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: Paperback / softback
Length: 512 pages
Publication date: 28 April 2023
Publisher: SAGE Publications Ltd

The demand for business analysts and data scientists is soaring as global companies embark on digital transformations to gain a competitive edge. This comprehensive book covers a wide range of fundamentals, including statistics, programming, and business applications, to equip readers with the essential knowledge needed to excel in business analytics. Whether you have no prior knowledge of programming or statistics or are looking to advance your skills, this book takes a simple and step-by-step approach, minimizing the use of mathematics and incorporating real-world examples of business analytics.

Key features of the book include:

Introduction to programming fundamentals using R and Python: The book provides a solid foundation in programming concepts, enabling readers to write code and develop practical applications.

Coverage of data structures, data management, and manipulation: Readers will learn how to organize, store, and manipulate data efficiently, using techniques such as databases, data frames, and algorithms.

Interactive coding notebooks: The book includes interactive coding notebooks that allow readers to practice their programming skills progressively, building upon the knowledge gained throughout the chapters.

Suitable for undergraduate and postgraduate students studying business analytics or as pre-reading for students studying data science: The book is designed to cater to the needs of students at different levels of education and provides a comprehensive overview of the field.

Written by experts in the field: The book is authored by 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.

In conclusion, this book is an invaluable resource for anyone seeking to advance their career in business analytics or data science. With its comprehensive coverage of fundamentals, interactive coding notebooks, and expert authorship, it provides readers with the skills and knowledge needed to succeed in this rapidly growing field.

Weight: 1100g
Dimension: 189 x 246 x 28 (mm)
ISBN-13: 9781529620917