Principles of Strategic Data Science
暫譯: 戰略數據科學原則
Prevos, Peter
- 出版商: Packt Publishing
- 出版日期: 2019-05-31
- 售價: $1,190
- 貴賓價: 9.5 折 $1,131
- 語言: 英文
- 頁數: 104
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1838985298
- ISBN-13: 9781838985295
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.
With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach.
By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data.
商品描述(中文翻譯)
《策略性資料科學原則》旨在幫助您將數學、程式設計和商業分析之間的關聯串聯起來。
這本書以獨特的方法彌合數學與計算機科學之間的鴻溝,帶您了解整個資料科學流程。書中首先解釋了什麼是資料科學,以及組織如何利用資料科學來徹底改變他們使用資料的方式。接著,書中討論了資料產品的健全性標準以及如何最佳化資訊的視覺化。隨著學習的深入,您將通過學習五階段框架來發現資料科學的策略性面向,這將使您能夠提升從資料中提取的價值。書的最後一章探討了資料科學經理在幫助組織採取數據驅動方法中的角色。
在閱讀完這本書後,您將對資料科學有良好的理解,並了解它如何使您能夠從資料中提取價值。