Python Programming

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

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

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 how to use Git and GitHub and use them for collaboration!

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

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!

Let's manage projects efficiently and smartly through data science

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 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!

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!

Are you a digital talent interested in coding and the Internet of Things (IoT)? Get started with programming through MicroPython!

Are you a digital talent interested in coding and development? Get started with programming with p5.js & ml5.js!

Python, a language that makes it easy to get started with programming

Easy to learn Python

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

Have you studied Python syntax but felt lost when it came to actually handling data? You know you need to learn NumPy and Pandas, but if you've been wondering where to start and how to connect them, this PART 2 is the answer. In PART 2 of our 50-lecture data analysis curriculum, you will experience the step-by-step process of loading, cleaning, processing, and statistically interpreting real data. You won't just learn libraries and syntax; you will establish criteria for which tools to choose in specific situations. PART 2 is the turning point where you move from simply knowing Python code to actually being able to handle data.

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.

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.

Learn Python coding. Learn design scripting with Rhino3d Grasshopper. Learn creative coding such as computational thinking, parametric, and generative design.

Let's find out how to automate tasks using Python!

If you are planning a service, a website is an essential element. Of course, beyond services, most current program infrastructures operate based on the web. The purpose of this course is to learn how to create a website using Python, which is considered one of the easiest programming languages, and to set it up for actual operation.

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

This is a lecture for people who are starting development for the first time. It's about programming thinking, which should come before development languages or UI frameworks.

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.

A course where you can create programs for running a blog using Python and generate additional income through sales and branding.

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

Solve coding test problems using Python.

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

This course is an AI music generation introductory program designed so that even learners who are new to artificial intelligence (AI) technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and proceed step-by-step through hands-on practice to create your own music using these tools. Going beyond simply pressing buttons to make music, this course guides you to understand the principles of AI models and the key factors that influence music generation, and to complete creative results by adjusting the desired atmosphere, genre, and instrumental composition. Upon completing the course, you will gain confidence in using AI in a friendly manner, along with AI music generation capabilities that can be applied to various fields such as daily life, projects, and content creation.

Do you manually type in numerous commands every time you build a complex project or create a deployment package? Currently, most open-source projects use build automation scripts to save the trouble of typing commands. Do you also find building tedious? Then use this course to automate your builds and increase your work efficiency.

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