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Data Cleaning Guide.
Messy data is one of the biggest challenges in analytics, often leading to inaccurate insights and misguided decisions if not addressed properly. This book breaks down 20 of the most common issues you’ll face when working with real-world data, from handling missing values and outliers to resolving formatting inconsistencies and dealing with duplicates.
Each section provides a clear explanation of the issue, real-life examples, and step-by-step solutions to ensure you’re equipped to tackle data problems confidently. Whether you’re just starting out or looking to refine your data cleaning skills, this book offers actionable insights and proven methods to help you create clean, reliable datasets for meaningful analysis.
The book also contains insights into the 10 Common Mistakes Entry-Level Data Analysts Make While Cleaning Data and 8 Challenges Entry-Level Data Analysts Face When Cleaning Data.
The priceless information shared in this book about Data cleaning by Harvoxx Tech Hub was derived from years of providing data analytics training to individuals, training staff of organizations on data analytics and executing data analytics projects for organizations and businesses.