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

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...

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Bibliographische Detailangaben
Hauptverfasser: Soleil, Oz du, Jelen, Bill (VerfasserIn)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Birmingham : Packt Publishing 2024.
Paris : Cyberlibris
Online Zugang:Accès Université d'Orléans et IFPM
Anmerkung: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781836644026.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Guerrilla Data Analysis Using Microsoft Excel, Overcoming Crap Data and Excel Skirmishes, Oz du Soleil, Bill Jelen, Birmingham, Packt Publishing, 2024, 1 vol. (277 p.), 978-18-3664-403-3
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520 |a 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 
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