Modern Data Analytics In Excel
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Modern Data Analytics in Excel
Author: George Mount
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2024-04-26
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
Modern Data Analytics in Excel
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
Data Analytics Toolkit
Author: Eric Gaze
language: en
Publisher: Addison-Wesley Professional
Release Date: 2025-01-10
Expand your data analysis toolkit with Python, R, and Tableau Data Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, and Tableau. With spreadsheets being the foundation of modern data analysis, this book bridges the gap for those without innate programming skills, offering a practical guide to enhancing your data analysis toolkit. Through a series of real-world case studies, the book demonstrates how to create the same graphics using Excel, Tableau, Python, and R. By starting with Excel and gradually moving to more advanced tools, readers will learn the strengths and limitations of each platform. This comparative approach not only teaches how to use these tools but also deepens understanding of core data analysis concepts, making it easier to choose the right tool for each task. Ideal for both beginners and those looking to expand their existing skills, Data Analytics Common Core provides step-by-step instructions, including software installation and file management, to ensure a smooth transition. Whether you're just starting out or looking to enhance your data visualization and analysis capabilities, this book is a valuable resource for mastering Python, R, and Tableau.