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Data Science For Decision Makers Using Analytics And Case Studies Erik L Herman

  • SKU: BELL-230621640
Data Science For Decision Makers Using Analytics And Case Studies Erik L Herman
$ 31.00 $ 45.00 (-31%)

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Data Science For Decision Makers Using Analytics And Case Studies Erik L Herman instant download after payment.

Publisher: Mercury Learning and Information
File Extension: EPUB
File size: 5.12 MB
Pages: 176
Author: Erik L. Herman
ISBN: 9781501523311, 1501523317
Language: English
Year: 2024

Product desciption

Data Science For Decision Makers Using Analytics And Case Studies Erik L Herman by Erik L. Herman 9781501523311, 1501523317 instant download after payment.

This book 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. It bridges 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 strategies that drive organizational growth. 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 foundation to navigate the complex landscape of data science.
FEATURES
Features real-world case studies from various industries, showing how data science techniques solve complex business challenges.
Offers implementation roadmaps that detail step-by-step processes for applying data science techniques in practice. These roadmaps act as guides for readers, providing clear instructions on collecting, analyzing, and interpreting data to facilitate informed decision-making.
Provides sample data sets, sample visualizations, and the supporting Python code, providing a firsthand approach to learning and application.

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