Foundations of Programming, Statistics, and Machine Learning for Business Analytics

This book provides a comprehensive introduction to business analytics, covering programming fundamentals, data structures, management, manipulation, and visualization using R and Python. It is suitable for undergraduate and postgraduate students studying Business Analytics or Data Science, and includes interactive coding notebooks to build programming skills.

Format: Hardback
Length: 512 pages
Publication date: 28 April 2023
Publisher: SAGE Publications Ltd

The demand for business analysts and data scientists is on the rise as global companies strive to undergo digital transformations and harness the power of their data resources to gain a competitive edge. This comprehensive book serves as a valuable resource for individuals seeking to advance their careers in business analytics. Whether you have no prior knowledge of programming or statistics or are looking to strengthen your foundational skills, this book is designed to make complex topics accessible and understandable.

The book adopts a step-by-step approach, minimizing the use of mathematics and incorporating real-world examples of business analytics to enhance comprehension. It introduces programming fundamentals using popular languages such as R and Python, covering data structures, data management, manipulation, and data visualization. Interactive coding notebooks are included to facilitate progressive skill building.

This book is an essential text for undergraduate and postgraduate students studying business analytics, as well as for those embarking on data science courses. Authored by esteemed experts in the field, including Ram Gopal, Pro-Dean and Professor of Information Systems at the University of Warwick, Daniel Philps, an Artificial Intelligence Researcher and Head of Rothko Investment Strategies, and Tillman Weyde, a Senior Lecturer at City, University of London, the book offers valuable insights and expertise.

By mastering the fundamentals covered in this book, you will be well-equipped to thrive in the dynamic field of business analytics and make a significant impact on your organization's success.

Weight: 1282g
Dimension: 193 x 253 x 32 (mm)
ISBN-13: 9781529620900