Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-Driven Approach

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You'll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.

Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.

Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.

What You Will Learn

• Master the mathematical foundations required for business analytics
• Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task
• Use R and Python to develop descriptive models, predictive models, and optimize models
• Interpret and recommend actions based on analytical model outcomes

Who This Book Is For

Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

本書介紹了如何利用數據解決商業問題。它探討了使用數據發現隱藏的模式和關係、預測未來結果、優化效率和提高組織績效的各種分析技術。您將學習如何通過應用統計學、概率論和線性代數的概念來分析數據。在這個新版本中，我們使用R和Python來演示這些分析。《實用商業分析：使用R和Python》還新增了關於數據庫、SQL、神經網絡、文本分析和自然語言處理的章節。

第一部分首先介紹了分析學、執行數據分析所需的基礎知識，並解釋了不同的分析術語和概念，如數據庫和SQL、基本統計學、概率論和數據探索。第二部分介紹了使用統計機器學習進行預測建模的概念，並討論了回歸、分類和神經網絡等概念。第三部分涵蓋了兩種最受歡迎的無監督學習技術，即聚類和關聯挖掘，以及文本挖掘和自然語言處理（NLP）。本書最後概述了大數據分析、R和Python在分析中的基本知識，包括pandas和NumPy等庫。

通過閱讀本書，您將了解如何利用R和Python進行數據分析，從而改善業務結果。

您將學到什麼：

- 掌握商業分析所需的數學基礎
- 了解各種分析模型和數據挖掘技術，如回歸、監督機器學習算法、無監督建模技術，以及如何在任務中選擇正確的算法進行分析
- 使用R和Python開發描述性模型、預測模型和優化模型
- 根據分析模型的結果進行解讀和建議行動

本書適合對使用R和Python進行分析的軟件專業人員、開發人員、經理和高管。

Dr. Umesh Hodeghatta Rao is an engineer, a scientist, and an educator. He is currently a faculty member at Northeastern University, MA, USA, specializing in data analytics, AI, machine learning, deep learning, natural language processing (NLP), and cyber security. He has more than 25 years of work experience in technical and senior management positions at AT&T Bell Laboratories, Cisco Systems, McAfee, and Wipro. He was also a faculty member at Kent State University, Kent, Ohio, USA and Xavier Institute of Management, Bhubaneswar, India. He has his master's degree in Electrical and Computer Engineering (ECE) from Oklahoma State University, USA and a Ph.D. from the Indian Institute of Technology (IIT), Kharagpur. His research interest is applying AI Machine Learning to strengthen an organization's information security based on his expertise on Information Security and Machine Learning. As a Chief Data Scientist, he is helping business leaders to make informed decisions and recommendations linked to the organization's strategy and financial goals, reflecting an awareness of external dynamics based on a data-driven approach.

He has published many journal articles in international journals and conference proceedings. In addition, he has authored books titled "Business Analytics Using R: A Practical Approach" and "The InfoSec Handbook: An Introduction to Information Security" published by Springer Apress, USA. Furthermore, Dr. Hodeghatta has contributed his services to many professional organizations and regulatory bodies. He was an Executive Committee member of IEEE Computer Society (India); Academic advisory member for the Information and Security Audit Association (ISACA), USA; IT advisor for the government of India; Technical Advisory Member of the International Neural Network Society (INNS) India; Advisory member of Task Force on Business Intelligence & Knowledge Management; He is listed in Who's Who in the World in the year 2012, 2013, 2014, 2015 and 2016. He is also a senior member of the IEEE, USA.

