The final step for SQL coding test

By skimming through the content of the Tableau certification, you can understand the overall functions of Tableau in a short period of time.

By solving Leetcode SQL problems, you can understand problem types and improve your SQL implementation skills in a short period of time.

I share my experiences and insights as a data analyst at a leading tech company. I'll discuss practical tips on how I solved problems encountered at work and the mindset that data analysts should keep in mind.

Solve 88 expected questions for the 'Tableau Desktop Specialist' certification. Practice with Tableau programs directly.

By solving Leetcode SQL problems, you can understand problem types and improve your SQL implementation skills in a short period of time.

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.

Make the most of relational database systems!

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

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.

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~

This course provides a step-by-step learning path, ranging from the fundamental usage of MySQL to advanced techniques required in real-world production environments. It covers a wide range of topics, including data modeling techniques based on various case studies and practical data, evaluating the effectiveness of Foreign Key designs, analyzing Google Calendar schema DDL, and modern DDL design principles. Through this course, you will gain an in-depth understanding of how to utilize MySQL as a core system component rather than just a simple database.

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 🚀

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

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 is an introductory BigQuery (SQL) course for beginners. Recommended for those curious about data processing methods. We teach SQL from a data analysis and data engineering perspective rather than a backend development perspective.

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

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

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.

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!

This is a course aimed at obtaining the nationally recognized SQLD certification, and SQLD refers to developers who can write accurate SQL for manipulating and extracting data while developing application software based on database and data modeling knowledge.

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

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!