商品描述
Introduction: Elevate Your Analytics with Python
In today's data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector. Python for Excel Users: A Beginner's Guide is tailored for business students and professionals who are proficient in Microsoft Excel but are ready to embark on their Python journey. As a powerful and versatile programming language, Python has become indispensable in data analysis. This book bridges the gap between Excel and Python by providing parallel exercises that demonstrate how Python can amplify business analytics tasks with unmatched efficiency and flexibility.
Through its side-by-side comparisons, interactive Python exercises, and a "teachable moment" approach, this guide offers a unique and intuitive learning experience. By translating familiar Excel tasks into Python's dynamic and versatile ecosystem, you'll not only enhance your data analysis skills but also gain confidence in programming.
Why Python?
Did you know that Python powers cutting-edge technologies like ChatGPT? Indeed, Python forms the foundation of many machine learning algorithms, including large language models (LLMs). Python is more than a programming language; it's a tool for understanding and shaping the digital world. Despite its advanced capabilities, Python's simple, readable syntax makes it accessible to everyone - from professional software developers to citizen developers like you. Dubbed the "language of the people," Python is revolutionizing how we approach problem-solving and automation in the modern world.
Becoming Tomorrow's Tech- Savvy Leaders
The leaders of tomorrow are not just visionaries - they are innovators who harness the power of technology to drive change and inspire others. This book guides you through different scenarios to help you understand the connections between business questions and analytics steps we are taking.
As business students embracing Python, you're positioning yourselves as future-ready leaders equipped to navigate and excel in the complexities of modern business.
Welcome to a journey that will elevate your analytics, expand your technological fluency, and transform you into a tech-savvy leader of the future.
商品描述(中文翻譯)
介紹：用 Python 提升您的分析能力
在當今數據驅動的世界中，有效分析和解釋信息的能力比以往任何時候都更為重要，尤其是在商業領域。Python for Excel Users: A Beginner's Guide 專為熟悉 Microsoft Excel 的商業學生和專業人士設計，幫助他們開始 Python 的學習之旅。作為一種強大且多功能的程式語言，Python 在數據分析中已成為不可或缺的工具。本書通過提供平行練習，彌合 Excel 和 Python 之間的差距，展示 Python 如何以無與倫比的效率和靈活性增強商業分析任務。
通過並排比較、互動式 Python 練習和「可教學的時刻」方法，本指南提供獨特且直觀的學習體驗。通過將熟悉的 Excel 任務轉換為 Python 的動態和多功能生態系統，您不僅能提升數據分析技能，還能增強編程信心。
為什麼選擇 Python？
您知道 Python 驅動著像 ChatGPT 這樣的尖端技術嗎？事實上，Python 是許多機器學習算法的基礎，包括大型語言模型（LLMs）。Python 不僅僅是一種程式語言；它是理解和塑造數位世界的工具。儘管具備先進的功能，Python 簡單、可讀的語法使其對每個人都可及——從專業軟體開發人員到像您這樣的公民開發者。被稱為「人民的語言」，Python 正在徹底改變我們在現代世界中解決問題和自動化的方式。
成為明日的科技領袖
明日的領袖不僅是有遠見的人——他們是利用科技力量推動變革並激勵他人的創新者。本書將引導您通過不同的場景，幫助您理解商業問題與我們所採取的分析步驟之間的聯繫。
作為擁抱 Python 的商業學生，您正在為自己定位為未來準備好的領袖，具備在現代商業的複雜性中導航和卓越的能力。
歡迎踏上這段提升您分析能力、擴展技術流利度並將您轉變為未來科技領袖的旅程。
作者簡介
Dr. Chi-Chun Chou is a Professor of Accounting at the College of Business, California State University, Monterey Bay. His academic background encompasses both computer science and accounting, enabling him to broaden the scope of Accounting Information Systems (AIS), including Deep Learning, Large Language Models, Machine Learning, Data Analytics, Robotic Process Automation, and Blockchain. He has contributed scholarly articles incorporating various technologies to esteemed publications such as the Computers and Industrial Engineering, Journal of Information Systems, International Journal of Accounting Information Systems, and Journal of Emerging Technologies in Accounting and also serves as a Domain Editor for the Journal of Emerging Technologies in Accounting and is an Editorial Member for the Journal of Information Systems.
Tawei (David) Wang is a KPMG/Neil F. Casson Endowed Professor at DePaul University. He is currently an Associate Editor of Information and Management and the Co-Senior Editor of the Journal of Information Systems. His research interests are information security management and IT management, and his papers have appeared in several leading journals, including Accounting Horizons, Auditing: A Journal of Practice and Theory, Decision Support Systems, European Journal of Information Systems, Information and Management, Information Systems Journal, Information Systems Research, International Journal of Accounting Information Systems, Journal of Accounting and Public Policy, Journal of Banking and Finance, Journal of Information Systems, among others. He mainly teaches audit data analytics and has been invited by universities and conferences to discuss analytics teaching strategies. He was a Fulbright Specialist focusing on data analytics curriculum design in accounting programs.
作者簡介(中文翻譯)
陳啟俊博士是加州州立大學蒙特雷灣商學院的會計學教授。他的學術背景涵蓋計算機科學和會計，這使他能夠擴展會計資訊系統（Accounting Information Systems, AIS）的範疇，包括深度學習（Deep Learning）、大型語言模型（Large Language Models）、機器學習（Machine Learning）、數據分析（Data Analytics）、機器人流程自動化（Robotic Process Automation）和區塊鏈（Blockchain）。他已向多個知名期刊發表學術文章，這些期刊包括《Computers and Industrial Engineering》、《Journal of Information Systems》、《International Journal of Accounting Information Systems》和《Journal of Emerging Technologies in Accounting》，並擔任《Journal of Emerging Technologies in Accounting》的領域編輯，以及《Journal of Information Systems》的編輯委員。
王大維（David Wang）是德保羅大學的KPMG/Neil F. Casson講座教授。他目前是《Information and Management》的副編輯，以及《Journal of Information Systems》的共同資深編輯。他的研究興趣包括資訊安全管理和IT管理，他的論文已發表在多個領先的期刊上，包括《Accounting Horizons》、《Auditing: A Journal of Practice and Theory》、《Decision Support Systems》、《European Journal of Information Systems》、《Information and Management》、《Information Systems Journal》、《Information Systems Research》、《International Journal of Accounting Information Systems》、《Journal of Accounting and Public Policy》、《Journal of Banking and Finance》、《Journal of Information Systems》等等。他主要教授審計數據分析，並受邀至大學和會議討論分析教學策略。他曾擔任富布萊特專家，專注於會計課程中的數據分析課程設計。
