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Cleaning Data for Effective Data Science

Doing the other 80% of the work with Python, R, and command-line tools

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  • 498pages
  • 18 heures de lecture

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This guide equips data scientists with essential tools and techniques for effective data cleaning, emphasizing the importance of data quality in analysis. It covers various methods and best practices, providing practical insights to streamline the data preparation process. Readers will learn to tackle common data issues and enhance their analytical skills, making it an invaluable resource for anyone looking to improve their data management capabilities.

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Cleaning Data for Effective Data Science, David Mertz

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Année de publication
2021
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Titre
Cleaning Data for Effective Data Science
Sous-titre
Doing the other 80% of the work with Python, R, and command-line tools
Langue
Anglais
Publié
2021
Format
souple
Pages
498
ISBN13
9781801071291
Séries
Évaluation
4,5 sur 5
Description
This guide equips data scientists with essential tools and techniques for effective data cleaning, emphasizing the importance of data quality in analysis. It covers various methods and best practices, providing practical insights to streamline the data preparation process. Readers will learn to tackle common data issues and enhance their analytical skills, making it an invaluable resource for anyone looking to improve their data management capabilities.