Data Science for Business 2019 (2 BOOKS IN 1): Master Data Analytics & Machine Learning with Optimized Marketing Strategies (Artificial Intelligence, Neural Networks, Algorithms & Predictive Modelling
Riley Adams , Matt Henderson
- 出版商: Independently published
- 出版日期: 2019-04-07
- 售價: $1,510
- 貴賓價: 9.5 折 $1,435
- 語言: 英文
- 頁數: 288
- 裝訂: Paperback
- ISBN: 1092986545
- ISBN-13: 9781092986540
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相關分類:
人工智慧、Machine Learning、Algorithms-data-structures、行銷/網路行銷 Marketing、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their growth? Keep listening to learn how to use data analytics to maximize YOUR business.
Yes, you have customers that love your product. However, you’re having trouble finding new customers and captivating their attention. You realized you're also losing customers, and you have no clue what you can do to prevent this from happening. How do I stand out in a crowd of businesses? How do I target my perfect client and make them choose ME? If this sounds like you, Data Analytics for Businesses if the guide you need.
This book will walk you through the fundamental principles of data science and how to apply the “data-analytic mindset” when approaching your business. You will learn how to extract valuable insights from data sources you ALREADY HAVE, and make informed business decisions to help you achieve your goals.
With real-world examples of how to apply data analytics to your business, this book does what others fail to do. Break the process down step by step, so you can optimize unique parts of your business; such as improving customer loyalty or reducing churn. This guide also helps you understand the many data-mining techniques in use today.
Discover the value of applied data science for business decision-making. You’ll learn how to think data-analytically and make connections between data sources to unveil insights you’ve never imagined.
In this book you will learn:
- Why every company should be leveraging Data Analytics
- The difference between Big Data, Data Science and Data Analytics
- How to achieve your goals by applying data-analytical thinking to your business
- The recommended data mining techniques for each of your business goals
- The most important thing to remember when extracting knowledge from your data
- How to use data analytics to improve brand loyalty and customer experience
- How to hire the best data scientist, and more.
If you are overwhelmed by this whole new topic of data analytics, don’t be. This guide is designed for beginners, with all the guidance you need to understand the fundamentals of harnessing data analytics for your business. So even if you have never heard about data analytics until today, I promise we will walk through this step-by-step.
By the end of this, you’ll be able to think analytically and make informed business decisions. This book illustrates how EASY it is to find success by just applying a few principles.
商品描述(中文翻譯)
您是否在尋找利用現有資源來擴展業務的新方法?您想知道像 Netflix、Amazon 或 Shopify 這樣的大型企業是如何利用數據分析來倍增其增長的嗎?繼續聆聽,了解如何使用數據分析來最大化您的業務。
是的,您擁有喜愛您產品的客戶。然而,您在尋找新客戶和吸引他們的注意力方面遇到了困難。您意識到自己也在失去客戶,卻不知道該如何防止這種情況發生。我該如何在眾多企業中脫穎而出?我該如何鎖定理想客戶並讓他們選擇我?如果這聽起來像您,那麼《企業數據分析》就是您所需的指南。
本書將引導您了解數據科學的基本原則,以及在處理業務時如何應用「數據分析思維」。您將學會如何從您已擁有的數據來源中提取有價值的見解,並做出明智的商業決策,以幫助您實現目標。
本書提供了如何將數據分析應用於業務的實際案例,並逐步分解過程,讓您能夠優化業務的獨特部分,例如改善客戶忠誠度或降低流失率。本指南還幫助您了解當前使用的多種數據挖掘技術。
發現應用數據科學在商業決策中的價值。您將學會如何以數據分析的方式思考,並在數據來源之間建立聯繫,揭示您從未想過的見解。
在本書中,您將學到:
- 為什麼每家公司都應該利用數據分析
- 大數據、數據科學和數據分析之間的區別
- 如何通過將數據分析思維應用於業務來實現您的目標
- 每個業務目標的推薦數據挖掘技術
- 從數據中提取知識時最重要的事項
- 如何使用數據分析來改善品牌忠誠度和客戶體驗
- 如何聘請最佳數據科學家,等等。
如果您對這個全新的數據分析主題感到不知所措,請不要擔心。本指南專為初學者設計,提供您理解利用數據分析為業務服務所需的所有指導。因此,即使您直到今天才聽說數據分析,我也保證我們將逐步進行。
到最後,您將能夠進行分析性思考並做出明智的商業決策。本書展示了只需應用幾個原則就能找到成功是多麼簡單。