這門課的目標為學習如何運用Python語言進行數據分析。透過實作練習和案例，建立程式設計和數據分析的知識。課程首先從Python的語法開始，並逐步延伸至進階內容，例如人工智慧與機器學習的應用。
同時，學生將學會熟悉Python開發工具的操作，培養能夠編寫Python應用程式的實際技能。作為一個廣泛應用的程式語言，Python適用於商業數據分析、金融科技、影像處理等多個領域。跨領域的學習能力將有助於提升畢業後進入職場的競爭力，並有較廣泛的職業發展機會。The goal of this course is to learn how to use Python for data analysis. Establish knowledge of program design and data analysis through practical practice and cases. The course starts with Python's syntax and gradually extends to advanced content, such as the application of artificial intelligence and machine learning.
At the same time, students will learn to be familiar with the operation of Python development tools and develop the actual skills that can edit Python applications. As a widely used programming language, Python is suitable for business data analysis, financial technology, image processing and other fields. Cross-domain learning ability will help improve your competitiveness in entering the job after graduation and have a wider range of career development opportunities.
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 name: Python Large Data Special Training Course (third edition): Automatic data collection, organization, cleaning, storage, analysis and application combat (with 320-minute audio/sample program)
Author: Wen Jing Ding Studio
2. AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning 1st Edition, Tobias Zwingmann (Author), 2022.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與課堂參與 Class Participation |
20 | |
| 平時作業平時作業 Normal operation |
25 | |
| 期中考期中考 Midterm exam |
25 | |
| 期末專案期末專案 Final period project |
30 |
