Common Data Sense for Professionals: A Process-Oriented Approach for Data-Science Projects
暫譯: 專業人士的數據常識：數據科學專案的流程導向方法
Jugulum, Rajesh
- 出版商: Productivity Press
- 出版日期: 2022-01-28
- 售價: $1,470
- 貴賓價: 9.5 折 $1,397
- 語言: 英文
- 頁數: 100
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367760487
- ISBN-13: 9780367760489
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相關主題
商品描述
Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists.
The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges.
The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.
商品描述(中文翻譯)
資料是我們日常生活中不可或缺的一部分。我們所做的每一件事都是一個數據點。許多這些數據點的記錄目的是為了幫助我們過上更高效的生活。我們有應用程式來追蹤我們的運動、睡眠、飲食和個人財務。我們利用這些數據根據自己設定的目標來改變生活。企業利用大量的數據來決定策略和行銷。數據科學家會對數據進行分析，並創建模型來幫助解決問題。你可能聽說過企業擁有數據管理團隊或首席資訊官（CIO）或首席數據官（CDO）等。他們都是與數據打交道的人，但他們的職能更多是與數據的審核和準備工作有關，以便數據科學家使用。
從個人數據使用以自我提升到大規模數據分析以改善商業流程的跳躍，對我們來說往往感覺比實際上要大。因此，我們常常認為大數據分析需要只有高級學位持有者才能使用的工具。雖然高級學位確實有其價值，但本書說明了這並不是成功運行數據科學項目的必要條件。因為我們已經是數據使用者，只需一些簡單的策略和基本分析軟體的接觸，任何擁有適當工具和決心的人都可以解決數據科學問題。本書中所呈現的過程將幫助個人有能力處理和解決與數據相關的挑戰。
本書的目標是提供一個逐步指南，幫助你在數據科學過程中感到自信，能夠主導自己的數據科學項目。為了增進清晰度和理解，作者提出了一個虛構的餐廳連鎖作為案例研究，說明所討論的各種主題如何應用。基本上，本書幫助傳統商業人士獨立解決與數據相關的問題，毫不猶豫或恐懼。這些強大的方法以對話、範例和案例研究的形式呈現，對話風格引人入勝並提供清晰度。
作者簡介
Rajesh Jugulum, PhD, is a data science innovation, analytics and process-engineering leader. He has experience in these areas in different types of industries including healthcare, finance and manufacturing. He held executive positions in the areas of process engineering and data science at Cigna, Citi Group and Bank of America. Rajesh completed his PhD under the guidance of Dr. Genichi Taguchi. Before joining the financial industry, Rajesh was at Massachusetts Institute of Technology (MIT) where he was involved in research and teaching.
Currently, Rajesh is Co-founder and Chief Data Science & Analytics Officer at dataDragon, a cloud based data science/analytics firm. He also teaches at Northeastern University, Boston as an affiliate professor. He is also an affiliate graduate faculty at University of Arkansas, Little Rock.
Rajesh is the author/co-author of several papers and five books including books on robust quality, data quality and design for lean six sigma. Rajesh also holds two US patents. Rajesh is a Fellow of American Society for Quality (ASQ) and also a Fellow of Royal Statistical Society (RSS) and his other honors include ASQ's Feigenbaum Medal, International Technology Institute's Rockwell Medal and 2012 Recognition Award from Industrial and Systems Engineering Department of Wayne State University. He has been listed in the "Who's Who in the World" list by Marquis Who's Who publication board. He was featured as "Face of Quality" in the September, 2001 issue of Quality Progress magazine and his Profile was also published in the October 2002 issue of the Journal of Quality Engineering Society.
Rajesh has delivered talks as the keynote speaker at several conferences, symposiums, and events related to data science, analytics and process engineering. He has also delivered lectures at several universities/companies across the globe and participated as a judge in data-related competitions.
作者簡介(中文翻譯)
拉傑什·朱古倫 (Rajesh Jugulum), PhD，是一位數據科學創新、分析及流程工程的領導者。他在醫療保健、金融和製造等不同類型的行業中擁有這些領域的經驗。他曾在Cigna、花旗集團和美國銀行擔任流程工程和數據科學的高級職位。拉傑什在田口玄一博士的指導下完成了他的博士學位。在進入金融行業之前，拉傑什曾在麻省理工學院 (MIT) 從事研究和教學工作。
目前，拉傑什是dataDragon的共同創辦人及首席數據科學與分析官，這是一家基於雲端的數據科學/分析公司。他還在波士頓的東北大學擔任兼任教授，並且是阿肯色大學小石城的兼任研究生教員。
拉傑什是多篇論文和五本書籍的作者/合著者，這些書籍包括有關穩健品質、數據品質和精益六西格瑪設計的書籍。拉傑什還擁有兩項美國專利。他是美國品質學會 (ASQ) 的會士，也是皇家統計學會 (RSS) 的會士，其他榮譽包括ASQ的費根鮑姆獎、國際技術學院的洛克威爾獎，以及2012年韋恩州立大學工業與系統工程系的表彰獎。他被馬奎斯《世界名人錄》列入「世界名人」名單。他在2001年9月的《品質進展》雜誌中被特別報導為「品質之面」，並且他的個人簡介也刊登在2002年10月的《品質工程學會期刊》中。
拉傑什曾作為主題演講者在多個與數據科學、分析和流程工程相關的會議、研討會和活動中發表演講。他還在全球多所大學和公司進行過講座，並參與數據相關競賽的評審工作。
