Business Analytics Using R - A Practical Approach

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics.

This book will discuss and explore the following through examples and case studies:

• An introduction to R: data management and R functions
• The architecture, framework, and life cycle of a business analytics project
• Descriptive analytics using R: descriptive statistics and data cleaning
• Data mining: classification, association rules, and clustering 
  Predictive analytics: simple regression, multiple regression, and logistic regression 

This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book.

What You Will Learn

• Write R programs to handle data

• Build analytical models and draw useful inferences from them

• Discover the basic concepts of data mining and machine learning 

• Carry out predictive modeling

• Define a business issue as an analytical problem

Who This Book Is For

Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.

學習商業統計、資料探勘和機器學習技術的基本要素，以理解組織所產生的大量數據。本書通過實例解釋實用的商業分析，涵蓋了正確使用它所涉及的步驟，並展示了特定技術在某些情境下不合適的背景。此外，《使用R進行實用商業分析》還幫助您了解組織面臨的具體問題以及商業分析如何促進解決這些問題。

本書將通過實例和案例研究討論和探索以下內容：

- R介紹：數據管理和R函數
- 商業分析項目的架構、框架和生命周期
- 使用R的描述性分析：描述統計和數據清理
- 數據探勘：分類、關聯規則和聚類
- 預測分析：簡單回歸、多元回歸和邏輯回歸

本書包含了關於重要商業分析技術的案例研究，例如分類、關聯、聚類和回歸。R語言是本書中用於演示概念的統計工具。

您將學到以下內容：

- 編寫處理數據的R程序
- 構建分析模型並從中獲得有用的推斷
- 探索資料探勘和機器學習的基本概念
- 進行預測建模
- 將商業問題定義為分析問題

本書適合以下讀者：

- 想要理解並學習使用R進行分析基礎的初學者
- 學生、經理、高管、策略和規劃專業人士、軟件專業人士以及商業智能/數據倉儲專業人士。