(Python) Anyone can get started with Kaggle (feat. Local University/Non-Major/Humanities Student)

This introductory course, designed to be the easiest and most practical for Python beginners, covers intuitive dashboards using Streamlit, Google Cloud Platform for deployment, and more. Additionally, you can also prepare for the 빅데이터 분석기사 practical exam.

We'll teach you the true essence of object-oriented programming. Knowing terms and syntax like class, object, self, super(), and interface doesn't mean you understand object-oriented programming. Object-oriented programming is not simply a collection of syntax, but rather a philosophy on how to solve the problems of increasingly complex software. You can only use it properly when you understand the history and philosophy behind it. In this course, we first explain what problems object-oriented programming was created to solve, and what kind of thinking and design philosophy it embodies, independent of any specific language. Then, using Python as a tool, we gradually cover through hands-on practice how object-oriented concepts are designed and implemented in actual code. Through this course, you'll gain not object-oriented programming that merely follows syntax, but object-oriented programming that you can think through and design, and object-oriented thinking skills that remain solid even when the language changes.

From the basics of Numpy and Pandas to data preprocessing, visualization, and crawling, all in one place! This is an introductory Python course for data analysis.

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by solving the practice problems at the end of each part!

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.

Solve coding test problems using Python.

This is an introductory course in computer science and programming at MIT.

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.

Through this course, you can learn SQL and database fundamentals, SQL syntax, database design for practical applications, database utilization through programming, and data analysis use cases.

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

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. :)

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

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

Anyone can easily create a Python game using the Pygame library, starting from zero base.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

This is a Python course provided by Shop2World, which provides overseas direct purchase sale information.

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.

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

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

This course provides a complete introduction to programming with Python. You will start from the very basics and gradually build up to writing more advanced scripts and solving real-world coding challenges. With step-by-step explanations, practical exercises, and projects, this course is perfect for anyone looking to start their coding journey or strengthen their foundation in Python.

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.