Python Basics for Understanding AI

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

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

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

Let's manage projects efficiently and smartly through data science

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

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 look into how to deploy Abyss for non-majors!

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

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

Let's understand object-oriented concepts through Java programming and improve our program design and problem-solving skills!

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

Let's develop basic field knowledge of clothing science and the capabilities of a fashion specialist through understanding AI-based textile CAD!

Let's experience collaborative application development in a Linux shell and open-source software environment, and set up the development environment required for coding!

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

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

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

Leverage Python to learn machine learning techniques, improving real data information extraction and prediction model development skills!

Learn the fundamentals of website building and gain everything from web development basics to practical application skills through hands-on projects integrating public data Open APIs!

Let's understand and try policy evaluation with R and R Studio!

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!

This is the second half of the Python course, following the introductory course. The goal is to complete the loops and collections, and additionally, it would be ideal to be able to utilize Python's special syntax.

This is a basic Python course for non-major beginners. Theory textbooks are provided through Wikidocs, and practice materials are provided through Github.

Learn about the basics of Python required for data analysis, the data analysis framework (pandas), and the data analysis process.

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

AI does the coding, I get the results! Maximize practical programming skills, achievable even for beginners!

Data analysis sounds a bit grandiose, but it is actually a process of establishing a hypothesis and verifying it based on data. You can learn how to analyze what data to verify your hypothesis using Python.

Learn about Python NumPy, a representative library in the field of data science. Learn NumPy and lay the foundation for learning data science!

I recommend this to those who want to possess their own technical skills and those who want to learn web development step-by-step. We teach everything starting from the history of web browsers and languages.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

This is a basic DFS lecture that explains the way a liberal arts major and working developer studied to get a job :) We have prepared a lecture where you can learn by solving problems yourself, with minimal boring theory lectures! After taking this lecture, you will be able to solve silver level DFS problems on your own according to Baekjoon standards.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

A course to truly make you a hands-on game developer. Push your limits with 4 hands-on projects and 3 AI-specialized games!

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

In this course, you will learn the basics of Raspberry Pi and Python and practice creating simple but essential self-driving car and remote home monitoring projects.

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.