This course is designed for beginners, students, and those who want to use Polars, aiming to acquire the necessary skills for data analysis, from basic concepts of the Python-based data analysis library Polars to simple data processing and exploratory data analysis (EDA).

This course is for those who want to learn DDD but feel lost on "how to apply it to a real project." In this course, we will implement DDD design from start to finish by **building an actual ordering system** based on Spring Boot. The focus is not on simple theory, but on "structures and code that can be used immediately in practice." After taking this course, you will be able to: ✔ Design DDD-based projects on your own ✔ Implement professional-level structures yourself

Hashing, salting, JWT, symmetric and asymmetric keys, and even HTTPS and TLS. The backbone of security that we use every day yet always found vague and unsettling. If we have to face the countless neglected threats and technical debt someday, let’s properly tackle them once and for all this time.

This is a curriculum full of Captain's personal feelings, an 8-year full-stack developer who fell in love with coding. It is filled with Captain's desire to teach everything about the backend! As you listen to this lecture, you will find yourself thinking, 'Does he really teach this much?' Let's start with this lecture that thoroughly explains even the parts that everyone finds difficult.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

This course develops a REST API that satisfies Self-Descriptive Message and HATEOAS (Hypermedia as the engine of application state) using various Spring technologies.

There was a rumor that Ediya Coffee always opens its stores near Starbucks. How much of a difference is there really between the store locations of Ediya and Starbucks? Will the real estate price fluctuation trends from 2013 to 2019 be reflected in apartment pre-sale prices as well? What kind of parks are in my neighborhood? How can we best utilize the data available on the Public Data Portal? The goal is to become familiar with Python and various data analysis libraries by working with different types of data through public data.

No more encyclopedia-style lectures from A to Z! A reference-style lecture that gathers only the essentials you can apply directly to real-world practice!

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

Python Web Development A to Z: Learning by Doing! Learn everything from web basics to blog development and deployment all at once.

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.

We’ll guide non-majors and beginners to quickly earn the Big Data Analysis Engineer practical certification! Keep the theory light and the practical training solid. Even without complex background knowledge, you’ll focus on past exam questions and study only the key points that are sure to appear on the test.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

Build data-driven investment strategies with Python quant investing and put them into practice. You can implement various asset allocation strategies and ultimately create your own unique investment strategy.

Learn about the latest technology trends and practical insights through presentations by leaders of the Python ecosystem, including NumPy creator Travis Oliphant, Polars creator Ritchie Vink, Python Software Foundation leaders, and Django core contributors. We will also explore the future of Python in the AI era and the role of the community.

Creating your own data analysis portfolio with Google Antigravity CLI harness engineering and vibe coding: data collection, analysis, reporting, dashboard creation, and task automation. Even if you are new to data collection, once you master the principles, prompt engineering, and how to use Antigravity, you can perform data collection, analysis, visualization, reporting, and dashboard creation just like a data analyst. From Python data collection to report writing learned with Antigravity IDE and CLI. Prompt writing and error resolution methods for foolproof data collection and analysis.

You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

Linear Algebra in One Go. Learn linear algebra concepts in detail—concepts that, once learned, will serve as the building blocks for your thinking for a lifetime. Going beyond simple explanations, we kindly guide you through practical exercises to show you how to apply them in real-world situations.