Data Analysis Using Kim Il-han's Python-based Pandas

This lecture is a lecture by instructor Jaeseong Yoon, who teaches Android lectures at App School: Like a Cool Lion.

This course covers everything from JSP basics to a car purchasing shopping mall project. After completing the course, you will be able to carry out a real project right away. (This course does not provide Q&A.)

This course is a Java Android app development course consisting of a total of 4 parts. In the second lecture, we will look at the menu and the 4 major components through practical examples.

Easy explanations and examples are provided so that you can apply them directly to your work.

You can understand JSP WEB MVC Model2 Programming and learn how to apply it in practice through the MVC Model2 bulletin board project. (This lecture does not provide Q&A with the instructor.)

By completing this course, you can acquire server programming skills using Node.js.

This course teaches you how to develop front-end web using React. You will learn the core JavaScript grammar for React, CDN-based React development, and NPM-based React development methods.

Learn C# in the Unity environment. Learning C# will help you naturally learn the Unity development environment, which will be very beneficial for beginner developers.

This is the UI programming course for Android 15 version app development with the latest Materai 3 library, part 1.

With the latest version in 2024 and a running time of 17 hours and 48 minutes, you can completely conquer Kotlin with this one course.

Using Unity based on the C# language, you will learn how to create a defense game step by step.

Develop three practical projects (memo application, LBS application, bulletin board application using FireBase).

You can learn the basic principles of run games like Cookie Run and create Unity games through practical projects in Unity by genre.

This course is a Java Android app development course consisting of a total of 4 parts. In the third lecture, we will look at data management and networks in Android apps.

This course is a course to learn the basics of Python Windows programming. It enhances understanding by explaining how to use widgets and providing sample codes.

This course is a course to learn the basics of Python grammar. It enhances understanding by combining grammar explanations with sample code. Learn basic Python libraries.

In this course, you will learn how to use the Tensorflow library to make data predictions. You will learn data analysis and processing methods that can be applied in practice by learning the library and analyzing sample data in parallel.

You can master mobile UX design practices using Adobe XD. (Study materials and practice files provided)

This course is a course where you can learn the Spring Framework. Most courses only introduce the Spring MVC Project, so you will not be able to properly understand the terms, concepts, and operating principles, and you will learn without knowing how it works.

This course will teach you the basics of VueJS and practical development methods through mini-projects. Applying VueJS makes web application development easier and reduces the burden on the server, making it a trendy development method. If you learn this course, you will be able to develop using the web development method that is widely used these days.

Using pandas, we will learn data processing patterns that frequently appear in real-world situations and analyze the processed data.

We will cover the major Python libraries that you must learn to become a data analysis expert.

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 course will teach you how to analyze data using ChatGPT and how to use Pandas. Experience the future changes that ChatGPT will create.

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>.

In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.

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

We will guide you so that non-majors and beginners can quickly acquire the practical skills of a big data analyst! We cover the essential Python, Pandas, and machine learning!

Introductory lecture on recommendation systems by Datalian, who has over 10,000 cumulative students and rich online/offline lecture experience. Learn the basic theory of recommendation systems and practice movie data analysis together.

This course is redesigned, unlike existing courses, to help you easily understand machine learning and apply it to real-world problems, based on the instructor's own failures when they first learned machine learning.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.