Discover Excel's real-world data-cleaning strategies, including proper case, fuzzy matching, and parsing techniques. Learn to merge workbooks, flatten reports, and eliminate errors while optimizing workflows.

Key Features

• Core Excel functions for preparing and cleansing data
• Methods for managing duplicates and inconsistent datasets
• Strategic insights for streamlining data workflows

Book Description

This book offers a deep dive into data cleansing using Excel. The content is built for professionals who frequently encounter messy, unstructured, or inconsistent data and need a systematic approach to clean and organize it. Readers will explore strategies to correct names, manage duplicates, parse data, and merge multiple datasets effectively. Practical examples guide the reader through the intricacies of Excel’s functions, focusing on actionable solutions and enhancing productivity. Whether it’s about removing duplicates, segmenting datasets, or flattening complex reports, this book provides easy-to-follow methods to ensure data becomes useful and accessible. By combining clear explanations with real-world applications, this book equips readers to handle diverse data challenges with confidence. Professionals will be empowered to make better decisions and streamline their workflows through cleaner, more reliable data.

What you will learn

• Master data cleansing using proper case transformation
• Compare and reconcile lists with ease
• Parse and segment data for efficient analysis
• Apply fuzzy matching to identify duplicates effectively
• Merge and append multiple workbooks confidently
• Flatten reports into clean, usable data formats

Who this book is for

Professionals working with Excel, including data analysts, project managers, and administrative staff will find this book helpful. It is ideal for readers with a basic understanding of Excel, seeking practical skills in data management and cleansing.