What You'll Gain
- A repeatable data-cleaning workflow you can apply to any dataset
- Practical strategies for missing values, duplicates, outliers, and inconsistent formats
- Confidence building “analysis-ready” tables for reporting and ML
Why Choose This Book
This book focuses on real-world messy data—not perfect tutorial datasets. You will learn decision rules, common pitfalls, and robust patterns that reduce rework and improve trust in your results.
Who Should Read This Book
Analysts and aspiring data scientists who work with Excel/CSV/SQL exports and want reliable Python-based cleaning skills.
What's Inside
Cleaning checklists, transformation patterns, and mini-projects that mirror workplace data tasks.
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Publication name
Alkademy Press
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Published Date
13 Dec, 2025
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Language
English
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Rating
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Category
Data Science and Analytics
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Dr. Kay
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57 Ebook
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