Guerrilla Data Analysis Using Microsoft Excel: Overcoming Crap Data and Excel Skirmishes
English | Sep 26, 2024 | ISBN: 9781836644026 | 277 pages | EPUB (True) | 58.94 MB
English | Sep 26, 2024 | ISBN: 9781836644026 | 277 pages | EPUB (True) | 58.94 MB
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