お金を与えて学ぶ必要はないようです。

lowkey

本授業では、PythonのPandasライブラリを活用して、さまざまな形の金融データを分析して処理する原理と方法について学び、これを実戦に直面できる状況に適用してみて、最終的には財務諸表データに基づくバックテスト（backtesting）を実装する方法ベース）について学びます。その結果、投資ロジックの検証や根拠なしに、単に他人が良いということだけに従う＆＃x27;パッシブ投資家＆＃x27;として活用してデータから自由自在に抽出して定量的に分析できる自己主導的で能動的な投資家になることができます。

rightx2

인프런 10주년! 사랑주간 전체 할인

Python（Python）でデータベースの株式クォントを投資するPart1

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.

DeepingSauce

입문

초급

중급이상

판다스

Pandas

Investment

Quant

Data-driven stock quant investment with Python Part 1

Orientation

System Trading Definition & Basic Composition

Pandas Core Data Types: Series and DataFrame

Weapon for Dissecting Data, Pandas API

Analyzing by Grouping, Split - Apply - Combine

How to combine multiple datasets?

Communicative Power Far Exceeding Numbers, Visualization

Apply learnings directly in the Final project! Financial statement based backtesting

Summary & Wrap-up