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Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

Master advanced SQL, solve 101 practical data analysis problems at a professional level together, and build a solid SQL data analysis skillset.

SQLD, where should I start? This course is for you who feel so overwhelmed; you'll meet a changed you after completing it. SQLD All-in-One Pass!

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

A DBA instructor with 30 years of experience teaches 45 essential SQL tuning techniques that can be immediately applied in practice through real-world examples. Master the practical know-how to make slow queries 10 times faster, from execution plan analysis to index optimization and join tuning!

Technology should also start with interest. I have prepared a story about a person who analyzes MBTI of his coworkers. I hope that those who have been daunted by SQL will start studying it with enjoyment.

Just having that kind of developer portfolio makes it hard to get hired! Revealing the portfolio secrets that actually got people hired at major IT companies like Kakao, Samsung Electronics, and Naver!

Here are some key competencies that are often overlooked by others in the fiercely competitive and complex semiconductor process job market.

I am covering the know-how on how I studied and got a job, starting as a non-major.

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.

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

This lecture is for beginners who are new to coding, as well as those who want to try out various uses of Python, covering basic concepts of Python, Numpy, Pandas, Plotly, Django, and crawling, as well as simple data analysis.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

Learning by Doing: 정보처리산업기사 I have prepared everything for passing the 정보처리산업기사 course-evaluation practical exam.

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.

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

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

We'll concisely summarize only the essentials of Python syntax!! For those who want to quickly learn only the must-knows like data types, conditionals, loops, and functions; for those who wish to understand Pythonic syntax in a short time, This is recommended for office workers, job seekers, and non-majors who want to master Python in a short period.

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.