Data Science for Decision Makers

Erik Herman

ISBN 10: 1501523317 / ISBN 13: 9781501523311

Edité par Mercury Learning And Information, De Gruyter Jan 2025, 2025

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. This book serves as a bridge between the complex world of data science and the strategic decision-making process, providing readers with the knowledge and tools they need to leverage data effectively.With a clear focus on practical application, this book demystifies key concepts in data science, from data collection and analysis to predictive modeling and visualization. Via real-world examples, case studies, and actionable insights, readers will learn how to extract insights from data and translate them into actionable strategies that drive organizational growth.Written in a reader-friendly manner, this book caters to both novice and experienced professionals alike. Whether you're a seasoned executive looking to sharpen your strategic acumen or a manager seeking to enhance your team's data literacy, this essential reference provides the necessary foundation to navigate the complex landscape of data science with confidence.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 196 pp. Englisch.

N° de réf. du vendeur 9781501523311

Détails bibliographiques

• Titre: Data Science for Decision Makers
• Éditeur: Mercury Learning And Information, De Gruyter Jan 2025
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 1501523317
• ISBN à 13 chiffres: 9781501523311
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 229 L x 152 H x 11 P (en millimètres) 229 millimètres de largeur par 152 millimètres de hauteur par 11 millimètres de profondeur
• Poids: 293 grammes

A propos de ce titre

Synopsis

Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. This book serves as a bridge between the complex world of data science and the strategic decision-making process, providing readers with the knowledge and tools they need to leverage data effectively.

With a clear focus on practical application, this book demystifies key concepts in data science, from data collection and analysis to predictive modeling and visualization. Via real-world examples, case studies, and actionable insights, readers will learn how to extract insights from data and translate them into actionable strategies that drive organizational growth.

Written in a reader-friendly manner, this book caters to both novice and experienced professionals alike. Whether you're a seasoned executive looking to sharpen your strategic acumen or a manager seeking to enhance your team's data literacy, this essential reference provides the necessary foundation to navigate the complex landscape of data science with confidence.

À propos de l?auteur

Erik L. Herman is an accomplished Technical Trainer, Instructional Designer, and Content Developer with expertise spanning technical training, e-learning, and content development across diverse domains such as cloud computing, data analytics, and fraud detection. Holding certifications from CompTIA, Confluent, IBM, and AWS, Erik consistently delivers high-quality training utilizing tools like Articulate, Camtasia, and Captivate. In his current capacity at PIL, LLC., Erik provides customized training solutions and adeptly manages client engagements. With a strong background at QueBIT Consulting and The Ironside Group, Erik demonstrates proficiency in overseeing technical training practices and crafting comprehensive learning materials.

Erik earned a Bachelor of Arts in English from George Mason University in 1995. As a dedicated instructor, Erik adeptly conveys intricate technical concepts while staying abreast of evolving technology trends, ensuring his students receive top-tier education and training.