Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

This book provides a comprehensive introduction to practical business analytics using R and Python. It covers various analytics techniques,from data exploration to predictive modeling,and demonstrates their applications using real-world examples. It is suitable for software professionals,managers,and executives who want to learn how to leverage R and Python for data analytics.

Format: Paperback / softback
Length: 706 pages
Publication date: 04 April 2023
Publisher: APress

This comprehensive book delves into the realm of data analytics, showcasing its immense potential in solving business problems. It explores a wide array of analytics techniques, enabling organizations to uncover hidden patterns, predict future outcomes, optimize efficiency, and enhance performance. By employing concepts from statistics, probability theory, and linear algebra, readers will learn how to analyze data effectively.

In this updated edition, both R and Python are utilized to demonstrate these analyses, providing a versatile platform for data enthusiasts and professionals alike. Furthermore, the book includes new chapters covering databases, SQL, neural networks, text analytics, and natural language processing (NLP).

Part one of the book provides an introductory overview to analytics, laying the foundation for understanding the various terms and concepts involved. It covers topics such as databases and SQL, basic statistics, probability theory, and data exploration. Part two delves into predictive models, employing statistical machine learning algorithms to model and classify data. This section discusses regression, classification, and neural networks, highlighting their applications in various business scenarios.

Part three explores two prominent unsupervised learning techniques: clustering and association mining. It also covers text mining and NLP, which play crucial roles in extracting valuable insights from large volumes of text and spoken language. The book concludes with an overview of big data analytics, emphasizing the importance of R and Python in this field.

By completing this book, readers will gain a deep understanding of the mathematical foundations required for business analytics. They will acquire proficiency in various analytics models and data mining techniques, enabling them to make informed decisions based on data. Moreover, they will learn how to utilize R and Python effectively to analyze data and extract valuable insights, ultimately driving business success.

Whether you are a data analyst, business professional, or aspiring entrepreneur, this book offers valuable insights and practical techniques to leverage data analytics in your endeavors. So, embark on this journey of data exploration and unlock the full potential of R and Python for business analytics.

Weight: 1370g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484287538
Edition number: 2nd ed.