Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-Driven Approach
暫譯: 實用商業分析：使用 R 和 Python 解決數據驅動的商業問題
Hodeghatta, Umesh R., Nayak, Umesha
相關主題
商品描述
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.
商品描述(中文翻譯)
這本書說明了數據如何在解決商業問題中發揮作用。它探討了各種分析技術，利用數據發現隱藏的模式和關係，預測未來的結果，優化效率並改善組織的表現。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，使用 R 和 Python 來演示這些分析。《使用 R 和 Python 的實用商業分析》還新增了涵蓋數據庫、SQL、神經網絡、文本分析和自然語言處理的新章節。
第一部分以分析的介紹開始，說明進行數據分析所需的基礎知識，並解釋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。第二部分介紹使用統計機器學習的預測模型，並討論回歸、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：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。
完成本書後，您將了解如何利用 R 和 Python 進行數據分析來改善商業結果。
您將學到的內容：
- 掌握商業分析所需的數學基礎
- 理解各種分析模型和數據挖掘技術，如回歸、監督式機器學習算法建模、無監督建模技術，以及如何為任何給定任務選擇正確的分析算法
- 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解釋並建議行動
本書適合對象：
希望了解和學習使用 R 和 Python 進行分析基礎知識的軟體專業人員和開發者、經理和高層主管。
作者簡介
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.
作者簡介(中文翻譯)
Dr. Umesh Hodeghatta Rao 是一位工程師、科學家和教育工作者。他目前是美國麻薩諸塞州東北大學的教職員，專注於數據分析、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 Bell Laboratories、Cisco Systems、McAfee 和 Wipro 擔任技術和高級管理職位，擁有超過 25 年的工作經驗。他曾是美國俄亥俄州肯特州立大學和印度布巴內斯瓦爾的 Xavier 管理學院的教職員。他擁有美國奧克拉荷馬州立大學的電氣與計算機工程 (ECE) 碩士學位，以及印度理工學院 (IIT) 卡哈爾古爾的博士學位。他的研究興趣是應用人工智慧機器學習來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，他幫助商業領導者做出與組織戰略和財務目標相關的明智決策和建議，反映出基於數據驅動方法的外部動態意識。
他在國際期刊和會議論文集中發表了許多期刊文章。此外，他還著有《Business Analytics Using R: A Practical Approach》和《The InfoSec Handbook: An Introduction to Information Security》兩本書，這些書籍由美國 Springer Apress 出版。此外，Dr. Hodeghatta 還為許多專業組織和監管機構提供服務。他曾是 IEEE Computer Society (India) 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；商業智能與知識管理工作組的顧問成員。他在 2012、2013、2014、2015 和 2016 年被列入《世界名人錄》。他也是美國 IEEE 的資深會員。
Umesha Nayak 是 MUSA Software Engineering Pvt. Ltd. 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 年專注於為來自全球的 IT/製造和其他組織提供諮詢服務。他擁有軟體系統碩士學位、經濟學碩士學位、CAIIB、ISACA 認證信息系統審計師 (CISA) 和認證風險與信息系統控制 (CRISC) 專業資格；PGDFM；EC Council 認證的道德駭客；多項標準的認證首席審核員；以及其他認證教練。他在銀行業、軟體開發、產品設計與開發、專案管理、程式管理、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領域有廣泛的工作經驗。在目前的職位之前，他曾擔任 Polaris Software Lab 的副總裁和企業執行委員會成員。他還在 Polaris Software Lab 擔任過質量主管、SEPG 主管和風險與財務戰略實踐單位主管等多個角色。他於 1981 年開始接觸計算機，使用 ICL 大型機，並隨後繼續使用小型機和個人電腦。他是印度銀行業信息系統審計的創始成員之一。他有效地指導許多組織成功通過 ISO 9001/ISO 27001/CMMI 及其他認證和流程/產品改進。他共同撰寫了開放存取書籍《The InfoSec Handbook: An Introduction to Information Security》，該書由 Apress 出版。
