Anyone can learn data analysis with Chat GPT. You can learn how to apply it in practice through various analysis exercises. (Absolutely!! ChatGPT paid version is required!)

Python Basecamp is a course for beginners who want to learn the basic concepts of Python. Improve your skills through basic concepts and practical examples.

This is a Chrome Developer Tools tutorial for front-end developers. It covers various features and tips that are useful when developing.

Generative AI for Designers🧙‍♂️ We reveal practical know-how to maximize design work efficiency with generative AI like Canva and Midjourney.

This class is for anyone who wants to become a SW instructor and provides a curriculum, materials, and the know-how and tips from a 15-year veteran instructor.

You can review the basic concepts you need to know to prepare for the upcoming coding test and solve algorithm problems using Python and Javascript.

If you want to create a web page, learn HTML/CSS. You can implement various contents and designs with HTML, which defines the structure of the web page, and CSS, which defines the style of the web page.

Essential for web development! Learn JavaScript, a popular language widely used in various fields, with fundamental concepts and practical examples!

Django Base Camp is a course where you can systematically learn the core of the Django web framework from beginner to intermediate level. You can quickly develop the ability to build web applications through project-oriented, practical classes.

Say goodbye to complicated collaboration tools! 👋 From Markdown to databases, the essential skills of a workaholic can be done with Notion 🚀

Let's make a game similar to the once popular vampire survival game using Phaser 3! The actual vampire survival game was also made with phaser. Once you make it, you can make the game you want! :)

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

No more toy projects! We're revealing all the secrets to building a secure authentication system with JWT and Redis, actually used by developers in the field.

A basic textbook and practical guide covering principles and practical uses of various generative AIs like ChatGPT and Claude, and for their effective introduction and utilization.

Jeju Coding Base Camp's free lecture is back!! Let's create a 10,000-hour rule service together and distribute it to Github!! :) You don't know anything? That's okay. Everything is prepared in this lecture!

Let's dive into the world of Python GUI programming using PyQt! This is a course that teaches you how to create calculator-like programs using Python! We'll have fun solving problems such as translators using the Googletrans library, calculators, and image recognition programs that combine AI technology. :)

Can you answer the question, "Why do we need classes? 🤔" This covers everything Python developers should know about Python classes!

King Basic🐥, only for those who say they have no more words to describe me.👂 Concepts go to the universe🚀, King Basic practice day and night✍, learn SQL with your hands!✋ No installation required.🔥 Here is the lecture restaurant, Jecobe!🎉

Know! Well! Just! Neatly! Sensefully! This is a free lecture on the GitHub core concept book. You can download the book and Notion link for free. It is a non-profit project, so using the textbook is allowed without permission.

New to both Blender 3D and 3D in general? A 3D KakaoTalk emoticon creator will directly teach you in this beginner-friendly 3D introductory course.

No more encyclopedia-like lectures from A to Z! A reference lecture that only collects the best that can be applied directly to real life!

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

Son Heung-min's 100th goal project! Practical crawling & data analysis of Transfermarkt

This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.

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.

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

Learn how to collect data from the web and create a supervised learning model for machine learning!

Make AI data analysis and modeling results into a Web Program.