Microsoft Data Analytics for Dummies
暫譯: 微軟數據分析入門指南

Decker, Jared, Henry, Brian, Sickorez, Rob

  • 出版商: For Dummies
  • 出版日期: 2025-04-29
  • 售價: $1,190
  • 貴賓價: 9.5$1,131
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119696364
  • ISBN-13: 9781119696360
  • 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

Master Microsoft Data Analytics tools with the book series trusted by millions across the world

Microsoft leads the software industry in analytics with some of the most comprehensive and powerful data analytics tools currently available. The demand for people who can use and understand these tools remains sky-high and increases every day. In Microsoft Data Analytics For Dummies, the authors have created a straightforward and easy to understand introduction to readers who want to leverage Microsoft products for data analysis.

Written by experienced data infrastructure architects, Microsoft Data Analytics For Dummies seeks to flatten and shorten the learning curve typically associated with data analytics. The book includes information about Microsoft data tools, including:

- Microsoft Excel, the industry-leading spreadsheet tool

- Power Pivot

- Power Query

- Power BI

This book is perfect for non-developers who have a need to use data to support their business decisions without looping in technical personnel. With the newfound ability to rely on data to make better decisions, business executives, managers, and employees will experience previously unreached levels of productivity, effectiveness, and efficiency.

商品描述(中文翻譯)

掌握 Microsoft 數據分析工具,這是全球數百萬人信賴的書籍系列

Microsoft 在分析軟體產業中領先,擁有一些當前最全面且強大的數據分析工具。能夠使用和理解這些工具的人才需求持續高漲,並且每天都在增加。在 Microsoft Data Analytics For Dummies 中,作者為希望利用 Microsoft 產品進行數據分析的讀者創建了一個簡單易懂的入門介紹。

這本書由經驗豐富的數據基礎架構架構師撰寫,Microsoft Data Analytics For Dummies 旨在縮短和簡化通常與數據分析相關的學習曲線。書中包含有關 Microsoft 數據工具的信息,包括:

- Microsoft Excel,業界領先的電子表格工具

- Power Pivot

- Power Query

- Power BI

這本書非常適合那些需要使用數據來支持商業決策的非開發人員,而無需依賴技術人員。隨著能夠依賴數據做出更好的決策,商業高管、經理和員工將體驗到前所未有的生產力、效能和效率。