用 Python 做商管程式設計（二）(Programming for Business Computing in Python (2))

National Taiwan University via Coursera

Go to Course: https://www.coursera.org/learn/pbc2

Introduction

# Course Review: Programming for Business Computing in Python (2) ## Overview "Programming for Business Computing in Python (2)" is a sequel to the first installment of the course, designed for those looking to deepen their knowledge and skills in Python programming, particularly in the context of business applications. This course, offered on Coursera, takes students on a journey through essential concepts such as functions, strings, common data structures, file handling, and exception management. All of this culminates in a practical example of data analysis within the financial sector, giving learners the chance to apply their programming skills to real-world situations. ## Syllabus Highlights ### 1. Functions and Fruitful Functions The course begins with a thorough exploration of functions, which are fundamental in developing structured, useful, and maintainable code. Students will learn how to effectively create and utilize functions, making their programming work more manageable for themselves and their colleagues. This module emphasizes the importance of understanding functions, reinforcing how they contribute to efficient coding practices. ### 2. Strings Next, the course delves into string manipulation, a pivotal data type in Python. Participants will get hands-on experience with basic string operations, enhanced by practical examples such as validating Taiwanese ID numbers. This segment also addresses challenges related to processing Mandarin text and concludes with techniques for formatting strings for output, an essential skill for data presentation. ### 3. Data Structures, File Handling, and Exception Handling The third module focuses on several commonly used data structures such as Tuples, Dictionaries, Sets, and Datetime. Understanding these data structures is crucial for efficient data manipulation and problem-solving. Moreover, the course introduces file reading and writing concepts, which are vital for handling data sets in practical scenarios. Exception handling is also covered, teaching students how to manage and define behaviors for error scenarios, ultimately leading to more robust and user-friendly programs. ### 4. Financial Data Analysis with Python The final module is particularly practical, as it applies programming knowledge to analyze financial data, specifically stock returns. Students will learn the basics of asset pricing models and will analyze daily stock return data using these models. This segment also introduces fundamental data visualization tools, crucial for interpreting and presenting data effectively. ## Recommendations This course is ideally suited for those who have completed the introductory course and are eager to expand their Python programming knowledge, specifically in relation to business applications. Here’s why I recommend it: 1. **Structured Learning**: The course is well-structured, allowing students to build upon their existing knowledge systematically. Each topic is interlinked, ensuring a cohesive learning experience. 2. **Practical Application**: The focus on real-world scenarios—such as financial data analysis—enables students to apply their learning directly to situations they may encounter professionally. 3. **Comprehensive Coverage**: The curriculum covers essential programming concepts thoroughly, making it suitable for learners at an intermediate level who wish to solidify their skills. 4. **Supportive Community**: Coursera’s platform fosters a sense of community among learners, providing opportunities for discussion, collaboration, and support, which can greatly enhance the educational experience. 5. **Flexibility**: As an online course, it offers flexibility, allowing you to learn at your own pace, making it convenient for working professionals. ## Conclusion In conclusion, "Programming for Business Computing in Python (2)" is a valuable course that not only reinforces fundamental programming concepts but also equips learners with practical skills applicable in the business world. Whether you're looking to progress in your career or simply wanting to enhance your programming skills, this course is a fantastic choice. I highly recommend enrolling to take advantage of its comprehensive curriculum and hands-on approach to learning Python in a business context.

Syllabus

函數 (Functions and Fruitful Functions)

函數是發展有結構的，有用的，易維護的程式必備的工具。適當的使用函數可以讓你自己以及與你一起工作的伙伴們可以有效率的建構出有用的程式碼。讓我們一起來學習這個重要的主題吧!

字串 (Strings)

字串是常用的資料型別，也是很多情境中程式操作的對象。我們將介紹字串的基本操作，輔以台灣身分證字號驗證的例子，並且討論中文處理的一些議題。最後介紹格式化字串輸出的一些方法。

資料結構 (Data Structure)、檔案讀寫、與例外處理

本週將介紹三個議題。首先將介紹幾個常用的資料結構，如Tuples, Dictionary, Set, Datetime等。這些資料結構可以幫助你更有效率的完成任務。接下來將介紹檔案讀寫的觀念與做法。最後將說明例外處理。例外處理可以讓我們自己定義程式遇到錯誤時的行為，這常常可以讓你的程式更成熟，更人性，更流暢。

用 Python 分析財金資料

本週將以分析股票報酬為例，介紹資料分析的流程。我們將先簡單的介紹資產定價模型，然後以這個模型為基礎，分析股票日報酬資料。最後並介紹基本資料視覺化的工具。