Data Science and Analytics for SMEs Data Science and Analytics for SMEs

Data Science and Analytics for SMEs

Consulting, Tools, Practical Use Cases

    • $34.99
    • $34.99

Publisher Description

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. 

You will:Create and measure the success of their analytics projectStart your business analytics consulting careerUse solutions taught in the book in practical uses cases and problems 

GENRE
Computers & Internet
RELEASED
2022
September 28
LANGUAGE
EN
English
LENGTH
352
Pages
PUBLISHER
Apress
SELLER
Springer Nature B.V.
SIZE
76.1
MB
Customer Segmentation and Clustering Using SAS Enterprise Miner,Third Edition Customer Segmentation and Clustering Using SAS Enterprise Miner,Third Edition
2017
Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner
2014
Data Science Using Oracle Data Miner and Oracle R Enterprise Data Science Using Oracle Data Miner and Oracle R Enterprise
2016
Network Data Analytics Network Data Analytics
2018
Data Science Handbook Data Science Handbook
2022
Machine Learning with PySpark Machine Learning with PySpark
2021