在金融科技（FinTech）、人工智慧（AI）與大數據分析快速發展的時代，資料分析能力已逐漸成為財經領域的重要技能。
本課程將介紹如何運用 Python 進行金融與商業數據分析，並透過實作案例了解數據分析與人工智慧在金融科技及商業決策中的應用。
課程內容從 Python 基礎語法開始，逐步延伸至資料處理、資料視覺化、機器學習與人工智慧應用。
Python 已廣泛應用於金融機構、科技公司及數據分析相關工作。本課程除了介紹技術工具，也希望讓同學們了解資料分析如何協助金融科技發展及企業決策，提升未來在金融、科技及商業領域的職場競爭力。

In an era of rapid development of financial technology (FinTech), artificial intelligence (AI) and big data analysis, data analysis capabilities have gradually become an important skill in the financial field.
This course will introduce how to use Python for financial and business data analysis, and learn about the application of data analysis and artificial intelligence in financial technology and business decision-making through practical cases.
The course content starts from the basic syntax of Python and gradually extends to data processing, data visualization, machine learning and artificial intelligence applications.
Python has been widely used in financial institutions, technology companies, and data analysis-related work. In addition to introducing technical tools, this course also hopes to let students understand how data analysis can assist financial technology development and corporate decision-making, and enhance future workplace competitiveness in the fields of finance, technology and business.

1. 書名：Python大數據特訓班(第三版)：資料自動化收集、整理、清洗、儲存、分析與應用實戰(附320分鐘影音/範例程式)
作者：文淵閣工作室
2. AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning 1st Edition, Tobias Zwingmann (Author), 2022.

1. Book title: Python Big Data Special Training Course (Third Edition): Automatic data collection, sorting, cleaning, storage, analysis and application practice (with 320 minutes of video/example programs)
Author: Wenyuange Studio
2. AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning 1st Edition, Tobias Zwingmann (Author), 2022.