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Guerrilla Data Analysis Using Microsoft Excel Cover

Guerrilla Data Analysis Using Microsoft Excel

Overcoming Crap Data and Excel Skirmishes

Publisher:Packt Publishing Limited
By:
Paid access
|Oct 2024

Master Excel data analysis with this hands-on guide. Learn efficient techniques, advanced functions, and best practices for real-world scenarios.

Key Features

  • 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

Book 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.

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

Who this book is 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.

Table of Contents

  1. Reviewing the Basics
  2. Excel Tables: The Glue in Dynamic Spreadsheet Development
  3. Collaboration Tools
  4. Summing and Counting with Criteria
  5. VLOOKUP and XLOOKUP
  6. Pivot Tables: The Turning Point!
  7. Power Query
  8. Conditional Formatting
  9. De-duping in Excel
  10. Dynamic Arrays
  11. Data Is Never 100% Clean (Not for Very Long)
  12. Data Validation: Controlling Inputs and Maintaining Data Integrity
  13. Protecting Sheets and Cells
  14. Octopus Spreadsheets
  15. INDIRECT
  16. OFFSET
  17. Recognizing Patterns
  18. Data Types and Stock History
  19. Graphing
  20. The Dangers of Just Diving In
  21. The LET Function
  22. Warnings About Machine Learning–Driven Features in Excel and Power Query
  23. Avoid Working on Your Source Data
  24. Using Slicers
  25. Data Models and Relationships
  26. People, Processes, and Tools
  27. Keeping Your Data in as Few Places as Possible
  28. Rough-and-Tumble Tips and Insights
  29. Spreadsheet Layout and Development
PDF ISBN: 978-1-83664-402-6
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 277
Related subjects:
Computer sciences,
Computer sciences, other

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