Fashion Retail Analysis

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

Let's design, implement, and develop while learning the basic and object-oriented concepts of the C++ language!

Let's build a solid foundation in Python and solve data analysis problems!

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

Let's understand the major algorithms of machine learning and deep learning, and get to know artificial intelligence!

Let's develop data-driven administrative practical skills to empirically solve administrative and policy problems by analyzing public data with R and Python!

Let's learn various data structures and algorithms and develop practical skills by implementing them through programming!

It improves logical thinking skills, fosters the ability to understand how to use programming tools, and develops the capacity to design algorithms for problem-solving.

Let's understand machine learning and deep learning model algorithms by using Keras!

ChatGPT, become a creator using generative AI!

Let's have fun coding with various cute robots using artificial intelligence!

Let's build the skills to develop web applications using React and cultivate the capability to apply them in practice!

Let's develop the capacity to extract valuable information from big data and support decision-making!

Let's learn how to use Git and GitHub and use them for collaboration!

Let's understand data analysis methods using Python, analyze and visualize various types of data on our own, and organize an outline of our data story!

Experience text-based coding through block coding and let's control an Arduino!

Let's cultivate professional expertise in programming, algorithms, and statistical analysis!

Let's create your own self-driving car using block coding using Scratch Entry!

It improves logical thinking skills and cultivates the capacity to converge one's major with information and communication technology in the era of the Fourth Industrial Revolution.

This is a detailed and practical course for Google Analytics beginners. Rather than just covering fragmented features, you can learn the actual analysis process using GA4 through scenario-based analysis. It is continuously being updated to reflect the latest GA4 changes!

This is a lecture on learning text mining analysis techniques, big data analysis techniques, word frequency analysis, word cloud visualization, morphological analysis, and topic modeling analysis techniques utilizing Python and ChatGPT, covering how to utilize text mining data analysis techniques necessary for writing papers and basic application methods for research papers.

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

For those feeling overwhelmed by SQLD exam preparation, this is a standard course that analyzes the entire scope of the "Yellow Book," organizes the necessary theories through practice-oriented lessons, and solves every single problem. With short, concise clips and a topic-based structure, you can build the practical skills needed to succeed on the actual exam.

A practical beginner course that completes SQL fundamentals in just 3 hours

This course teaches Python-based text mining: basic theory and practice. It covers fundamental text mining data analysis for practical or thesis writing.

Skip the complex theories and concepts, and jump right into writing, practicing, and following along with SQL syntax!

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.

Is it enough to just search for past exam questions and pass the Google Analytics Individual Qualification (GAIQ)? A certification holds little meaning if you obtain it without knowing how GA4 is actually used in practice or how to query and utilize data. This course focuses on practical application, allowing you to directly examine reports and GA demo accounts, and even set up a demo shopping mall yourself. You will build the skills necessary for the field while solving the latest 2026 GAIQ exam questions.

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.)

SQLD, where do I even start? This course is for those who feel completely lost - you'll meet a transformed version of yourself after completing it. SQLD All-in-One Pass!

This is a free lecture designed to help those who are new to TEXTOM easily acquire text mining and big data analysis skills through hands-on exercises with examples, rather than focusing on fundamental theoretical explanations.

"SQLD is an exam where past questions are not officially released." Preparing for the upcoming 60th exam (2026.3.7)— Practical study material featuring 50 vividly reconstructed questions by subject and chapter, based on the latest 59th exam!

This course aims to obtain the state-certified SQLD (SQL Developer) certification. An SQLD refers to a developer who can write accurate SQL to manipulate and extract data while developing application software based on knowledge of databases and data modeling.

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.