Data Analytics for Business: Ai-ML-Pbi-Sql-R
Garn, Wolfgang
- 出版商: Routledge
- 出版日期: 2024-04-30
- 售價: $2,150
- 貴賓價: 9.5 折 $2,043
- 語言: 英文
- 頁數: 270
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032372621
- ISBN-13: 9781032372624
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相關分類:
SQL、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material.
This book is appropriate for master students but can be used for undergraduate students. Practitioners will also benefit from the readily available tools. The material was especially designed for Business Analytics degrees with a focus on Data Science and can also be used for machine learning or artificial intelligence classes. This entry-level book is ideally suited for a wide range of disciplines wishing to gain actionable data insights in a practical manner.
商品描述(中文翻譯)
我們淹沒在數據中,但卻渴望知識。數據分析是一門利用方法和軟體工具對數據進行結構化、處理、分析和可視化,從中提取可行的見解的學科。因此,我們通過理解數據來獲得知識。實現這一目標的路徑被概括為知識發現在數據庫中(KDD)的過程。數據庫幫助我們以結構化的方式存儲數據。結構化查詢語言(SQL)使我們能夠對業務機會獲得初步的見解。使用商業智能工具和數據科學語言對數據進行可視化,可以加深我們對關鍵績效指標和業務特徵的理解。這可以用於創建相關的分類和預測模型;例如,為客戶提供適當的產品或預測間歇泉的噴發時間。機器學習算法在這方面對我們有所幫助。此外,我們可以使用無監督學習方法創建新的類別,這可以用於定義新的市場細分或將具有相似特徵的客戶分組。最後,人工智能使我們能夠在不確定性下進行推理,並找到業務挑戰的最佳解決方案。本書涵蓋了所有這些主題,並以實踐為基礎的過程進行介紹,這意味著我們使用了許多例子來介紹概念,並使用了多種軟體工具來協助我們。多個互動練習支持我們加深對內容的理解並保持參與。
本書適合碩士生閱讀,但也可供本科生使用。從業人員也將受益於現成的工具。本教材特別為商業分析學位設計,重點放在數據科學上,也可用於機器學習或人工智能課程。這本入門書籍非常適合各種學科,希望以實踐的方式獲得可行的數據見解。
作者簡介
Wolfgang Garn is an Associate Professor at the University of Surrey. His research interests are in the areas of artificial intelligence, machine learning, operational research and business analytics. He is the CEO and founder of Smartana, which offers SMART analytics solutions and consulting services to businesses.
作者簡介(中文翻譯)
Wolfgang Garn是薩里大學的副教授。他的研究興趣涵蓋人工智慧、機器學習、運籌學和商業分析等領域。他是Smartana的首席執行官和創始人,該公司為企業提供智能分析解決方案和咨詢服務。