Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data

This book is a comprehensive guide to uncovering valuable insights and stories hidden in data.

With practical examples and techniques, it helps readers clean, evaluate, and analyze data with ease.

Whether you're a beginner or an experienced professional, this book provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats.

The author, Susan E.

McGregor, is a renowned researcher and educator at Columbia University's Data Science Institute, with over a decade of experience teaching programming and data analysis to non-STEM learners.

This book delivers a methodical, jargon-free approach to harnessing the power of data, using Python 3.8+ to read, write, and transform data from various sources.

It covers organizing, documenting, and structuring code, performing basic statistical analyses, and visualizing data in clear and compelling ways.

Don't miss out on this opportunity to unlock the secrets of data and gain valuable insights that can change your business or career.

Get your copy today!