クアント投資のためのPythonトレーディングルームを作る - パート2

In an environment without a design team, product proposals, or a PM, how can we plan, deliver, and persuade? Kim Young-jun, former 29CM Product Design Lead, will share his self-product strategy focusing on Figma, along with practical case studies. Learn in detail everything from how to survive in a structureless environment to how to build structure with just Figma.

The best introductory programming course that has already been taken and enjoyed by over 20,000 people. This introductory programming course was planned and prepared by Inflearn from the perspective of a non-major, and helps people who have never touched programming before to develop programming skills that can be used in real life.

Learn Figma, the most widely used collaboration tool in the world! Learn the basics of Figma, a design tool for UI design sketching, prototyping, and collaboration, and how to use it in practice.

Based on basic Python grammar knowledge, we will gradually increase the difficulty level from easy to difficult examples. During this process, you will learn how to study on your own, acquire solid grammar knowledge, and firmly establish your basics. In addition, we will learn frequently used patterns in Python programming.

This course is designed to cover the grammar of multi-threading, multi-processing, parallelism, and concurrency based on OS knowledge in preparation for technical interviews. You will learn basic knowledge about how to increase execution efficiency with multiple resources.

In this lecture, we will look at service planning and design methodologies for planning services in the IT/tech field, as well as various soft skills that service planners must have. Finally, we will analyze the service using the example of an AI voice recognition service, a UX service introductory lecture for beginners.

This course focuses on teaching high-level grammar so that learners who have learned the basics of Python can apply Python to practical use. By understanding the unique features of Python and learning them quickly, you can become familiar with intermediate-level programming.

This is an introductory web development course for those who are starting programming for the first time. You will learn HTML, CSS, and Javascript and create an Instagram posting card to learn the basic content that is essential for creating a web page.

This course is designed to cover Python metaprogramming and in-depth grammar based on extensive Python development experience and online and offline teaching experience. Furthermore, we have prepared a curriculum that will be helpful for Python job seekers' interviews and technical interviews for experienced professionals. In addition, we will explain the process of directly distributing the library you created to PyPI (Python Package Index).

This is a basic UI design course for those who want to become a new UI/UX designer or learn about UI design. You will learn basic knowledge about UI design and design tips that are essential in practice.

This is a class that teaches intermediate and advanced level data analysis and visualization chart creation methods to those who can handle Excel basics. With this class, you can master Excel completely!

Leverage Python to create your own indicators and a convenient tool for securities analysis!

You can meet Excel as a data analysis tool that can add value to your work. This is a basic Excel course that teaches concepts in a broad and thorough manner from the basics.

How are product design and education changing in the AI era? Figma Official Community, FoF Seoul & Educators jointly hosted a meetup. Discover various cases and topics on AI-era product design and education, along with relevant sessions from global industry speakers who love Figma.

The fact that you can analyze data more easily and effectively with Python Pandas instead of Excel! Learn the basic functions of the Pandas library and how to use it in practice through financial data analysis.

Java basic concepts, learn them all at once in this lecture. Also, learn them through practical examples such as academic management program, daycare meal management, etc.😀

Learn about the concept of UX (User Experience) and explore today's UX design processes and design trends, and learn about the concept of UX/UI in general.

This is a live video of Jung Heung-soo from Heung Button, which was broadcasted on January 23 as part of the <2025 Know Yourself Know Your Enemy Relay Live Campaign>.

It explains the basic concepts step by step and helps you gain practical knowledge by practicing creating various applications that actually run in a web environment. If you complete this course, you will be ready to work as a programmer.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

Leverage Python to create your own indicators and a convenient tool for securities analysis!

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.

This is a lecture on creating an automatic stock trading bot using the IBK Investment & Securities Xing API. Create your own automatic stock trading bot that trades automatically 365 days a year.

A process to upgrade from a beginner in Python to a Python practitioner! Learn about data analysis and data visualization using Python, and increase your ability to use it for company work through real-world projects.

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

🚀 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.

Let's develop specialized skills in programming skills, algorithm skills, and statistical analysis skills!

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.

AI that thinks and adapts? Now you can build it yourself. Master the core of reinforcement learning with intuitive explanations and code, not complex theories, and grow into a 'practical developer' through finance and industry projects.

In this lesson, we will create a program that creates a logic that can generate profits, buys and sells Bitcoin through an exchange according to that logic, and receives the results of the transaction via Telegram.

This lecture is for beginners who are new to coding, as well as those who want to try out various uses of Python, covering basic concepts of Python, Numpy, Pandas, Plotly, Django, and crawling, as well as simple data analysis.

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

If you're just learning Python and don't know what you can do or what you should do? Let's learn how to use web technologies with Python, such as web crawling, automation, and APIs.

ChatGPT: How Far? Series, Stock auto-trading app & web inv. report creation!

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.

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>.

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.

Those who have learned the basics of Python will learn how to utilize Python after watching this lecture.