用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1)) from Coursera

本系列課程從零開始，教授一般認為最適合初學者的程式語言「Python」，目標是讓大家在完成本課程之後，一方面獲得程式設計與運算思維的基本概念，一方面也能獨立寫出能解決運算問題的程式。本課程和一般程式設計課程最不同的地方，在於它是以解決商管領域的運算問題為導向，因此課程不會只含有質因數分解、紅球白球排列組合、三角不等式、萬年曆、數字排序等傳統程式設計課程的範例與作業，而是包含了生產、物流、存貨、投資、定價等問題，讓大家在學會程式設計的同時，也直接體會程式設計與資訊技術在商管領域的各種應用。

本系列課程共分為三門課程。本門課程做為第一門課程，將介紹程式設計的基本觀念、Python 語言的基本語法、選擇、迴圈、清單，並以作業管理領域的一些簡單演算法作結。

What's inside

Syllabus

什麼是「資訊管理」：資訊科技的商管應用

本週我們不寫程式，而是先看看資訊科技在商管領域的一些應用。現在幾乎沒有商業活動是不需要資訊系統輔助的，即使我們專注在「演算」這個面向上，也只能介紹一點點而已，但這應該足以讓大家感受到資訊科技能如何輔助企業經營與管理決策。換句話說，本週的課程也算是對「資訊管理」這個學科的一種簡介了。本週的最後幾個影片，是介紹在 Windows 和 Mac 作業系統上如何安裝並執行我們這門課要教授的程式語言 Python。如果是還不曾安裝與執行過 Python 的同學，歡迎根據自己的作業系統利用這些影片，為下週的課程預作準備；已經有相關經驗的同學可以直接進入下一週的課程。

Python 程式設計初探

本週我們開始介紹 Python 程式設計。我們從程式設計的基本概念切入，先介紹何謂程式設計，接著介紹 Python 程式語言的基本語法與程式開發環境。我們將介紹變數與運算的概念，並且讓大家透過 print() 和 input() 指令和電腦程式做第一次的互動。

條件式選擇與程式碼排版

本週我們介紹條件式選擇，說明如何用 if-else 敘述句來讓程式「看情況做選擇」，並且搭配邏輯運算子讓選擇判斷更具有彈性與威力；我們也介紹邏輯運算子並據此做更複雜的條件式選擇。此外，如果希望能有效率地開發程式，程式碼的良好排版是必要的，因此我們也用一點時間說明 Python 程式的排版原則。

電腦運作基本原理與迴圈結構

本週我們先深入介紹變數、型態、數值在電腦中儲存的方式，為後續課程打基礎。接著我們介紹迴圈結構，透過 while 和 for 敘述句，來讓程式反覆行動以完成（對人來說）困難的任務。有了條件式選擇與迴圈結構，我們就可以做到很多有趣的事了！我們將用神奇的小數點精確度問題結束本週的課程。

清單資料結構與作業管理演算法

進入課程的最後一週，我們將先介紹清單（list）資料結構，說明如何一次儲存和處理大批資料。帶著邏輯控制和清單的知識，我們將以一些作業管理（operations management）領域的議題和演算法來協助大家總整本課程的所學。我們將介紹生產排程（production scheduling）、存貨控制（inventory control）與物流運輸（logistics and transportation）的基本議題，並且為各議題各實做幾個演算法，引導大家感受程式設計在作業管理領域的應用。

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Designed for beginners, this course is a comprehensive introduction to Python programming aimed at management professionals

The course includes practical examples and projects in operations management to illustrate the applications of Python in the business world

Teaches the fundamentals of Python programming, including variables, data types, operators, and control flow

Provides a solid foundation for those interested in applying Python to solve business problems and improve operational efficiency

Introduces the concept of information management and highlights its applications in various business functions

Covers essential topics such as production scheduling, inventory control, and logistics management, providing practical knowledge for operations managers

Reviews summary

Python for business computing i

This course is an excellent resource for beginners interested in learning Python for business computing applications. With clear explanations and engaging examples, the instructor guides students through the fundamentals of Python, making it accessible even to those with no prior programming experience. The assignments provide ample opportunities to practice and reinforce the concepts learned in each lesson.

Comprehensive coverage of essential Python topics

"課程非常有深度，除了python的運用外，也講了很多關於程式設計的基礎與資管的概念。尤其是第五章的貪婪演算法，讓我重新認知了演算法是什麼概念。"

Emphasis on understanding the underlying principles

"老師講解的淺顯易懂，課後的作業也具有挑戰性，很適合想要認識Python的新手。"

Practical examples that demonstrate the usefulness of Python

"讚喔"

"老師很棒"

"深入淺出，可以活用於工作上"

Thought-provoking exercises that test understanding

"課程充實，題目有難度，學到很多，感謝老師!!"

