相關主題
商品描述
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics.
This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy.
The book utilizes Albert Einstein's famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.
商品描述(中文翻譯)
《R for Business Analytics》探討了商業分析師最常執行的一些任務，並幫助使用者在 R 及其 4000 個套件中導航這些豐富的資訊。透過這些資訊，讀者可以選擇能夠以最小的努力和最大的效用來處理分析任務的套件。本書強調使用圖形使用者介面 (GUI)，以進一步減少學習 R 的著名學習曲線。本書旨在幫助您快速入門分析，包括數據視覺化、網頁分析和社交媒體分析的程式碼範例、聚類、回歸模型、文本挖掘、數據挖掘模型和預測等章節。本書試圖讓讀者接觸到廣泛的商業分析主題，而不會讓使用者陷入不必要的深度。書中包含的參考資料和連結使讀者能夠深入探索商業分析主題。
本書的目標讀者是具備基本程式設計技能的商業分析師，使用 R 進行商業分析。請注意，本書的範圍既不涉及統計理論，也不是針對研究生層級的統計研究，而是針對商業分析實務者。商業分析 (BA) 是指探索和調查企業生成的數據的領域。商業智慧 (BI) 是在組織內無縫傳播資訊，主要涉及過去和現在的商業指標，以支援企業的決策。數據挖掘 (DM) 是使用演算法和統計方法從大量數據中發現新模式的過程。為了區分這三者，BI 主要是當前報告，BA 是用於預測和策略的模型，而 DM 則是在大數據中匹配模式。R 統計軟體是全球增長最快的分析平台，並在學術界和企業中因其穩健性、可靠性和準確性而得到廣泛應用。
本書利用阿爾伯特·愛因斯坦的名言，強調將事物簡化到可能的程度，但不簡化得過頭。本書將消除您對在商業環境中使用 R 的最後一絲疑慮。即使是非技術使用者也會喜歡這些易於使用的範例。與 R 的創作者和企業使用者的訪談使本書非常易讀。作者堅信，艾薩克·阿西莫夫在傳播科學方面比任何教科書或期刊作者更出色。
作者簡介
Ajay Ohri is the founder of analytics startup Decisionstats.com. He has pursued graduate studies at the University of Tennessee, Knoxville and the Indian Institute of Management, Lucknow. In addition, Ohri has a mechanical engineering degree from the Delhi College of Engineering. He has interviewed more than 100 practitioners in analytics, including leading members from all the analytics software vendors. Ohri has written almost 1300 articles on his blog, besides guest writing for influential analytics communities. He teaches courses in R through online education and has worked as an analytics consultant in India for the past decade. Ohri was one of the earliest independent analytics consultant in India, and his current research interests include spreading open source analytics, analyzing social media manipulation, simpler interfaces to cloud computing and unorthodox cryptography.
作者簡介(中文翻譯)
Ajay Ohri 是分析創業公司 Decisionstats.com 的創辦人。他曾在田納西大學（University of Tennessee, Knoxville）和印度管理學院（Indian Institute of Management, Lucknow）進行研究生學習。此外，Ohri 擁有德里工程學院（Delhi College of Engineering）的機械工程學位。他已經訪問了超過 100 位分析領域的從業者，包括所有分析軟體供應商的主要成員。Ohri 在他的部落格上撰寫了近 1300 篇文章，並為有影響力的分析社群撰寫過來賓文章。他通過線上教育教授 R 課程，並在過去十年中擔任印度的分析顧問。Ohri 是印度最早的獨立分析顧問之一，他目前的研究興趣包括推廣開源分析、分析社交媒體操控、簡化雲計算介面以及非正統的密碼學。