Umesha Nayak is a director and principal consultant of MUSA Software Engineering Pvt. Ltd. which focuses on systems/process/management consulting. He has 33 years experience, of which 12 years are in providing consulting to IT / manufacturing and other organizations from across the globe. He is a Master of Science in Software Systems; Master of Arts in Economics; CAIIB; Certified Information Systems Auditor (CISA), and Certified Risk and Information Systems Control (CRISC) professional from ISACA, US; PGDFM; Certified Ethical Hacker from EC Council; Certified Lead Auditor for many of the standards; Certified Coach among others. He has worked extensively in banking, software development, product design and development, project management, program management, information technology audits, information application audits, quality assurance, coaching, product reliability, human resource management, and consultancy. He was Vice President and Corporate Executive Council member at Polaris Software Lab, Chennai prior to his current assignment. He has also held various roles like Head of Quality, Head of SEPG and Head of Strategic Practice Unit - Risks & Treasury at Polaris Software Lab. He started his journey with computers in 1981 with ICL mainframes and continued further with minis and PCs. He was one of the founding members of the information systems auditing in the banking industry in India. He has effectively guided many organizations through successful ISO 9001/ISO 27001/CMMI and other certifications and process/product improvements. He has co-authored the open access book The InfoSec Handbook: An Introduction to Information Security, published by Apress.

Dr. Umesh Hodeghatta Rao 是一位工程師、科學家和教育家。他目前是美國麻薩諸塞州東北大學的教職員，專攻數據分析、人工智慧、機器學習、深度學習、自然語言處理（NLP）和網絡安全。他在AT&T貝爾實驗室、思科系統、麥克菲和威普羅等公司擔任技術和高級管理職位超過25年。他還曾在美國俄克拉荷馬州立大學和印度布巴內斯瓦爾的肯特州立大學和泽维尔管理学院擔任教職員。他擁有美國俄克拉荷馬州立大學的電氣和計算機工程碩士學位，以及印度理工學院哈拉格普爾分校的博士學位。他的研究興趣是應用人工智慧機器學習加強組織的信息安全，基於他在信息安全和機器學習方面的專業知識。作為首席數據科學家，他幫助企業領導者根據數據驅動的方法做出明智的決策和建議，反映出對外部動態的認識，並與組織的戰略和財務目標相關聯。

他在國際期刊和會議論文集上發表了許多期刊文章。此外，他還撰寫了由Springer Apress出版的書籍，題為《使用R進行商業分析：實用方法》和《信息安全手冊：信息安全入門》。此外，Hodeghatta博士還為許多專業組織和監管機構提供了服務。他曾是IEEE計算機學會（印度）的執行委員會成員；美國信息與安全審計協會（ISACA）的學術顧問成員；印度政府的IT顧問；國際神經網絡學會（INNS）印度的技術顧問成員；商業智能和知識管理工作組的顧問成員；他在2012年、2013年、2014年、2015年和2016年的《世界名人錄》中有名。他還是美國IEEE的高級會員。

Umesha Nayak 是MUSA軟體工程有限公司的董事和首席顧問，該公司專注於系統/流程/管理諮詢。他擁有33年的經驗，其中12年在為來自全球各地的IT/製造和其他組織提供諮詢服務。他擁有軟體系統的碩士學位、經濟學的文學碩士學位、CAIIB資格、美國ISACA的認證信息系統審計師（CISA）和風險和信息系統控制（CRISC）專業資格、PGDFM資格、EC Council的認證道德駭客、多個標準的認證主審等。他在銀行、軟體開發、產品設計和開發、項目管理、程序管理、信息技術審計、信息應用審計、質量保證、教練、產品可靠性、人力資源管理和諮詢等方面有豐富的工作經驗。他在目前的職位之前曾是波拉里斯軟體實驗室的副總裁和企業執行委員會成員。他還曾擔任波拉里斯軟體實驗室的質量主管、SEPG主管和風險與財務戰略實踐單位主管等職位。他從1981年開始接觸計算機，先是ICL大型機，然後是小型機和個人電腦。他是印度銀行業信息系統審計的創始成員之一。他有效地指導了許多組織成功通過ISO 9001/ISO 27001/CMMI和其他認證以及流程/產品改進。他是由Apress出版的開放存取書籍《信息安全手冊：信息安全入門》的合著者。