Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics

Mount, George

  • 出版商: O'Reilly
  • 出版日期: 2024-06-04
  • 定價: $2,100
  • 售價: 9.5$1,995
  • 語言: 英文
  • 頁數: 241
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098148827
  • ISBN-13: 9781098148829
  • 相關分類: ExcelData Science
  • 立即出貨 (庫存=1)


If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.

George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration.

Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to:

  • Build repeatable data cleaning processes for Excel with Power Query
  • Create relational data models and analysis measures with Power Pivot
  • Pull data quickly with dynamic arrays
  • Use AI to uncover patterns and trends from inside Excel
  • Integrate Python functionality with Excel for automated analysis and reporting


如果您尚未在Microsoft Excel中現代化您的數據清理和報告流程,那麼您將錯失巨大的生產力提升機會。而且,如果您希望進行嚴謹的數據分析,Excel可以做的比您想像的更多。這本實用書是對現代Excel功能套件以及其他強大的分析工具的介紹。

Stringfest Analytics的George Mount向業務分析師、數據分析師和商業智能專家展示如何從您的電子表格中利用Excel的最新功能獲得更大的收益。您將學習如何使用Power Query建立可重複使用的數據清理工作流程,並使用Power Pivot直接從工作簿設計關聯數據模型。您還將探索其他令人興奮的分析新功能,例如動態數組函數、AI驅動的洞察力和Python集成。

- 使用Power Query為Excel建立可重複使用的數據清理流程
- 使用Power Pivot創建關聯數據模型和分析指標
- 快速提取數據使用動態數組
- 使用AI從Excel內部發現模式和趨勢
- 將Python功能與Excel集成,實現自動化分析和報告