Discrete Mathematics for Data Science

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

Author: Jack Pope
Binding Type: Paperback
Publisher: CRC Press
Published: 03/30/2026
Pages: 374
Weight: 1.24lbs
Size: 9.21h x 6.14w x 0.83d
ISBN: 9781032687735