Best Business Mathematics Books of 2025

Storytelling with Data is a must-read for business professionals who want to communicate effectively with data. The author, Cole Nussbaumer Knaflic, teaches the fundamentals of data visualization, emphasizing the importance of storytelling and context. She provides real-world examples and practical advice on how to turn data into engaging visual stories. This book is unique in its approach to data visualization, encouraging readers to think like designers and use the power of storytelling to engage their audience. Overall, Storytelling with Data is an illuminating and essential guide for anyone who wants to communicate data effectively.

Real Estate by the Numbers is a comprehensive reference guide that simplifies the mathematical formulas behind successful real estate deals. Co-authored by J Scott and Dave Meyer, this book provides novice and experienced investors with the tools necessary to analyze, track, and adapt their investment strategies to changing market conditions. The authors’ real-world examples and data-driven investing experience make this book a valuable resource for anyone looking to maximize their returns. Real Estate by the Numbers is a must-read for those seeking to build a successful real estate portfolio.

The "Airbnb Business" book is an up-to-date guide to becoming a successful Airbnb host. The book covers everything from creating a top-quality listing to automating your property and making it smart. It also includes accounting, ranking among the top listings, and becoming an Airbnb Superhost. This guide is filled with practical advice from a Superhost's experience and is a one-stop resource for anyone wanting to generate extra monthly income from a profitable, passive real estate investment business. Overall, this book is a must-read for anyone who wants to succeed in the world of Airbnb rentals.

Data Science for Business is a comprehensive guide to understanding data science and its role in business decision-making. Written by experts Foster Provost and Tom Fawcett, this book teaches readers the principles of data-analytic thinking and the various data-mining techniques used today. It includes real-world business examples to illustrate these principles and helps improve communication between business stakeholders and data scientists. The book also provides guidance on how to participate intelligently in data science projects and how to apply data science principles when interviewing data science job candidates. Overall, it is an essential resource for anyone looking to gain a competitive advantage through the use of data.

The Financial Statements Quick Study Business book is an essential guide for anyone interested in financial statement preparation and analysis. The book provides targeted coverage of the topic, making it easy for students of business to understand the backbone of any successful business. The book covers various forms of businesses, whether governmental, nonprofit, or personal, and provides examples to aid in the understanding of the concepts. This book is an excellent resource for anyone looking to enhance their knowledge of financial accounting and analysis.

Making Numbers Count by Chip Heath is a practical guide to communicating and understanding numbers and data. Heath outlines specific principles that reveal how to translate complex numbers into our brain's language. The book is filled with extreme number makeovers that take a dry number and present it in a way that people can easily comprehend. Heath teaches principles such as simple perspective cues, vividness, converting to a process, and emotional measuring sticks. This book is a must-read for anyone interested in communication skills and global problems like climate change.

Data Science from Scratch: First Principles with Python is a comprehensive guide to understanding the principles and tools of data science. The second edition is updated for Python 3.6 and includes new material on deep learning, statistics, and natural language processing. Author Joel Grus teaches the basics of linear algebra, statistics, and probability, and how to apply them to data science. Readers will also learn how to collect, clean, and manipulate data, and implement machine learning models. Overall, this book is a valuable resource for those looking to gain a solid foundation in data science.

This concise 200-page guide is perfect for amateur and intermediate investors who want to understand the content found in The Intelligent Investor, Security Analysis, and The Wealth of Nations. Warren Buffett's Three Favorite Books provides easy-to-understand explanations and interactive video lessons for complex topics such as stocks, bonds, and preferred shares. The author, who wrote the book to reveal the billion-dollar secrets hidden behind thousands of pages of financial jargon, offers a guide that explains how the wealthy really think and buy assets. Overall, this book is an excellent resource for anyone interested in investing and learning from one of the most successful investors of all time.

"Storytelling with Charts" is an essential guide for anyone who wants to turn boring data and text into engaging stories. Author Sam Schreim provides a logic-based approach to help business professionals and non-professionals create high-impact narratives that resonate with audiences. The book includes comprehensive tools and cheat sheets to quickly master the art of chart-based presentations. Schreim's decades of experience and insights are condensed into an easy-to-follow guide that teaches how to use psychological techniques to create persuasive stories. Overall, this book is a must-read for anyone looking to improve their presentation skills and create compelling data stories.

The book "Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures" by Claus O. Wilke is an essential guide for scientists, engineers, and business analysts who want to create clear and compelling figures from large datasets. The book provides practical solutions to commonly encountered visualization problems and teaches the elements critical to successful data visualization. Wilke explores the basic concepts of color and redundant coding to ensure key information is presented in multiple ways. The book also includes extensive examples of good and bad figures and a graphical guide to commonly used types of data visualizations. Overall, this book is an excellent resource for anyone seeking to effectively communicate complex information through data visualization.