Discrete Mathematics for Data Science

By Jack Pope

Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter. Students of Data Science come from a variety of disciplines, with Business, Statistics, Computer Science, Economics, and Psychology among the departments offering courses on the subject. Therefore, for many students, Data Science is considered a means of insight into a particular field of interest, with the study of its underlying discrete mathematics not a primary objective.

This book covers the topics of Discrete Mathematical Structures relevant to students of Data Science, offering a relevant and gentle introduction to both the theoretical and practical elements required to be a successful data scientist. The relaxed, accessible style makes it a perfect textbook for undergraduates.

Features

Numerous exercises and examples Ideal as a textbook for a Discrete Mathematics course for data science and computer science students Source code and solutions provided as a supplementary resource

• Format: Hardcover
• Language: English
• ISBN: 1032687223
• ISBN13: 9781032687223
• Release Date: March 2026
• Publisher: CRC Press
• Length: 374 Pages
• Weight: 1.63 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"