Easy to understand, SQL secret recipe for everyone

We will teach you the key points of SQL data analysis methods in an easy-to-understand manner through analysis projects and theories.

Basic GA4 Theory Explanation for Beginners We'll explain the GA4 structure, theory, and events that no one else has told you about. (This is a basic theory lecture and does not include hands-on practice or reporting methods in this content.)

Skip the complicated theories and concepts and just write SQL statements, practice, and follow along!

SQL data analysis! We will teach you how to solve practical problems that are applicable in the field, quickly and easily!

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.

Automatically generate executable SQL files using JDBC (DatabaseMetaData, ResultSetMetaData). Install the e-Government Standard Framework 3.10.0 development environment. Install local DB (mariadb-10.6.4-winx64.zip).

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.

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

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!

Learn about Race Condition, a representative concurrency problem. Practice by comparing single server environments and distributed environments that cause concurrency issues. Understand transaction boundaries and isolation levels. Learn the differences between optimistic locking, pessimistic locking, and distributed locking.

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

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 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!

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.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

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

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

From Java basics to advanced concepts, and Oracle SQL too, Backend web development series with hands-on practice, taught by star instructor Young Cody Kim who explains clearly for non-majors and coding beginners

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.

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

"I have a backend technical interview in a week, what should I start with?" The secret to answers that make interviewers nod Master the actual answer patterns of Naver, Kakao, Coupang, and Toss successful candidates in just 3 days!

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