Data Science for Decision Makers: Using Analytics and Case Studies
Make smarter business decisions using real-world analytics and data-driven strategies.
Print length: 286 pages
Published: December 10, 2024
ISBN: 978-1501520648 (ISBN10: -)
Software Engineering for Data Scientists
Bridge the gap between data science code and scalable, maintainable software engineering practices.
Print length: 257 pages
Published: May 21, 2024
ISBN: 978-1098136208 (ISBN10: 1098136209)
Linear Algebra in Data Science
It explains core mathematical concepts essential for understanding machine learning and data analysis with intuitive, example-driven content.
Print length: 208 pages
Published: May 15, 2024
ISBN: 978-3031549076 (ISBN10: 3031549074)
From Concepts to Code: Introduction to Data Science
It is a beginner-friendly introduction to data science, covering key concepts, algorithms, and hands-on coding techniques for real-world data analysis.
Print length: 386 pages
Published: May 6, 2024
ISBN: 978-1032517957 (ISBN10: 1032517956)
Foundations of Data Science with Python
The book provides a comprehensive introduction to data science using Python, focusing on key concepts, tools, and practical applications for data analysis.
Print length: 502 pages
Published: February 22, 2024
ISBN: 978-1032350424 (ISBN10: 1032350423)
Graph Algorithms for Data Science
The book offers an in-depth exploration of graph algorithms, providing practical techniques for analyzing and interpreting complex data networks effectively.
Print length: 352 pages
Published: March 12, 2024
ISBN: 978-1617299469 (ISBN10: 1617299464)