Data Analytics and Quality Management Fundamental Tools (Paperback)

Joseph Nguyen

ISBN 13: 9798862833232

Edité par Independently Published, 2023

A propos de cet article

Paperback. This book will teach you the fundamental tools that are commonly used in data analytics, particularly in quality management and continuous improvement (kaizen). There are also exercises and quizzes to help you become acquainted with these powerful tools, as well as a resource table for quick reference in the appendix.You will learn: 1) The purpose of each tool, when to use it, and how to use it individually, how to synthesize them for complex problems; 2) errors to avoid when collecting and analyzing data; and 3) an overview of the relationship between these tools and data analytics, particularly business intelligence and big data. You will receive a quick reference guide of all 17 tools. The goal is by the end of this book, you will be a data engineer-in-training of these tools and be able to select the appropriate tools for your data analytics projects. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de réf. du vendeur 9798862833232

Détails bibliographiques

• Titre: Data Analytics and Quality Management Fundamental Tools (Paperback)
• Éditeur: Independently Published
• Date de parution: 2023
• Langue: anglais
• ISBN à 13 chiffres: 9798862833232
• Reliure: Paperback
• État de l'article: new

A propos de ce titre

Synopsis

This book will teach you the fundamental tools that are commonly used in data analytics, particularly in quality management and continuous improvement (kaizen). There are also exercises and quizzes to help you become acquainted with these powerful tools, as well as a resource table for quick reference in the appendix.You will learn: 1) The purpose of each tool, when to use it, and how to use it individually, how to synthesize them for complex problems; 2) errors to avoid when collecting and analyzing data; and 3) an overview of the relationship between these tools and data analytics, particularly business intelligence and big data. You will receive a quick reference guide of all 17 tools. The goal is by the end of this book, you will be a data engineer-in-training of these tools and be able to select the appropriate tools for your data analytics projects.