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Data Science and Analytics for SMEs

48,14 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18a5a196fc6c3a48c2a742fbcf3ca491d3
Autor: Tolulope, Afolabi Ibukun
Themengebiete: Business Business Analytics Business Problems Consulting Data Analytics Data Mining Data Science Data Science for Business Rapid Miner Small Business
Veröffentlichungsdatum: 29.09.2022
EAN: 9781484286692
Sprache: Englisch
Seitenzahl: 335
Produktart: Kartoniert / Broschiert
Verlag: APRESS
Untertitel: Consulting, Tools, Practical Use Cases
Produktinformationen "Data Science and Analytics for SMEs"
Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with the ongoing digital revolution. The topics covered in the books will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small business for data analytics are in conjunction with the growing number of freelance data science consulting opportunities; hence this book will provide insight on how to navigate this new terrain.This book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly.  Data Science and Analytics for SMEs is particularly focused on small businesses and explores the analytics and data that can help them succeed further in their business. What You'll LearnCreate and measure the success of their analytics projectStart your business analytics consulting careerUse solutions taught in the book in practical uses cases and problems Who This Book Is ForBusiness analytics enthusiasts who are not particularly programming inclined, small business owners and data science consultants, data science and business students, and SME (small-to-medium enterprise) analysts

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