career to the next level 🚀

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.

This course focuses more on data modeling through entity design than on JPA technical explanations. Based on the principle that solid DB design is the foundation of application development, we analyze various design patterns—such as one-to-many, many-to-many, inheritance, and collections—alongside business scenarios. You will learn by directly observing the process of code being transformed into actual tables on screen. To ensure immediate practical application, we provide business use cases, source code, and test codes for each design pattern.

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