Easy to follow, step-by-step guidance

"老師講解詳細，每堂課程的實作很能檢驗觀念，幫助我這個python初學者增進不少，謝謝！"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1)) with these activities:

學習 NumPy 函式庫

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NumPy 函式庫提供強大的數值運算功能，可擴展 Python 程式設計在運算密集型任務上的應用範圍。

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查找並觀看 NumPy 函式庫的介紹影片或文件
安裝 NumPy 函式庫並導入到 Python 開發環境
練習使用常見的 NumPy 函式，例如 numpy.array() 和 numpy.sum()
嘗試將 NumPy 函式庫應用到實際的運算問題中

開發一個小型 Python 應用程式

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實作一個小型 Python 應用程式可將所學知識應用於實際問題，並建立有形的成果。

Browse courses on Python

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構思一個應用程式的點子
撰寫程式碼並開發應用程式
測試應用程式並修正錯誤
部署應用程式並收集使用者回饋
更新並維護應用程式

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Career center

Learners who complete 用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1)) will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers are responsible for designing, building, and testing computer software. This course can be a great starting point for aspiring Software Engineers, as it provides a solid foundation in Python, which is widely used for web development, data analysis, and machine learning. By completing this course, you will gain the necessary skills to embark on a career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Software Developer

Software Developers design, build, and test computer software. Python is widely used for web development, data analysis, and machine learning. This course will provide you with the skills you need to use Python in your role as a Software Developer, and to build and deploy successful software applications.

See salaries and explore the career path for Software Developer

Data Analyst

Data Analysts collect, clean, and analyze data to help organizations make better decisions. Python is a powerful tool for Data Analysts, as it allows them to automate tasks, analyze large datasets, and create visualizations. This course will provide you with the skills you need to use Python in your role as a Data Analyst, and to drive data-driven decision-making in your organization.

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Data Scientist

Data Scientists use scientific methods and algorithms to analyze data, and to extract information and insights from it. Python allows Data Scientists to understand the various aspects of data, and to refine their analysis. As Python is a highly versatile language, Data Scientists can use it to automate tasks, clean data, and visualize insights. This course will help you to harness the power of Python to analyze data, and to gain a competitive edge in the job market as a Data Scientist.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. Python is widely used in the field of Machine Learning, as it provides a wide range of libraries and tools for data preparation, model training, and deployment. This course will help you to develop the skills you need to use Python in your role as a Machine Learning Engineer, and to build and deploy successful machine learning models.

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Business Intelligence Analyst

Business Intelligence Analysts use data to help organizations make better decisions. Python can be a valuable tool for Business Intelligence Analysts, as it allows them to automate tasks, analyze data, and create visualizations. This course will provide you with the skills you need to use Python in your role as a Business Intelligence Analyst, and to drive data-driven decision-making in your organization.

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Business Analyst

Business Analysts work to improve business processes and systems. Building a foundation in Python programming is ideal for aspiring Business Analysts, as the ability to interpret and analyze data, and create reports based on the insights gained is a key part of the role. In fact, almost all large-scale business decisions now depend on data. A background in Python will help you master this essential skill, and help put you into a position for success as a Business Analyst.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. Python is an increasingly common tool for Data Engineers, as it allows them to automate tasks, transform data, and create data visualization dashboards. This course will provide you with the skills you need to use Python in your role as a Data Engineer, and to build and maintain data pipelines that support your organization's data-driven decision-making.

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Statistician

Statisticians collect, analyze, interpret, and present data. Python can be a valuable tool for Statisticians, as it allows them to automate tasks, analyze large datasets, and create visualizations. This course will provide you with the skills you need to use Python in your role as a Statistician, and to make a significant impact in your field.

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Quant Analyst

Quant Analysts are experts in mathematics and statistics who use their knowledge to analyze financial data. The Python programming language has become an essential tool for Quant Analysts, as it allows them to build and test complex models, perform data analysis, and automate trading strategies. This course will provide you with a strong foundation in Python programming, and help you to understand how it is used in the field of Quantitative Finance.

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Operations Research Analyst

Operations Research Analysts apply analytical techniques to solve complex business problems. Python can be a valuable tool for Operations Research Analysts, as it allows them to build models, simulate different scenarios, and optimize solutions. This course will help you to develop the skills you need to use Python in your role as an Operations Research Analyst, and to make a significant impact on your organization.

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Financial Analyst

Financial Analysts use financial data to make recommendations about investments. Python is an increasingly common tool for Financial Analysts, as it allows them to automate tasks, analyze data, and create financial models. This course will help you to build a strong foundation in Python, and to develop the skills needed to succeed as a Financial Analyst.

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Cloud Architect

Cloud Architects design and manage cloud computing systems. Python can be a valuable tool for Cloud Architects, as it allows them to automate tasks, manage cloud resources, and monitor cloud performance. This course will provide you with the skills you need to use Python in your role as a Cloud Architect, and to design and manage cloud computing systems that support your organization's business objectives.

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Management Consultant

Management Consultants help organizations to improve their performance. A background in Python can be helpful, as it allows them to analyze data, build models, and create visualizations to support their recommendations. This course will provide you with the skills you need to leverage Python in your role as a Management Consultant, and to add value to your clients.

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Product Manager

Product Managers are responsible for managing the development and launch of new products. Python can be useful for Product Managers, as it allows them to analyze data, build prototypes, and create user interfaces. This course will help you to gain the skills you need to use Python in your role as a Product Manager, and to launch successful products.

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