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Guerrilla Data Analysis Using Microsoft Excel
Guerrilla Data Analysis Using Microsoft Excel

Guerrilla Data Analysis Using Microsoft Excel: Overcoming Crap Data and Excel Skirmishes

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Profile Icon MrExcel's Holy Macro! Books Profile Icon Oz du Soleil Profile Icon Bill Jelen
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₱734.99
eBook Sep 2024 277 pages 1st Edition
eBook
₱734.99
Arrow left icon
Profile Icon MrExcel's Holy Macro! Books Profile Icon Oz du Soleil Profile Icon Bill Jelen
Arrow right icon
₱734.99
eBook Sep 2024 277 pages 1st Edition
eBook
₱734.99
eBook
₱734.99

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Key benefits

  • Hands-on techniques for efficient Excel data analysis
  • Advanced functions and best practices for real-world scenarios
  • Step-by-step guidance on complex tasks like data validation and dynamic arrays

Description

Unlock Microsoft Excel's hidden potential with this dynamic guide designed for data professionals and enthusiasts. You'll start by reviewing Excel basics before advancing to powerful tools like Excel Tables, Pivot Tables, and Power Query. Each chapter enhances your ability to analyze and visualize data efficiently, from complex lookups and dynamic arrays to essential data validation techniques that ensure accuracy and integrity in your spreadsheets. As you progress, you'll learn how to protect your work with advanced sheet protection methods and collaboration tools for seamless teamwork. The book also covers sophisticated functions like INDIRECT, OFFSET, and LET, preparing you to tackle complex data challenges. Additionally, you'll receive critical advice on avoiding the pitfalls of machine learning-driven features and maintaining clean, organized data. By the end of the guide, you'll have mastered Excel's advanced capabilities, empowering you to streamline workflows, optimize data processes, and make confident, data-driven decisions. This guide is your comprehensive resource for transforming your approach to data analysis with Excel.

Who is this book for?

This book is ideal for data analysts, business professionals, and Excel users who need to enhance their data analysis skills. Readers should have a basic understanding of Excel and be familiar with its interface. No advanced Excel knowledge is required, but a willingness to learn and apply new techniques is essential.

What you will learn

  • Master Excel tables and dynamic spreadsheets
  • Use VLOOKUP and XLOOKUP effectively
  • Create and manipulate PivotTables
  • Clean and validate data with Excel tools
  • Apply conditional formatting and de-duping techniques
  • Implement data models and relationships in Excel

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 26, 2024
Length: 277 pages
Edition : 1st
Language : English
ISBN-13 : 9781836644026
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What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Sep 26, 2024
Length: 277 pages
Edition : 1st
Language : English
ISBN-13 : 9781836644026
Category :
Concepts :

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Table of Contents

31 Chapters
Introduction: Welcome to the World of Guerrilla Data Analysis! Chevron down icon Chevron up icon
Chapter 1: Reviewing the Basics Chevron down icon Chevron up icon
Chapter 2: Excel Tables: The Glue in Dynamic Spreadsheet Development Chevron down icon Chevron up icon
Chapter 3: Collaboration Tools Chevron down icon Chevron up icon
Chapter 4: Summing and Counting with Criteria Chevron down icon Chevron up icon
Chapter 5: VLOOKUP and XLOOKUP Chevron down icon Chevron up icon
Chapter 6: Pivot Tables: The Turning Point! Chevron down icon Chevron up icon
Chapter 7: Power Query Chevron down icon Chevron up icon
Chapter 8: Conditional Formatting Chevron down icon Chevron up icon
Chapter 9: De-duping in Excel Chevron down icon Chevron up icon
Chapter 10: Dynamic Arrays Chevron down icon Chevron up icon
Chapter 11: Data Is Never 100% Clean (Not for Very Long) Chevron down icon Chevron up icon
Chapter 12: Data Validation: Controlling Inputs and Maintaining Data Integrity Chevron down icon Chevron up icon
Chapter 13: Protecting Sheets and Cells Chevron down icon Chevron up icon
Chapter 14: Octopus Spreadsheets Chevron down icon Chevron up icon
Chapter 15: INDIRECT Chevron down icon Chevron up icon
Chapter 16: OFFSET Chevron down icon Chevron up icon
Chapter 17: Recognizing Patterns Chevron down icon Chevron up icon
Chapter 18: Data Types and Stock History Chevron down icon Chevron up icon
Chapter 19: Graphing Chevron down icon Chevron up icon
Chapter 20: The Dangers of Just Diving In Chevron down icon Chevron up icon
Chapter 21: The LET Function Chevron down icon Chevron up icon
Chapter 22: Warnings About Machine Learning–Driven Features in Excel and Power Query Chevron down icon Chevron up icon
Chapter 23: Avoid Working on Your Source Data Chevron down icon Chevron up icon
Chapter 24: Using Slicers Chevron down icon Chevron up icon
Chapter 25: Data Models and Relationships Chevron down icon Chevron up icon
Chapter 26: People, Processes, and Tools Chevron down icon Chevron up icon
Chapter 27: Keeping Your Data in as Few Places as Possible Chevron down icon Chevron up icon
Chapter 28: Rough-and-Tumble Tips and Insights Chevron down icon Chevron up icon
Chapter 29: Spreadsheet Layout and Development Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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