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Hands-on Data Analytics for Business
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Hands-on Data Analytics for Business

Book Details

Format Paperback / Softback
ISBN-10 1032619996
ISBN-13 9781032619996
Publisher Taylor & Francis Ltd
Imprint Auerbach
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 15th, 2026
Print length 156 Pages
Weight 282 grams
Dimensions 15.50 x 23.40 x 1.30 cms
Ksh 9,900.00
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This is a concise all-in-one analytics book for business professionals or university students who want to understand the concepts of analytics, grasp hands-on statistical and analytics skills step-by-step using Excel and SPSS and, understand real-world case studies on how data analytics is applied in business.
The knowledge and skills of data analytics enable business professionals to make evidence-based decisions rather than just by intuition. To appreciate the knowledge and skills, one needs to understand the theory, hands-on statistical operations using computer software, business application case studies and the analytics project maturity roadmap. Hands-on Data Analytics for Business is a concise all-in-one analytics textbook for business professionals and university students who want to:Understand the essential theories and concepts of data analyticsGrasp hands-on practical statistical and analytics skills step-by-step using SPSS and ExcelAppreciate real-world well-known case studies in human resources, marketing and supply chain on how data analytics is applied in business. This book is for business professionals or university students seeking to master data analytics knowledge and technical skills to a level allowing them to practice data analytics hands-on and manage data analytics projects at scale. For business professionals, the book is written in a way to help learn statistical skills in a concise way with practical real-world examples to inspire business applications. For students, this book is organized in a sequence readily deliverable for a university course, with classes combining theory or concepts, hands-on practice and case studies. For all readers, the book is an essential guide on using data analytics to tackle modern complex activities for companies to gain a competitive edge.

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